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R:Литература - История изменений
2024-03-28T17:45:46Z
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2015-05-05T13:08:08Z
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Артём Клевцов в 09:50, 5 апреля 2015
2015-04-05T09:50:17Z
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<td colspan='2' style="background-color: white; color:black; text-align: center;">← Предыдущая</td>
<td colspan='2' style="background-color: white; color:black; text-align: center;">Версия 09:50, 5 апреля 2015</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l72" >Строка 72:</td>
<td colspan="2" class="diff-lineno">Строка 72:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Chang S. S. Exploring Everyday Things with R and Ruby: Learning About Everyday Things. — O’Reilly Media, 2012. — 252 pp. — ISBN 978-1-449-31515-3. — PDF: http://git.psylab.info/r-library/downloads/Chang2012.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Chang S. S. Exploring Everyday Things with R and Ruby: Learning About Everyday Things. — O’Reilly Media, 2012. — 252 pp. — ISBN 978-1-449-31515-3. — PDF: http://git.psylab.info/r-library/downloads/Chang2012.pdf.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Chang W. R Graphics Cookbook. — O’Reilly Media, 2012. — 413 pp. — ISBN 978-1-449-31695-2. — PDF: http://git.psylab.info/r-library/downloads/Chang2012-1.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Chang W. R Graphics Cookbook. — O’Reilly Media, 2012. — 413 pp. — ISBN 978-1-449-31695-2. — PDF: http://git.psylab.info/r-library/downloads/Chang2012-1.pdf.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Chapman C. N., Feit E. M. R for Marketing Research and Analytics. — Springer, 2015. — 454 pp. — (Use R!) — ISBN 978-3-319-14435-1. — DOI: 10.1007/978-3-319-14436-8. — PDF: http://git.psylab.info/r-library/downloads/Chapman2015.pdf.</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Chatterjee S., Hadi A. S. Regression Analysis by Example. — 5th ed. — Wiley, 2012. — 424 pp. — (Wiley Series in Probability and Statistics). — ISBN 978-0-470-90584-5. — PDF: http://git.psylab.info/r-library/downloads/Chatterjee2012.pdf; ZIP: http://git.psylab.info/r-library/downloads/Chatterjee2012.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Chatterjee S., Hadi A. S. Regression Analysis by Example. — 5th ed. — Wiley, 2012. — 424 pp. — (Wiley Series in Probability and Statistics). — ISBN 978-0-470-90584-5. — PDF: http://git.psylab.info/r-library/downloads/Chatterjee2012.pdf; ZIP: http://git.psylab.info/r-library/downloads/Chatterjee2012.zip.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Chatterjee S., Simonoff J. S. Handbook of Regression Analysis. — Wiley, 2013. — 237 pp. — (Wiley Handbooks in Applied Statistics ; 5). — ISBN 978-0-470-88716-5. — DOI: 10.1002/9781118532843. — PDF: http://git.psylab.info/r-library/downloads/Chatterjee2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Chatterjee2013.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Chatterjee S., Simonoff J. S. Handbook of Regression Analysis. — Wiley, 2013. — 237 pp. — (Wiley Handbooks in Applied Statistics ; 5). — ISBN 978-0-470-88716-5. — DOI: 10.1002/9781118532843. — PDF: http://git.psylab.info/r-library/downloads/Chatterjee2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Chatterjee2013.zip.</div></td></tr>
<tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l101" >Строка 101:</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Dalgaard P. Introductory Statistics with R. — 2nd ed. — Springer, 2008. — 364 pp. — (Statistics and Computing). — ISBN 978-0-387-79053-4. — DOI: 10.1007/978-0-387-79054-1. — PDF: http://git.psylab.info/r-library/downloads/Dalgaard2008.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Dalgaard P. Introductory Statistics with R. — 2nd ed. — Springer, 2008. — 364 pp. — (Statistics and Computing). — ISBN 978-0-387-79053-4. — DOI: 10.1007/978-0-387-79054-1. — PDF: http://git.psylab.info/r-library/downloads/Dalgaard2008.pdf.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Danneman N., Heimann R. Social Media Mining with R: Deploy cutting-edge sentiment analysis techniques to real-world social media data using R. — Packt Publishing, 2014. — 122 pp. — ISBN 978-1-78328-177-0. — PDF: http://git.psylab.info/r-library/downloads/Danneman2014.pdf; ZIP: http://git.psylab.info/r-library/downloads/Danneman2014.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Danneman N., Heimann R. Social Media Mining with R: Deploy cutting-edge sentiment analysis techniques to real-world social media data using R. — Packt Publishing, 2014. — 122 pp. — ISBN 978-1-78328-177-0. — PDF: http://git.psylab.info/r-library/downloads/Danneman2014.pdf; ZIP: http://git.psylab.info/r-library/downloads/Danneman2014.zip.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Dayal V. An Introduction to R for Quantitative Economics: Graphing, Simulating and Computing. — Springer, 2015. — 109 pp. — (SpringerBriefs in Economics). — ISBN 978-81-322-2339-9. — DOI: 10.1007/978-81-322-2340-5. — PDF: http://git.psylab.info/r-library/downloads/Dayal2015.pdf.</ins></div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Deshmukh S. R. Multiple Decrement Models in Insurance: An Introduction Using R. — Springer, 2012. — 220 pp. — ISBN 978-81-322-0658-3. — DOI: 10.1007/978-81-322-0659-0. — PDF: http://git.psylab.info/r-library/downloads/Deshmukh2012.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Deshmukh S. R. Multiple Decrement Models in Insurance: An Introduction Using R. — Springer, 2012. — 220 pp. — ISBN 978-81-322-0658-3. — DOI: 10.1007/978-81-322-0659-0. — PDF: http://git.psylab.info/r-library/downloads/Deshmukh2012.pdf.</div></td></tr>
<tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l141" >Строка 141:</td>
<td colspan="2" class="diff-lineno">Строка 143:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Gries S. T. Statistics for Linguistics with R: A Practical Introduction. — 2nd ed. — De Gruyter Mouton, 2013. — 375 pp. — (Mouton Textbook). — ISBN 978-3-11-030747-4. — PDF: http://git.psylab.info/r-library/downloads/Gries2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gries2013.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Gries S. T. Statistics for Linguistics with R: A Practical Introduction. — 2nd ed. — De Gruyter Mouton, 2013. — 375 pp. — (Mouton Textbook). — ISBN 978-3-11-030747-4. — PDF: http://git.psylab.info/r-library/downloads/Gries2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gries2013.zip.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Grolemund G. Hands-On Programming with R: Write Your Own Functions and Simulations. — O’Reilly Media, 2014. — 248 pp. — ISBN 978-1-4493-5901-0. — PDF: http://git.psylab.info/r-library/downloads/Grolemund2014.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Grolemund G. Hands-On Programming with R: Write Your Own Functions and Simulations. — O’Reilly Media, 2014. — 248 pp. — ISBN 978-1-4493-5901-0. — PDF: http://git.psylab.info/r-library/downloads/Grolemund2014.pdf.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Hardle W. K., Simar L. Applied Multivariate Statistical Analysis. — 4th ed. — Springer, 2015. — 580 pp. — ISBN 978-3-662-45170-0. — DOI: 10.1007/978-3-662-45171-7. — PDF: http://git.psylab.info/r-library/downloads/Hardle2015.pdf; ZIP: http://git.psylab.info/r-library/downloads/Hardle2015.zip.</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Hastie T., Tibshirani R., Friedman J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. — 2nd ed. — Springer, 2009. — 745 pp. — (Springer Series in Statistics). — ISBN 978-0-387-84857-0. — DOI: 10.1007/978-0-387-84858-7. — PDF: http://git.psylab.info/r-library/downloads/Hastie2009.pdf; ZIP: http://git.psylab.info/r-library/downloads/Hastie2009.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Hastie T., Tibshirani R., Friedman J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. — 2nd ed. — Springer, 2009. — 745 pp. — (Springer Series in Statistics). — ISBN 978-0-387-84857-0. — DOI: 10.1007/978-0-387-84858-7. — PDF: http://git.psylab.info/r-library/downloads/Hastie2009.pdf; ZIP: http://git.psylab.info/r-library/downloads/Hastie2009.zip.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Hay-Jahans C. An R Companion to Linear Statistical Models. — Chapman, Hall/CRC, 2011. — 372 pp. — ISBN 978-1-4398-7365-6. — PDF: http://git.psylab.info/r-library/downloads/Hay-Jahans2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Hay-Jahans2011.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Hay-Jahans C. An R Companion to Linear Statistical Models. — Chapman, Hall/CRC, 2011. — 372 pp. — ISBN 978-1-4398-7365-6. — PDF: http://git.psylab.info/r-library/downloads/Hay-Jahans2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Hay-Jahans2011.zip.</div></td></tr>
<tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l275" >Строка 275:</td>
<td colspan="2" class="diff-lineno">Строка 278:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Schumacke R., Tomek S. Understanding Statistics Using R. — Springer, 2013. — 296 pp. — ISBN 978-1-4614-6226-2. — DOI: 10.1007/978-1-4614-6227-9. — PDF: http://git.psylab.info/r-library/downloads/Schumacker2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Schumacker2013.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Schumacke R., Tomek S. Understanding Statistics Using R. — Springer, 2013. — 296 pp. — ISBN 978-1-4614-6226-2. — DOI: 10.1007/978-1-4614-6227-9. — PDF: http://git.psylab.info/r-library/downloads/Schumacker2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Schumacker2013.zip.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Schumacker R. A., Akers A. Understanding Statistical Concepts Using S-plus. — Lawrence Erlbaum Associates, 2001. — 384 pp. — ISBN 978-0-8058-3623-3. — PDF: http://git.psylab.info/r-library/downloads/Schumacker2001.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Schumacker R. A., Akers A. Understanding Statistical Concepts Using S-plus. — Lawrence Erlbaum Associates, 2001. — 384 pp. — ISBN 978-0-8058-3623-3. — PDF: http://git.psylab.info/r-library/downloads/Schumacker2001.pdf.