Man pages for tjssu/Rstat
Basic Statistical Methods in R
| anova1 | One-way analysis of variance |
| anova2 | Two-way analysis of variance |
| bayes.plot | Prior and Posterior Probabilities |
| bntest2.plot | Three Types of Binomial Tests |
| bntest.plot | Exact Binomial Test |
| cards2 | Sample Space of Sampling Cards |
| ch10.man | Manual for Ch10. Functions |
| ch11.man | Manual for Ch11. Functions |
| ch12.man | Manual for Ch12. Functions |
| ch13.man | Manual for Ch13. Functions |
| ch14.man | Manual for Ch14. Functions |
| ch15.man | Manual for Ch15. Functions |
| ch2.man | Chapter 2 Functions Manual |
| ch3.man | Ch3. Probability |
| ch4.man | Manual for Ch4. Functions |
| ch5.man | Manual for Ch5 |
| ch6.man | Manual for Ch.6 |
| ch7.man | Manual for Ch.7 Functions |
| ch8.man | Manual for Ch.8 |
| ch9.man | Manual for Ch9. Functions |
| chi.gof1 | Goodness of Fit Test from a Table |
| chi.gof2 | Goodness of Fit Test for Poisson/Binomial |
| chi.prob | Cumulative Probability of the Chi-square Distribution |
| chi.quant | Quantile Plot of the Chi-square Distribution |
| chi.sim | Simulation for the chi-square Distribution |
| chitest.plot | Plot the Chi-square Test |
| chitest.plot2 | Plot the Chi-square Test |
| cimean.sim | Simulate the Confidence Interval for a Mean |
| ciprob.sim | Simulate the Confidence Interval for a Proportion |
| civar2.sim | Simulate the Confidence Interval for a the Ratio of Variances |
| civar.sim | Simulate the Confidence Interval for a Variance |
| clt.plot | Diagnose the Central Limit Theorem |
| cont.cdf | CDF of a Continuous Random Variable |
| cont.cond2 | Conditional PDF Plot of Two Continuous Random Variables |
| cont.exp | Expected Values of Continuous Random Variables |
| cont.ind2 | Independence of Two Continuous Random Variables |
| cont.jcdf | Joint CDF of Two Continuous Random Variables |
| cont.jcdfp | Joint CDF Plot of Two Continuous Random Variables |
| cont.jexp | Expected Value of Two Continuous Random Variables |
| cont.marg2 | Marginal PDF Plot of Two Continuous Random Variables |
| cont.mpdf | PDF and CDF for Continuous Random Variables |
| cont.spdf | Plot PDF of Continuous Random Variables |
| cont.trans | Transformed PDF of a Continuous Random Variable |
| corr.mplot | Multiple Scatter Plots |
| corr.mreg | Multiple Regression Analysis |
| corr.plot | Correlation Coefficients and Scatter Plots |
| corr.plot6 | Six Scatter Plots |
| corr.reg1 | Correlation & Simple Regression Analysis |
| corr.spear | Pearson & Spearman Correlation Coefficient |
| cprt | Conditional Probability |
| cross.test | Test of a Cross Table |
| disc.cdf | CDF of a Discrete Random Variable |
| disc.cond2 | Conditional PDF of Discrete Random Variables |
| disc.exp | Expected Value of a Discrete Random Variable |
| disc.ind2 | Independence of Two Discrete Random Variables |
| disc.jexp | Expected Values of Two Discrete Random Variables |
| disc.joint2 | Joint PDF of Two Discrete Random variable |
| disc.marg2 | Marginal PDF of Two Discrete Random variables |
| disc.mexp | Expected Values of Discrete Random Variables |
| element | Elements of an Event |
| fdist.sim | Simulation of the F-distribution |
| fdist.sim2 | Simulation for the F-distribution |
| f.prob | Cumulative Probability of the F-distribution |
| f.quant | Quantile Plot of the F-distribution |
| freq.table | Frequency Table |
| friedman.plot | Friedman Test |
| ftest.plot | Plot the PDF of the F-test Statistic |
| hyp.sample | PDF of Successes from Finite Population |
| indep.event | Independence of Random Variables |
| intersect2 | Intersection of Events |
| kruswall.plot | Kruskal Wallis Test |
| location.est | Estimation of Location |
| mean2.ci | CI for the Difference of Two Means |
| mean2test.plot | Hypothesis Test for the Difference of Two Means |
| meanchar.plot | Operating Characteristic Curves of the Test for a Mean |
| meanpower.plot | Power Function of the Test for a Mean |
| meantest1.plot | Hypothesis Test for a Mean (known variance) |
| meantest2.plot | Hypothesis Test for a Mean (unknown variance) |
| mosaic2 | Mosaic Plot |
| multinorm.plot | Multinomial PDF Plot |
| norm.diag | Diagnosis of Normality |
| norm.sim | Simulation for the Normal Distribution |
| norm.spn | Minimum Number of Samples |
| normtest.plot | Plot the PDF of Test Statistic under the Normal Distribution |
| norm.trans | Standardization of the Normal Distribution |
| pmean.ci | Confidence Interval for a Mean (known variance) |
| pmean.ci2 | Confidence Interval for the Mean (unknown variance) |
| pprt | Probability of an Event |
| prob2.ci | Confidence Interval for the Difference of Proportions |
| prob2test.plot | Test for the Difference of Proportions (Large Sample) |
| prob.ci | Confidence Interval for a Population Proportion |
| ranksum.dist | Distribution of Wilcoxon Rank Sum |
| ranksum.plot | Wilcoxon Rank Sum Test |
| rolldie2 | Sample Space of Rolling Dice |
| rolldie.sum | PDF of the Sum of n Dice |
| runs.dist | Distribution of Runs |
| runstest.plot | Runs Test |
| scat.lm | Scatter Plot with a Regression Line |
| setdiff2 | Set Difference of Events |
| signrank.dist | Distribution of Wilcoxon Signed Rank |
| signrank.plot | Wilcoxon Signed Rank Test |
| signtest.plot | Sign Test (Binomial Test) |
| snorm.cdf | Plot Standard Normal Cumulative Probability |
| snorm.prob | Central Probability of the Standard Normal Distribution |
| snorm.quant | Quantile Plot of the Standard Normal Distribution |
| spread.est | Spread Estimation |
| strat.hist | Stratified Histograms |
| tdist.sim | Simulation for the t-distribution |
| tnorm.comp | Compare T-Dist. with the Standard Normal |
| tosscoin2 | Sample Space of Tossing Coins |
| ttest.plot | Plot the PDF of Test Statistic with the T-distribution |
| union2 | Union of Events |
| unstable.hist | Unstable Histograms |
| urnsample2 | Sample Space of Urn Sampling |
| var1.ci | Confidence Interval for a Variance |
| var1.test | Hypothesis Test for a Variance |
| var2.ci | CI for the Ratio of Two Population Variances |
| var2.test | Hypothesis Test on Two Population Variances |
