Index

## Index

 .First, 19 .Last, 19 .RProfile, 19, 19 :, 2.5 <-, ??, 2.2 =, ??, 2.2 ?, 3.9 #, 2.5 ANOVA, 15 abline, 4.7, 4.7, 4.11, 4, 4, 4, 13.1, 13.7 analysis of variance, 15 anova, 14.1, 15.2 apply, 4.2 apropos(), 3.9 as.factor, 3.3, 8.2 attach, 4.6, 5.2 barplot, 3.4, 3.4, 4.2, 5.5 boxplot, 5.4, 5.5, 8.2 bwplot, 5.6 CLT, 9.3, 9.4 c, 2.2, 2.2, 2.5, 21.1, 21.1, 21.2 cbind, 5.5 chi-squared distribution, 12.1 chisq.test, 12.4 coef, 4.7, 13.1, 13.7 coefficients, 13.7 col, 3.5 cor, 4.9 cor(), 4.9 covariance, 4.9 cummax, 2.5 curve, 4, 4, 4, 4, 4, 6.1, 20.1 cut, 3.9, 14.1 cut(), 3.9 data, 3.11 data frame, 21.5, 21.5 data frames, 5.1 data(), 4.6 data.entry, 21.4 data.entry(), 1 data.frame, 5.1 density, 3.13, 4.5, 5.5 diff, 1 dump, 22 dunif, 6.1 Example A difference in distributions?, 12.4 A function to sum normal numbers, 7.4 Boxplot of samples of random data, 5.5 CEO salaries, 3.7, 8.2 CLT with exponential data, 7.4 CLT with normal data, 7.2 Dilemma of two graders, 11.5 GDP vs. CO2 emissions, 5.5 Home data, 4.6 Homedata, 8.2 Is the die fair?, 12.2 Keeping track of a stock; adding to the data, 2.5 Letter distributions, 12.2 Linear Regression with R, 13.1 Making numeric data categorical, 3.9 Max heart rate (cont.), 13.5, 13.6, 13.7 Movie sales, reading in a dataset, 3.11 Multiple linear regression with known answer, 14.1 Presidential Elections: Florida, 4.10 Quadratic regression, 14.1 Recovery time for new drug, 11.3 Sale prices of homes, 14.1 Scholarship Grading, 15.1 Seeing both the histogram and boxplot, 3.11 Smoking survey, 3.2 Symmetric or skewed, Long or short?, 8.2 Taxi out times, 11.6 Taxi time at EWR, 8.2 Tooth growth, 5.5 Two surveys, 11.1 Working with mathematics, 2.5 Extra prop.test is more accurate, 9.2 Comparing p-values from t and z, 9.4 Conditional proportions, 4.2 Confidence interval isn't always right, 9.1 Easier plotting, 14.1 Mean sum of squares, 15.2 Rank tests, 10 The difference between fivenum and the quantiles., 3.7 Using simple.lm to predict, 4.10 Using aov, 15.2 Why the cs?, 12.2 edit, 21.4 exp, 12.4 explanatory variable, 14 extraction by a logical vector, 2.5 factor, 3.3, 3.9, 14.1 fitted.values, 13.7 fivenum, 3.7, 3.7, 7.4 fivenum(), 3.7 fix, 21.4 for, 7.2, 7.2, 8.2 ftable, 5.5, 4 function, 7.4, 20.1 gray, 3.5 grid, 5.6 help, 3.9 help(Startup), 19 hist, 5.6 histogram, 5.6 I, 5.4, 14.1 IQR, 3.8 i.i.d., 9.1, 9.1, 12.1 identify, 4.10, 4.10, 