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Scott D. W. Multivariate Density Estimation: Theory, Practice, and Visualization. — 2nd ed. — Wiley, 2015. — 384 pp. — (Wiley Series in Probability and Statistics). — ISBN 978-0-471-69755-8. — DOI: 10.1002/9781118575574. — PDF: http://git.psylab.info/r-library/downloads/Scott2015.pdf.</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Selvin S. Modern Applied Biostatistical Methods: Using S-Plus. — Oxford University Press, 1998. — 476 pp. — (Monographs in Epidemiology and Biostatistics ; 28). — ISBN 978-0-19-512025-7. — PDF: http://git.psylab.info/r-library/downloads/Selvin1998.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Selvin S. Modern Applied Biostatistical Methods: Using S-Plus. — Oxford University Press, 1998. — 476 pp. — (Monographs in Epidemiology and Biostatistics ; 28). — ISBN 978-0-19-512025-7. — PDF: http://git.psylab.info/r-library/downloads/Selvin1998.pdf.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Shahbaba B. Biostatistics with R: An Introduction to Statistics Through Biological Data. — Springer, 2012. — 368 pp. — (Use R!) — ISBN 978-1-4614-1301-1. — DOI: 10.1007/978-1-4614-1302-8. — PDF: http://git.psylab.info/r-library/downloads/Shahbaba2012.pdf; ZIP: http://git.psylab.info/r-library/downloads/Shahbaba2012.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Shahbaba B. Biostatistics with R: An Introduction to Statistics Through Biological Data. — Springer, 2012. — 368 pp. — (Use R!) — ISBN 978-1-4614-1301-1. — DOI: 10.1007/978-1-4614-1302-8. — PDF: http://git.psylab.info/r-library/downloads/Shahbaba2012.pdf; ZIP: http://git.psylab.info/r-library/downloads/Shahbaba2012.zip.</div></td></tr>
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Артём Клевцов
https://psylab.info/index.php?title=R:%D0%9B%D0%B8%D1%82%D0%B5%D1%80%D0%B0%D1%82%D1%83%D1%80%D0%B0&diff=10408&oldid=prev
Артём Клевцов в 09:32, 24 марта 2015
2015-03-24T09:32:16Z
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Maindonald J. H., Braun W. J. Data Analysis and Graphics Using R: An Example-Based Approach. — 3rd ed. — Cambridge University Press, 2010. — 565 pp. — (Cambridge Series in Statistical and Probabilistic Mathematics). — ISBN 978-0-521-76293-9. — PDF: http://git.psylab.info/r-library/downloads/Maindonald2010.pdf; ZIP: http://git.psylab.info/r-library/downloads/Maindonald2010.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Maindonald J. H., Braun W. J. Data Analysis and Graphics Using R: An Example-Based Approach. — 3rd ed. — Cambridge University Press, 2010. — 565 pp. — (Cambridge Series in Statistical and Probabilistic Mathematics). — ISBN 978-0-521-76293-9. — PDF: http://git.psylab.info/r-library/downloads/Maindonald2010.pdf; ZIP: http://git.psylab.info/r-library/downloads/Maindonald2010.zip.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Makhabel B. Learning Data Mining with R: Develop key skills and techniques with R to create and customize data mining algorithms. — Packt Publishing, 2015. — 380 pp. — ISBN 978-1-78398-210-3. — PDF: http://git.psylab.info/r-library/downloads/Makhabel2015.pdf; ZIP: http://git.psylab.info/r-library/downloads/Makhabel2015.zip.</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Marin J.-M., Robert C. Bayesian Essentials with R. — 2nd ed. — Springer, 2014. — 312 pp. — (Springer Texts in Statistics). — ISBN 978-1-4614-8686-2. — DOI: 10.1007/978-1-4614-8687-9. — PDF: http://git.psylab.info/r-library/downloads/MarinRobert2014.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Marin J.-M., Robert C. Bayesian Essentials with R. — 2nd ed. — Springer, 2014. — 312 pp. — (Springer Texts in Statistics). — ISBN 978-1-4614-8686-2. — DOI: 10.1007/978-1-4614-8687-9. — PDF: http://git.psylab.info/r-library/downloads/MarinRobert2014.pdf.</div></td></tr>
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Артём Клевцов
https://psylab.info/index.php?title=R:%D0%9B%D0%B8%D1%82%D0%B5%D1%80%D0%B0%D1%82%D1%83%D1%80%D0%B0&diff=10404&oldid=prev
Артём Клевцов в 05:54, 15 марта 2015
2015-03-15T05:54:41Z
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Quick J. M. Statistical Analysis with R Beginner’s Guide. — Packt Publishing, 2010. — 300 pp. — ISBN 978-1-849512-08-4. — PDF: http://git.psylab.info/r-library/downloads/Quick2010.pdf; ZIP: http://git.psylab.info/r-library/downloads/Quick2010.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Quick J. M. Statistical Analysis with R Beginner’s Guide. — Packt Publishing, 2010. — 300 pp. — ISBN 978-1-849512-08-4. — PDF: http://git.psylab.info/r-library/downloads/Quick2010.pdf; ZIP: http://git.psylab.info/r-library/downloads/Quick2010.zip.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Ramsay J. ., Hooker G., Graves S. Functional Data Analysis with R and MATLAB. — Springer, 2009. — 213 pp. — (Use R!) — ISBN 978-0-387-98184-0. — DOI: 10.1007/978-0-387-98185-7. — PDF: http://git.psylab.info/r-library/downloads/Ramsay2009.