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1.

図書

図書
M.ヴコブラトビッチ著 ; 加藤一郎監訳
出版情報: 東京 : 日刊工業新聞社, 1979.8  3, 178, 3p ; 27cm
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2.

図書

図書
edited by P. J. Hautojärvi ; with contributions by A. Dupasquier ... [et al.]
出版情報: Berlin : Springer-Verlag, 1979  xi, 255 p. ; 25 cm
シリーズ名: Topics in current physics ; v. 12
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3.

図書

図書
edited by G. T. Herman ; with contributions by M. D. Altschuler ... [et al.]
出版情報: Berlin ; New York : Springer-Verlag, 1979  xii, 284 p. ; 24 cm
シリーズ名: Topics in applied physics ; v. 32
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目次情報: 続きを見る
Introduction / 1:
Why Learn R? / 1.1:
Is R Accurate? / 1.2:
What About Tech Support? / 1.3:
The Five Main Parts of SAS and SPSS / 2:
Programming Conventions / 3:
Typographic Conventions / 4:
Installing and Updating R / 5:
Installing Add-on Packages / 5.1:
Loading an Add-on Package / 5.2:
Updating Your Installation / 5.3:
Uninstalling R / 5.4:
Choosing Repositories / 5.5:
Accessing Data in Packages / 5.6:
Running R / 6:
Running R Interactively on Windows / 6.1:
Running R Interactively on Macintosh / 6.2:
Running R Interactively on Linux or UNIX / 6.3:
Running Programs that Include Other Programs / 6.4:
Running R in Batch Mode / 6.5:
Running R from SPSS / 6.6:
Graphical User Interfaces / 6.7:
R Commander / 6.7.1:
Rattle for Data Mining / 6.7.2:
JGR Java GUI for R / 6.7.3:
Help and Documentation / 7:
Help Files / 7.1:
Starting Help / 7.2:
Help Examples / 7.3:
Help for Functions that Call Other Functions / 7.4:
Help for Packages / 7.5:
Help for Datasets / 7.6:
Books and Manuals / 7.7:
E-mail Lists / 7.8:
Searching the Web / 7.9:
Vignettes / 7.10:
Programming Language Basics / 8:
Simple Calculations / 8.1:
Data Structures / 8.2:
Vectors / 8.2.1:
Factors / 8.2.2:
Data Frames / 8.2.3:
Matrices / 8.2.4:
Arrays / 8.2.5:
Lists / 8.2.6:
Saving Your Work So Far / 8.3:
Comments to Document Your Programs / 8.4:
Controlling Functions (Procedures) / 8.5:
Controlling Functions with Arguments / 8.5.1:
Controlling Functions with Formulas / 8.5.2:
Controlling Functions with an Object's Class / 8.5.3:
Controlling Functions with Extractor Functions - ODS, OMS / 8.5.4:
How Much Output Is There? / 8.5.5:
Writing Your Own Functions (Macros) / 8.5.6:
Data Acquisition / 9:
The R Data Editor / 9.1:
Reading Delimited Text Files / 9.2:
Reading Text Data Within a Program (Datalines, Cards, Begin Data...) / 9.3:
Reading Data from the Keyboard / 9.4:
Reading Fixed-Width Text Files, One Record per Case / 9.5:
Macro Substitution / 9.5.1:
Reading Fixed-Width Text Files, Two or More Records per Case / 9.6:
Importing Data from SAS / 9.7:
Importing Data from SPSS / 9.8:
Exporting Data / 9.9:
Viewing an External Text File / 9.9.1:
Selecting Variables - Var, Variables = / 10:
Selecting Variables in SAS and SPSS / 10.1:
Selecting All Variables / 10.2:
Selecting Variables by Index Number / 10.3:
Selecting Variables by Column Name / 10.4:
Selecting Variables Using Logic / 10.5:
Selecting Variables by String Search (varname: or varname1-varnameN) / 10.6:
Selecting Variables Using $ Notation / 10.7:
Selecting Variables by Simple Name: attach and with / 10.8:
Selecting Variables with the subset Function (varname1-varnameN) / 10.9:
Selecting Variables by List / 10.10:
Generating Indexes A to Z from Two Variable Names / 10.11:
Saving Selected Variables to a New Dataset / 10.12:
Example Programs for Variable Selection / 10.13:
Selecting Observations - Where, If, Select If, Filter / 11:
Selecting Observations in SAS and SPSS / 11.1:
Selecting All Observations / 11.2:
Selecting Observations by Index Number / 11.3:
Selecting Observations by Row Name / 11.4:
Selecting Observations Using Logic / 11.5:
Selecting Observations by String Search / 11.6:
Selecting Observations with the subset Function / 11.7:
Generating Indexes from A to Z from Two Row Names / 11.8:
Variable Selection Methods with No Counterpart for Selecting Observations / 11.9:
Saving Selected Observations to a New Data Frame / 11.10:
Example Programs for Selecting Observations / 11.11:
Selecting Both Variables and Observations / 12:
Converting Data Structures / 13:
Converting from Logical to Index and Back / 13.1:
Data Management / 14:
Transforming Variables / 14.1:
Procedures or Functions? The apply Function Decides / 14.2:
Applying the mean Function / 14.2.1:
Finding N or NVALID / 14.2.2:
Conditional Transformations / 14.3:
Multiple Conditional Transformations / 14.4:
Missing Values / 14.5:
Substituting Means for Missing Values / 14.5.1:
Finding Complete Observations / 14.5.2:
When "99" Has Meaning / 14.5.3:
Renaming Variables (... and Observations) / 14.6:
Renaming Variables - Advanced Examples / 14.7:
Renaming by Index / 14.7.1:
Renaming by Column Name / 14.7.2:
Renaming Many Sequentially Numbered Variable Names / 14.7.3:
Renaming Observations / 14.7.4:
Recoding Variables / 14.8:
Recoding a Few Variables / 14.8.1:
Recoding Many Variables / 14.8.2:
Keeping and Dropping Variables / 14.9:
Stacking/Concatenating/Adding Datasets / 14.10:
Joining/Merging Data Frames / 14.11:
Creating Summarized or Aggregated Datasets / 14.12:
The aggregate Function / 14.12.1:
The tapply Function / 14.12.2:
Merging Aggregates with Original Data / 14.12.3:
Tabular Aggregation / 14.12.4:
The reshape Package / 14.12.5:
By or Split File Processing / 14.13:
Comparing Summarization Methods / 14.13.1:
Example Programs for By or Split File Processing / 14.13.2:
Removing Duplicate Observations / 14.14:
Selecting First or Last Observations per Group / 14.15:
Reshaping Variables to Observations and Back / 14.16:
Sorting Data Frames / 14.17:
Value Labels or Formats (and Measurement Level) / 15:
Character Factors / 15.1:
Numeric Factors / 15.2:
Making Factors of Many Variables / 15.3:
Converting Factors into Numeric or Character Variables / 15.4:
Dropping Factor Levels / 15.5:
Variable Labels / 16:
Generating Data / 17:
Generating Numeric Sequences / 17.1:
Generating Factors / 17.2:
Generating Repetitious Patterns (not factors) / 17.3:
Generating Integer Measures / 17.4:
Generating Continuous Measures / 17.5:
Generating a Data Frame / 17.6:
How R Stores Data / 18:
Managing Your Files and Workspace / 19:
Loading and Listing Objects / 19.1:
Understanding Your Search Path / 19.2:
Attaching Data Frames / 19.3:
Attaching Files / 19.4:
Removing Objects from Your Workspace / 19.5:
Minimizing Your Workspace / 19.6:
Setting Your Working Directory / 19.7:
Saving Your Workspace / 19.8:
Saving Your Programs and Output / 19.9:
Saving Your History (Journal) / 19.10:
Graphics Overview / 20:
SAS/GRAPH / 20.1:
SPSS Graphics / 20.2:
R Graphics / 20.3:
The Grammar of Graphics / 20.4:
Other Graphics Packages / 20.5:
Graphics Procedures Versus Graphics Systems / 20.6:
Graphics Devices / 20.7:
Practice Data: Mydata100 / 20.8:
Traditional Graphics / 21:
Barplots / 21.1:
Barplots of Counts / 21.1.1:
Barplots for Subgroups of Counts / 21.1.2:
Barplots of Means / 21.1.3:
Adding Titles, Labels, Colors, and Legends / 21.2:
Graphics Parameters and Multiple Plots on a Page / 21.3:
Pie Charts / 21.4:
Dotcharts / 21.5:
Histograms / 21.6:
Basic Histograms / 21.6.1:
Histograms Overlaid / 21.6.2:
Normal QQ Plots / 21.7:
Strip Charts / 21.8:
Scatterplots / 21.9:
Scatterplots with Jitter / 21.9.1:
Scatterplots with Large Datasets / 21.9.2:
Scatterplots with Lines / 21.9.3:
Scatterplots with Linear Fit by Group / 21.9.4:
Scatterplots by Group or Level (Coplots) / 21.9.5:
Scatterplots with Confidence Ellipse / 21.9.6:
Scatterplots with Confidence and Prediction Intervals / 21.9.7:
Plotting Labels Instead of Points / 21.9.8:
Scatterplot Matrices / 21.9.9:
Dual Axes Plots / 21.10:
Boxplots / 21.11:
Error Bar and Interaction Plots / 21.12:
Adding Equations and Symbols to Graphs / 21.13:
Summary of Graphics Elements and Parameters / 21.14:
Plot Demonstrating Many Modifications / 21.15:
Example Traditional Graphics Programs / 21.16:
Graphics with ggplot2 (GPL) / 22:
Overview qplot and ggplot / 22.1:
Bar Charts / 22.2:
Bar Charts with Subgroups / 22.3:
Plots by Group or Level / 22.5:
Pre-summarized Data / 22.6:
Adding Titles and Labels / 22.7:
Strip Plots / 22.9:
Scatterplots with Fit Lines / 22.12:
Scatterplots with Reference Lines / 22.15:
Changing Plot Symbols by Group / 22.16:
Adding Linear Fits by Group / 22.18:
Scatterplots Faceted by Groups / 22.19:
Scatterplot Matrix / 22.20:
Error Barplots / 22.21:
Logarithmic Axes / 22.23:
Aspect Ratio / 22.24:
Multiple Plots on a Page / 22.25:
Saving ggplot2 Graphs to a File / 22.26:
An Example Specifying All Defaults / 22.27:
Summary of Graphic Elements and Parameters / 22.28:
Statistics / 23:
Scientific Notation / 23.1:
Descriptive Statistics / 23.2:
Cross-Tabulation / 23.3:
Correlation / 23.4:
Linear Regression / 23.5:
Plotting Diagnostics / 23.5.1:
Comparing Models / 23.5.2:
Making Predictions with New Data / 23.5.3:
t-Test - Independent Groups / 23.6:
Equality of Variance / 23.7:
t-Test - Paired or Repeated Measures / 23.8:
Wilcoxon Mann-Whitney Rank Sum Test - Independent Groups / 23.9:
Wilcoxon Signed-Rank Test - Paired Groups / 23.10:
Analysis of Variance / 23.11:
Sums of Squares / 23.12:
Kruskal-Wallis Test / 23.13:
Conclusion / 24:
A Glossary of R Jargon / Appendix A:
A Comparison of SAS and SPSS Products with R Packages and Functions / Appendix B:
Automating Your Settings / Appendix C:
A comparison of the major attributes of SAS and SPSS to R / Appendix D:
Bibliography
Index
Introduction / 1:
Why Learn R? / 1.1:
Is R Accurate? / 1.2:
4.