1 jitter, 4.5 lattice, 5.6, 14.1 layout, 5.5 legend, 4.12 legend.text, 4.2 level, 5.5 library, 3.11 lines, 3.13, 4, 4 lm, 4.12, 5.4, 5.6, 13.1, 13.1, 13.7, 14.1 load, 22 locator, 4.10 lqs, 4.12, 4.12, 4.12 lty, 4.12 Multiple linear regression, 14 mad, 3.8 matplot, 9.1 max, 1, 6.1 mean, 2.4, 1, 3.7, 3.8, 9, 9, 9.1, 20.1 mean sum of squares, 15.2 mean(), 3.8 median, 2.4, 3.7 min, 1, 6.1 model formula notation, 4.12, 5.4, 5.5, 15.1, 18.2 model formula syntax, 14.1 model syntax, 4.3 names, 3.5, 5.1 oneway.test, 15.1, 15.2 outer, 6.2 Pearson correlation coefficient, 4.9 pairs, 5.5 panel.abline, 5.6 panel.xyplot, 5.6, 5.6 paste, 6.2, 20.1, 22 pch, 5.5, 5.5 pie, 3.5, 3.5 piechart, 3.5 plot, 4, 4, 4, 4, 4, 4, 5.5, 13.1, 13.1, 13.2 pnorm, 6.5, 9.1 points, 4, 4, 5.5 predict, 4.10, 13.1, 13.7, 13.7, 13.7 prompt, 2.1 prop.table, 4.1 prop.test, 9, 9.2, 9.2, 9.2, 9.5, 10.1, 11.1 qnorm, 9.1 qqline, 7.3 qqnorm, 7.3, 9.4 qqplot, 7.3 quantile, 3.7 R, 2.1 RBasics help, ? and apropos, 3.9 Accessing Data, 2.5 Graphical Data Entry Interfaces, 2.5 Plotting graphs using R, 4 Reading in datasets with library and data, 3.11 Syntax for for, 7.2 The low-level R commands, 13.7 What does attaching do?, 4.6 rainbow, 3.5 read.csv, 21.7 read.fwf, 21.6 read.mtp, 21.9 read.table, 1, 21.5, 21.8 really.convenient.function, 22 rep, 6.2 resid, 4.8, 13.1, 13.7 residual, 14.1 residuals, 14.1 rlm, 4.12, 4.12, 4.12, 4.12, 4.12 rnorm, 5.5 row.names, 5.1 rug, 3.10, 4.5, 5.5 Spearman rank correlation, 4.9 System.sleep, 6 sample, 6.2, 6.2, 12.4 sapply, 14.1 save.image(), 22 scale, 4.5, 6.5, 6.5 scan, 3.4, 21.2, 21.2, 21.3, 21.3, 21.3 scan(), 3.4 scatterplot, 4.6 sd, 3.7 sd(), 2.5 seq(), 2.5 simple.densityplot, 5.5 simple.eda, 8.1, 8.2 simple.lm, 4.7, 4.8, 4.12, 13.1, 13.7 simple.sim, 7.4, 7.4 simple.violinplot, 4.5, 5.5 slicing, 2.5 source, 22 stack, 5.3, 15.1 standard deviation, 2.5, 9 stem(), 3.9 stripchart, 5.5 subset, 11.6 sum of squares, 15.2 summary, 3.7, 3.7, 3.7, 13.1, 13.1, 13.7, 14.1 t(), 4.2 t.test, 9, 9.5, 10.2, 11.5 table, 3.2, 3.2, 3.2, 3.4, 3.9, 4.1, 4.1, 5.5, 5.5, 5.5 trellis.device, 5.6 trimmed mean, 3.8 ts, 3.11 typos, 2.2, 2.2, 2.5 unbiased estimator, 13.5 unstack, 5.3, 5.3 url, 21.8 var, 2.4, 3.7 variance, 2.5, 9.1 vector, 2.2, 2.5, 2.5 which, 2.5, 2.5 wilcox.test, 9, 9.5, 10.3, 10, 11.6, 11.6 x, 13.7 xtabs, 5.5 xyplot, 5.6, 5.6

Copyright © John Verzani, 2001-2. All rights reserved.