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Ramsay J. ., Hooker G., Graves S. Functional Data Analysis with R and MATLAB. — Springer, 2009. — 213 pp. — (Use R!) — ISBN 978-0-387-98184-0. — DOI: 10.1007/978-0-387-98185-7. — PDF: http://git.psylab.info/r-library/downloads/Ramsay2009.pdf.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Rao S. S. A course in Time Series Analysis. — 2014. — 325 pp. — PDF: http://git.psylab.info/r-library/downloads/Rao2014.pdf.</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Rayner J. C. W., Thas O., Best D. J. Smooth Tests of Goodness of Fit: Using R. — 2nd ed. — Wiley, 2009. — 290 pp. — (The Wiley Series in Probability and Statistics). — ISBN 978-0-470-82442-9. — DOI: 10.1002/9780470824443. — PDF: http://git.psylab.info/r-library/downloads/Rayner2009.pdf; ZIP: http://git.psylab.info/r-library/downloads/Rayner2009.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Rayner J. C. W., Thas O., Best D. J. Smooth Tests of Goodness of Fit: Using R. — 2nd ed. — Wiley, 2009. — 290 pp. — (The Wiley Series in Probability and Statistics). — ISBN 978-0-470-82442-9. — DOI: 10.1002/9780470824443. — PDF: http://git.psylab.info/r-library/downloads/Rayner2009.pdf; ZIP: http://git.psylab.info/r-library/downloads/Rayner2009.zip.</div></td></tr>
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Артём Клевцов
https://psylab.info/index.php?title=R:%D0%9B%D0%B8%D1%82%D0%B5%D1%80%D0%B0%D1%82%D1%83%D1%80%D0%B0&diff=10401&oldid=prev
Артём Клевцов в 12:23, 14 марта 2015
2015-03-14T12:23:04Z
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Chang S. S. Exploring Everyday Things with R and Ruby: Learning About Everyday Things. — O’Reilly Media, 2012. — 252 pp. — ISBN 978-1-449-31515-3. — PDF: http://git.psylab.info/r-library/downloads/Chang2012.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Chang S. S. Exploring Everyday Things with R and Ruby: Learning About Everyday Things. — O’Reilly Media, 2012. — 252 pp. — ISBN 978-1-449-31515-3. — PDF: http://git.psylab.info/r-library/downloads/Chang2012.pdf.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Chang W. R Graphics Cookbook. — O’Reilly Media, 2012. — 413 pp. — ISBN 978-1-449-31695-2. — PDF: http://git.psylab.info/r-library/downloads/Chang2012-1.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Chang W. R Graphics Cookbook. — O’Reilly Media, 2012. — 413 pp. — ISBN 978-1-449-31695-2. — PDF: http://git.psylab.info/r-library/downloads/Chang2012-1.pdf.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Chatterjee S., Hadi A. S. Regression Analysis by Example. — 5th ed. — Wiley, 2012. — 424 pp. — (Wiley Series in Probability and Statistics). — ISBN 978-0-470-90584-5. — PDF: http://git.psylab.info/r-library/downloads/Chatterjee2012.pdf; ZIP: http://git.psylab.info/r-library/downloads/Chatterjee2012.zip.</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Chatterjee S., Simonoff J. S. Handbook of Regression Analysis. — Wiley, 2013. — 237 pp. — (Wiley Handbooks in Applied Statistics ; 5). — ISBN 978-0-470-88716-5. — DOI: 10.1002/9781118532843. — PDF: http://git.psylab.info/r-library/downloads/Chatterjee2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Chatterjee2013.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Chatterjee S., Simonoff J. S. Handbook of Regression Analysis. — Wiley, 2013. — 237 pp. — (Wiley Handbooks in Applied Statistics ; 5). — ISBN 978-0-470-88716-5. — DOI: 10.1002/9781118532843. — PDF: http://git.psylab.info/r-library/downloads/Chatterjee2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Chatterjee2013.zip.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Chattopadhyay A. K., Chattopadhyay T. Statistical Methods for Astronomical Data Analysis. — Springer, 2014. — 349 pp. — (Springer Series in Astrostatistics ; 3). — ISBN 978-1-4939-1506-4. — DOI: 10.1007/978-1-4939-1507-1. — PDF: http://git.psylab.info/r-library/downloads/Chattopadhyay2014.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Chattopadhyay A. K., Chattopadhyay T. Statistical Methods for Astronomical Data Analysis. — Springer, 2014. — 349 pp. — (Springer Series in Astrostatistics ; 3). — ISBN 978-1-4939-1506-4. — DOI: 10.1007/978-1-4939-1507-1. — PDF: http://git.psylab.info/r-library/downloads/Chattopadhyay2014.pdf.</div></td></tr>
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Артём Клевцов
https://psylab.info/index.php?title=R:%D0%9B%D0%B8%D1%82%D0%B5%D1%80%D0%B0%D1%82%D1%83%D1%80%D0%B0&diff=10400&oldid=prev
Артём Клевцов в 14:10, 13 марта 2015
2015-03-13T14:10:37Z
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</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l159" >Строка 159:</td>