図書

図書
エリノア・ラティモア著 ; 原もと子訳
出版情報: 東京 : 平凡社, 1979.7  viii, 310p, 図版 [2] p ; 18cm
シリーズ名: 東洋文庫 ; 358
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5.

図書

図書
市田浩三, 吉本富士市共著
出版情報: 東京 : 教育出版, 1979.6  v, 220p ; 22cm
シリーズ名: シリーズ新しい応用の数学 / 一松信, 伊理正夫, 竹内啓編 ; 20
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6.

図書

図書
William M. Newman, Robert F. Sproull
出版情報: New York ; Tokyo : McGraw-Hill, c1979  xvi, 541 p., [1] leaf of plates ; 24 cm
シリーズ名: McGraw-Hill computer science series
McGraw-Hill series in artificial intelligence
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7.

図書

図書
Pierre-Gilles de Gennes
出版情報: Ithaca, N.Y. : Cornell University Press, 1979  324 p. ; 24 cm
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8.

図書

図書
edited by Madan M. Gupta, associate editors, Rammohan K. Ragade, Ronald R. Yager
出版情報: Amsterdam ; New York : North-Holland Pub. Co. , New York : sole distributors for the USA and Canada, Elsevier North-Holland, 1979  xv, 753 p. ; 23 cm
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