<td colspan="2" class="diff-lineno">Строка 159:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Interval-Censored Time-to-Event Data: Methods and Applications / ed. by D.-G. Chen, J. Sun, K. E. Peace. — Chapman, Hall/CRC, 2012. — 426 pp. — (Chapman &amp; Hall/CRC Biostatistics Series ; 52). — ISBN 978-1-4665-0428-8. — DOI: 10.1201/b12290. — PDF: http://git.psylab.info/r-library/downloads/Chen2012.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Interval-Censored Time-to-Event Data: Methods and Applications / ed. by D.-G. Chen, J. Sun, K. E. Peace. — Chapman, Hall/CRC, 2012. — 426 pp. — (Chapman &amp; Hall/CRC Biostatistics Series ; 52). — ISBN 978-1-4665-0428-8. — DOI: 10.1201/b12290. — PDF: http://git.psylab.info/r-library/downloads/Chen2012.pdf.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Introduction to R for Quantitative Finance / G. Daróczi [et al.]. — Packt Publishing, 2013. — 164 pp. — ISBN 978-1-78328-093-3. — PDF: http://git.psylab.info/r-library/downloads/Daroczi2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Daroczi2013.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Introduction to R for Quantitative Finance / G. Daróczi [et al.]. — Packt Publishing, 2013. — 164 pp. — ISBN 978-1-78328-093-3. — PDF: http://git.psylab.info/r-library/downloads/Daroczi2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Daroczi2013.zip.</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div># Jacobs J., Rudis R. Data-Driven Security: Analysis, Visualization and Dashboards. — Wiley, 2014. — 352 pp. — ISBN 978-1-118-79372-5. — PDF: http://git.psylab.info/r-library/downloads/Jacobs2014.pdf; ZIP: http://git.psylab.info/r-library/downloads/Jacobs2014.<del class="diffchange diffchange-inline">pdf</del>.</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div># Jacobs J., Rudis R. Data-Driven Security: Analysis, Visualization and Dashboards. — Wiley, 2014. — 352 pp. — ISBN 978-1-118-79372-5. — PDF: http://git.psylab.info/r-library/downloads/Jacobs2014.pdf; ZIP: http://git.psylab.info/r-library/downloads/Jacobs2014.<ins class="diffchange diffchange-inline">zip</ins>.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Janacek G. Unlock the Secrets of R. — 2007. — 72 pp. — PDF: http://git.psylab.info/r-library/downloads/Janacek2007.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Janacek G. Unlock the Secrets of R. — 2007. — 72 pp. — PDF: http://git.psylab.info/r-library/downloads/Janacek2007.pdf.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Janert P. K. Data Analysis with Open Source Tools. — O’Reilly Media, 2010. — 540 pp. — ISBN 978-0-596-80235-6. — PDF: http://git.psylab.info/r-library/downloads/Janert2010.pdf; ZIP: http://git.psylab.info/r-library/downloads/Janert2010.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Janert P. K. Data Analysis with Open Source Tools. — O’Reilly Media, 2010. — 540 pp. — ISBN 978-0-596-80235-6. — PDF: http://git.psylab.info/r-library/downloads/Janert2010.pdf; ZIP: http://git.psylab.info/r-library/downloads/Janert2010.zip.</div></td></tr>
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Артём Клевцов
https://psylab.info/index.php?title=R:%D0%9B%D0%B8%D1%82%D0%B5%D1%80%D0%B0%D1%82%D1%83%D1%80%D0%B0&diff=10399&oldid=prev
Артём Клевцов в 14:08, 13 марта 2015
2015-03-13T14:08:48Z
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<td colspan='2' style="background-color: white; color:black; text-align: center;">Версия 14:08, 13 марта 2015</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l134" >Строка 134:</td>
<td colspan="2" class="diff-lineno">Строка 134:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Gerrard P., Johnson R. M. Mastering Scientific Computing with R: Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment. — Packt Publishing, 2015. — 432 pp. — ISBN 978-1-78355-525-3. — PDF: http://git.psylab.info/r-library/downloads/Gerrard2015.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gerrard2015.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Gerrard P., Johnson R. M. Mastering Scientific Computing with R: Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment. — Packt Publishing, 2015. — 432 pp. — ISBN 978-1-78355-525-3. — PDF: http://git.psylab.info/r-library/downloads/Gerrard2015.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gerrard2015.zip.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Gilli M., Maringer D., Schumann E. Numerical Methods and Optimization in Finance. — Academic Press, 2011. — 584 pp. — ISBN 978-0-12-375662-6. — PDF: http://git.psylab.info/r-library/downloads/Gilli2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gilli2011.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Gilli M., Maringer D., Schumann E. Numerical Methods and Optimization in Finance. — Academic Press, 2011. — 584 pp. — ISBN 978-0-12-375662-6. — PDF: http://git.psylab.info/r-library/downloads/Gilli2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gilli2011.zip.</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div># Gohil A. R Data Visualization Cookbook. — Packt Publishing, 2015. — 236 pp. — ISBN 978-1-78398-950-8. — PDF: http://git.psylab.info/r-library/downloads/Gohil2015.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gohil2015.zip.</div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div># Gohil A. R Data Visualization Cookbook<ins class="diffchange diffchange-inline">: Over 80 recipes to analyze data and create stunning visualizations with R</ins>. — Packt Publishing, 2015. — 236 pp. — ISBN 978-1-78398-950-8. — PDF: http://git.psylab.info/r-library/downloads/Gohil2015.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gohil2015.zip.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Good P. I. Introduction to Statistics Through Resampling Methods and R. — 2nd ed. — Wiley, 2013. — 217 pp. — ISBN 978-1-118-42821-4. — DOI: 10.1002/9781118497593. — PDF: http://git.psylab.info/r-library/downloads/Good2013.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Good P. I. Introduction to Statistics Through Resampling Methods and R. — 2nd ed. — Wiley, 2013. — 217 pp. — ISBN 978-1-118-42821-4. — DOI: 10.1002/9781118497593. — PDF: http://git.psylab.info/r-library/downloads/Good2013.pdf.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Greenacre M. Correspondence Analysis in Practice. — 2nd ed. — Chapman, Hall/CRC, 2007. — 296 pp. — (Chapman &amp; Hall/CRC Interdisciplinary Statistics). — ISBN 978-1-58488-616-7. — DOI: 10.1201/9781420011234. — PDF: http://git.psylab.info/r-library/downloads/Greenacre2007.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Greenacre M. Correspondence Analysis in Practice. — 2nd ed. — Chapman, Hall/CRC, 2007. — 296 pp. — (Chapman &amp; Hall/CRC Interdisciplinary Statistics). — ISBN 978-1-58488-616-7. — DOI: 10.1201/9781420011234. — PDF: http://git.psylab.info/r-library/downloads/Greenacre2007.pdf.</div></td></tr>
<tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l198" >Строка 198:</td>
<td colspan="2" class="diff-lineno">Строка 198:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Leipzig J., Li X. Data Mashups in R. — O’Reilly Media, 2011. — 40 pp. — ISBN 978-1-449-30353-2. — PDF: http://git.psylab.info/r-library/downloads/Leipzig2011.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Leipzig J., Li X. Data Mashups in R. — O’Reilly Media, 2011. — 40 pp. — ISBN 978-1-449-30353-2. — PDF: http://git.psylab.info/r-library/downloads/Leipzig2011.pdf.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Li Y., Baron J. Behavioral Research Data Analysis with R. — Springer, 2012. — 245 pp. — (Use R!) — ISBN 978-1-4614-1237-3. — DOI: 10.1007/978-1-4614-1238-0. — PDF: http://git.psylab.info/r-library/downloads/LiBaron2012.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Li Y., Baron J. Behavioral Research Data Analysis with R. — Springer, 2012. — 245 pp. — (Use R!) — ISBN 978-1-4614-1237-3. — DOI: 10.1007/978-1-4614-1238-0. — PDF: http://git.psylab.info/r-library/downloads/LiBaron2012.pdf.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Lim A., Tjhi W. R High Performance Programming: Overcome performance difficulties in R with a range of exciting techniques and solutions. — Packt Publishing, 2015. — 176 pp. — ISBN 978-1-78398-926-3. — PDF: http://git.psylab.info/r-library/downloads/Lim2015.pdf; ZIP: http://git.psylab.info/r-library/downloads/Lim2015.zip.</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Lindsey J. K. Statistical Analysis of Stochastic Processes in Time. — Cambridge University Press, 2004. — 354 pp. — (Cambridge Series in Statistical and Probabilistic Mathematics ; 14). — ISBN 978-0-521-83741-5. — PDF: http://git.psylab.info/r-library/downloads/Lindsey2004.pdf; ZIP: http://git.psylab.info/r-library/downloads/Lindsey2004.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Lindsey J. K. Statistical Analysis of Stochastic Processes in Time. — Cambridge University Press, 2004. — 354 pp. — (Cambridge Series in Statistical and Probabilistic Mathematics ; 14). — ISBN 978-0-521-83741-5. — PDF: http://git.psylab.info/r-library/downloads/Lindsey2004.pdf; ZIP: http://git.psylab.info/r-library/downloads/Lindsey2004.zip.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Logan M. Biostatistical Design and Analysis Using R: A Practical Guide. — Wiley-Blackwell, 2010. — 576 pp. — ISBN 978-1-4443-3524-8. — DOI: 10.1002/9781444319620. — PDF: http://git.psylab.info/r-library/downloads/Logan2010.pdf; ZIP: http://git.psylab.info/r-library/downloads/Logan2010.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Logan M. Biostatistical Design and Analysis Using R: A Practical Guide. — Wiley-Blackwell, 2010. — 576 pp. — ISBN 978-1-4443-3524-8. — DOI: 10.1002/9781444319620. — PDF: http://git.psylab.info/r-library/downloads/Logan2010.pdf; ZIP: http://git.psylab.info/r-library/downloads/Logan2010.zip.</div></td></tr>
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Артём Клевцов
https://psylab.info/index.php?title=R:%D0%9B%D0%B8%D1%82%D0%B5%D1%80%D0%B0%D1%82%D1%83%D1%80%D0%B0&diff=10398&oldid=prev
Артём Клевцов в 13:48, 13 марта 2015
2015-03-13T13:48:34Z
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<td colspan='2' style="background-color: white; color:black; text-align: center;">Версия 13:48, 13 марта 2015</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l131" >Строка 131:</td>
<td colspan="2" class="diff-lineno">Строка 131:</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Gelman A., Hill J. Data Analysis Using Regression and Multilevel/Hierarchical Models. — Cambridge University Press, 2006. — 651 pp. — ISBN 978-0-521-86706-1. — DOI: 10.1017/cbo9780511790942. — PDF: http://git.psylab.info/r-library/downloads/Gelman2006.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Gelman A., Hill J. Data Analysis Using Regression and Multilevel/Hierarchical Models. — Cambridge University Press, 2006. — 651 pp. — ISBN 978-0-521-86706-1. — DOI: 10.1017/cbo9780511790942. — PDF: http://git.psylab.info/r-library/downloads/Gelman2006.pdf.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Gentleman R. R Programming for Bioinformatics. — Chapman, Hall/CRC, 2008. — 328 pp. — (Chapman &amp; Hall/CRC Computer Science &amp; Data Analysis). — ISBN 978-1-4200-6367-7. — DOI: 10.1201/9781420063684. — PDF: http://git.psylab.info/r-library/downloads/Gentleman2008.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gentleman2008.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Gentleman R. R Programming for Bioinformatics. — Chapman, Hall/CRC, 2008. — 328 pp. — (Chapman &amp; Hall/CRC Computer Science &amp; Data Analysis). — ISBN 978-1-4200-6367-7. — DOI: 10.1201/9781420063684. — PDF: http://git.psylab.info/r-library/downloads/Gentleman2008.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gentleman2008.zip.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Georgakopoulos H. Quantitative Trading with R: Understanding Mathematical and Computational Tools from a Quant’s Perspective. — Palgrave Macmillan, 2015. — 292 pp. — ISBN 978-1-137-35407-5. — PDF: http://git.psylab.info/r-library/downloads/Georgakopoulos2015.pdf.</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Gerrard P., Johnson R. M. Mastering Scientific Computing with R: Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment. — Packt Publishing, 2015. — 432 pp. — ISBN 978-1-78355-525-3. — PDF: http://git.psylab.info/r-library/downloads/Gerrard2015.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gerrard2015.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Gerrard P., Johnson R. M. Mastering Scientific Computing with R: Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment. — Packt Publishing, 2015. — 432 pp. — ISBN 978-1-78355-525-3. — PDF: http://git.psylab.info/r-library/downloads/Gerrard2015.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gerrard2015.zip.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Gilli M., Maringer D., Schumann E. Numerical Methods and Optimization in Finance. — Academic Press, 2011. — 584 pp. — ISBN 978-0-12-375662-6. — PDF: http://git.psylab.info/r-library/downloads/Gilli2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gilli2011.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Gilli M., Maringer D., Schumann E. Numerical Methods and Optimization in Finance. — Academic Press, 2011. — 584 pp. — ISBN 978-0-12-375662-6. — PDF: http://git.psylab.info/r-library/downloads/Gilli2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gilli2011.zip.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Gohil A. R Data Visualization Cookbook. — Packt Publishing, 2015. — 236 pp. — ISBN 978-1-78398-950-8. — PDF: http://git.psylab.info/r-library/downloads/Gohil2015.pdf; ZIP: http://git.psylab.info/r-library/downloads/Gohil2015.zip.</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Good P. I. Introduction to Statistics Through Resampling Methods and R. — 2nd ed. — Wiley, 2013. — 217 pp. — ISBN 978-1-118-42821-4. — DOI: 10.1002/9781118497593. — PDF: http://git.psylab.info/r-library/downloads/Good2013.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Good P. I. Introduction to Statistics Through Resampling Methods and R. — 2nd ed. — Wiley, 2013. — 217 pp. — ISBN 978-1-118-42821-4. — DOI: 10.1002/9781118497593. — PDF: http://git.psylab.info/r-library/downloads/Good2013.pdf.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Greenacre M. Correspondence Analysis in Practice. — 2nd ed. — Chapman, Hall/CRC, 2007. — 296 pp. — (Chapman &amp; Hall/CRC Interdisciplinary Statistics). — ISBN 978-1-58488-616-7. — DOI: 10.1201/9781420011234. — PDF: http://git.psylab.info/r-library/downloads/Greenacre2007.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Greenacre M. Correspondence Analysis in Practice. — 2nd ed. — Chapman, Hall/CRC, 2007. — 296 pp. — (Chapman &amp; Hall/CRC Interdisciplinary Statistics). — ISBN 978-1-58488-616-7. — DOI: 10.1201/9781420011234. — PDF: http://git.psylab.info/r-library/downloads/Greenacre2007.pdf.</div></td></tr>
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Артём Клевцов
https://psylab.info/index.php?title=R:%D0%9B%D0%B8%D1%82%D0%B5%D1%80%D0%B0%D1%82%D1%83%D1%80%D0%B0&diff=10391&oldid=prev
Артём Клевцов в 13:33, 8 марта 2015
2015-03-08T13:33:08Z
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Eddelbuettel D. Seamless R and C++ Integration with Rcpp. — Springer, 2013. — 220 pp. — (Use R! ; 64). — ISBN 978-1-4614-6867-7. — DOI: 10.1007/978-1-4614-6868-4. — PDF: http://git.psylab.info/r-library/downloads/Eddelbuettel2013.pdf.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Eddelbuettel D. Seamless R and C++ Integration with Rcpp. — Springer, 2013. — 220 pp. — (Use R! ; 64). — ISBN 978-1-4614-6867-7. — DOI: 10.1007/978-1-4614-6868-4. — PDF: http://git.psylab.info/r-library/downloads/Eddelbuettel2013.pdf.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Ekstrom C. T. The R Primer. — Chapman, Hall/CRC, 2011. — 299 pp. — ISBN 978-1-4398-6206-3. — DOI: 10.1201/b11150. — PDF: http://git.psylab.info/r-library/downloads/Ekstrom2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Ekstrom2011.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Ekstrom C. T. The R Primer. — Chapman, Hall/CRC, 2011. — 299 pp. — ISBN 978-1-4398-6206-3. — DOI: 10.1201/b11150. — PDF: http://git.psylab.info/r-library/downloads/Ekstrom2011.pdf; ZIP: http://git.psylab.info/r-library/downloads/Ekstrom2011.zip.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Elston S. F. R in a Nutshell: Data Science in the Cloud. — O’Reilly Media, 2015. — 52 pp. — ISBN 978-1-491-91959-0. — PDF: http://git.psylab.info/r-library/downloads/Elston2015.pdf; ZIP: http://git.psylab.info/r-library/downloads/Elston2015.zip.</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Ergül Ö. Guide to Programming and Algorithms Using R. — Springer, 2013. — 200 pp. — ISBN 978-1-4471-5327-6. — DOI: 10.1007/978-1-4471-5328-3. — PDF: http://git.psylab.info/r-library/downloads/Ergul2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Ergul2013.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Ergül Ö. Guide to Programming and Algorithms Using R. — Springer, 2013. — 200 pp. — ISBN 978-1-4471-5327-6. — DOI: 10.1007/978-1-4471-5328-3. — PDF: http://git.psylab.info/r-library/downloads/Ergul2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Ergul2013.zip.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Everitt B. S. An R and S-Plus® Companion to Multivariate Analysis. — 2nd ed. — Springer, 2007. — 221 pp. — (Springer Texts in Statistics). — ISBN 978-1-85233-882-4. — DOI: 10.1007/b138954. — PDF: http://git.psylab.info/r-library/downloads/Everitt2007.pdf; ZIP: http://git.psylab.info/r-library/downloads/Everitt2007.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Everitt B. S. An R and S-Plus® Companion to Multivariate Analysis. — 2nd ed. — Springer, 2007. — 221 pp. — (Springer Texts in Statistics). — ISBN 978-1-85233-882-4. — DOI: 10.1007/b138954. — PDF: http://git.psylab.info/r-library/downloads/Everitt2007.pdf; ZIP: http://git.psylab.info/r-library/downloads/Everitt2007.zip.</div></td></tr>
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Артём Клевцов
https://psylab.info/index.php?title=R:%D0%9B%D0%B8%D1%82%D0%B5%D1%80%D0%B0%D1%82%D1%83%D1%80%D0%B0&diff=10344&oldid=prev
Артём Клевцов в 15:31, 6 марта 2015
2015-03-06T15:31:01Z
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<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Lamigueiro O. P. Displaying Time Series, Spatial, and Space-Time Data with R. — Chapman, Hall/CRC, 2014. — 206 pp. — (Chapman &amp; Hall/CRC The R Series). — ISBN 978-1-4665-6522-7. — PDF: http://git.psylab.info/r-library/downloads/Lamigueiro2014.pdf; ZIP: http://git.psylab.info/r-library/downloads/Lamigueiro2014.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Lamigueiro O. P. Displaying Time Series, Spatial, and Space-Time Data with R. — Chapman, Hall/CRC, 2014. — 206 pp. — (Chapman &amp; Hall/CRC The R Series). — ISBN 978-1-4665-6522-7. — PDF: http://git.psylab.info/r-library/downloads/Lamigueiro2014.pdf; ZIP: http://git.psylab.info/r-library/downloads/Lamigueiro2014.zip.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Lantz B. Machine Learning with R. — Packt Publishing, 2013. — 396 pp. — ISBN 978-1-78216-214-8. — PDF: http://git.psylab.info/r-library/downloads/Lantz2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Lantz2013.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Lantz B. Machine Learning with R. — Packt Publishing, 2013. — 396 pp. — ISBN 978-1-78216-214-8. — PDF: http://git.psylab.info/r-library/downloads/Lantz2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Lantz2013.zip.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"># Larson-Hall J. A Guide to Doing Statistics in Second Language Research Using R. — Routledge, 2009. — 320 pp. — (Second Language Acquisition Research Series). — PDF: http://git.psylab.info/r-library/downloads/Larson-Hall2009.pdf; ZIP: http://git.psylab.info/r-library/downloads/Larson-Hall2009.zip.</ins></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Lavine M. L. Introduction to Statistical Thought. — 2013. — 463 pp. — PDF: http://git.psylab.info/r-library/downloads/Lavine2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Lavine2013.zip.</div></td><td class='diff-marker'> </td><td style="background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;"><div># Lavine M. L. Introduction to Statistical Thought. — 2013. — 463 pp. — PDF: http://git.psylab.info/r-library/downloads/Lavine2013.pdf; ZIP: http://git.psylab.info/r-library/downloads/Lavine2013.zip.</div></td></tr>
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