Site map
R Tutorials
A collection of R tutorials including: R Introduction, Elementary Statistics with R.
Statistical Concepts
A list of statistical concepts discussed in the R tutorials.
- analysis of variance (4)
- ANOVA (4)
- bar graph (1)
- Bayesian classification (1)
- Bayesian regression (1)
- Bayesian statistics (3)
- beta distribution (1)
- binomial distribution (2)
- binomial family (1)
- box plot (1)
- categorical data (2)
- Central Limit Theorem (4)
- central moment (3)
- Chi-squared distribution (3)
- classification (1)
- cluster analysis (1)
- coefficient of determination (3)
- complete linkage (1)
- concordant (2)
- confidence interval (2)
- confidence level (5)
- contingency table (1)
- continuous data (1)
- continuous uniform distribution (1)
- correlation coefficient (3)
- covariance (2)
- cumulative frequency distribution (2)
- cumulative frequency graph (1)
- cumulative relative frequency distribution (2)
- cumulative relative frequency graph (1)
- deep learning (1)
- dendrogram (1)
- discordant (2)
- dissimilarity (1)
- distance matrix (2)
- error term (9)
- estimated regression equation (2)
- experimental design (4)
- exponential distribution (1)
- F distribution (1)
- fitted value (6)
- frequency distribution (5)
- gaussian process (1)
- generalized linear model (1)
- GLM (1)
- goodness of fit (2)
- GPU computing (2)
- hierarchical clustering (1)
- hierarchical linear model (1)
- histogram (1)
- hypothesis testing (18)
- independent samples (1)
- independent variables (1)
- interquartile range (1)
- interval estimate (5)
- kandall rank coefficient (2)
- Kruskal-Wallis test (1)
- kurtosis (1)
- leptokurtic (1)
- linear regression (17)
- logistic regression (3)
- lower tail test (2)
- Mann-Whitney-Wilcoxon test (1)
- margin of error (5)
- Markov Chain Monte Carlo (3)
- matched samples (1)
- MCMC (3)
- mean (4)
- median (1)
- mesokurtic (1)
- multinomial population (1)
- non-parametric (7)
- normal distribution (14)
- normal probability plot (1)
- ogive (1)
- p-value (11)
- paired t-test (1)
- percentile (1)
- pie chart (1)
- platykurtic (1)
- point estimate (2)
- Poisson distribution (1)
- population mean (16)
- population proportion (6)
- power (7)
- prediction interval (2)
- probability distribution (9)
- qualitative data (6)
- quantitative data (10)
- quartile (1)
- range (1)
- regression (2)
- relative frequency distribution (2)
- residual (3)
- sampling size (2)
- scatter plot (1)
- sign test (1)
- significance level (1)
- significance test (3)
- skewness (1)
- standard deviation (2)
- standard normal distribution (1)
- standardized residual (2)
- stem-and-leaf plot (1)
- Student t distribution (8)
- support vector machine (2)
- svm (2)
- t-test (2)
- tau-b (1)
- tied rank (1)
- two-tailed test (2)
- type I error (1)
- type II error (7)
- uncorrelated (1)
- unimodal distribution (1)
- unpaired t-test (1)
- upper tail test (2)
- variance (15)
- Wilcoxon signed-rank test (1)
R Functions
A list of R functions discussed in the R tutorials.
- abline (3)
- acfplot (1)
- aov (3)
- apropos (1)
- as.character (1)
- as.complex (1)
- as.integer (1)
- as.matrix (4)
- as.numeric (1)
- attach (5)
- barplot (1)
- binom.test (1)
- boxplot (1)
- bugs (1)
- c (19)
- cbind (5)
- cbind (7)
- chisq.test (2)
- class (5)
- coefficients (1)
- cor (3)
- cor.test (1)
- cov (1)
- cumsum (3)
- cut (6)
- data.frame (6)
- dbinom (1)
- densityplot (1)
- detach (5)
- df (1)
- diff (2)
- dimnames (1)
- dist (2)
- dpois (1)
- dunif (1)
- ecdf (1)
- exp (1)
- exprs (1)
- factor (3)
- file.path (1)
- gelman.diag (1)
- gelman.plot (1)
- gl (3)
- glm (2)
- gpuDist (1)
- hclust (1)
- head (6)
- help (1)
- hist (1)
- install.packages (1)
- IQR (1)
- is.integer (2)
- kruskal.test (1)
- kurtosis (1)
- length (8)
- levels (2)
- library (18)
- lines (1)
- list (3)
- lm (15)
- log (1)
- matrix (5)
- max (1)
- mean (6)
- median (1)
- min (1)
- moment (1)
- na.omit (5)
- names (1)
- ncol (1)
- nrow (4)
- options (4)
- paste (1)
- pie (1)
- plot (7)
- pnorm (9)
- points (1)
- predict (10)
- prop.test (5)
- pt (6)
- qchisq (1)
- qexp (1)
- qnorm (14)
- qqline (1)
- qqnorm (1)
- qt (8)
- quantile (2)
- range (1)
- rbind (2)
- read.bugs (1)
- read.csv (2)
- read.csv2 (1)
- read.mtp (1)
- read.spss (1)
- read.svm.data (2)
- read.table (3)
- read.xls (1)
- resid (1)
- rhierLinearModel (1)
- rnorm (3)
- rpucor (2)
- rpucor.test (1)
- rpuDist (2)
- rpudl (1)
- rpudlCreateDataSource (1)
- rpudlFindTrainingDataMean (1)
- rpudlGetLayerWeights (1)
- rpudlGetTestingDataSample (1)
- rpudlPlotLayerWeights (1)
- rpuGetDevice (1)
- rpuHclust (1)
- rpusvm (2)
- rstandard (2)
- rvbm (1)
- sample (1)
- sd (2)
- seq (7)
- set.seed (3)
- skewness (1)
- sqrt (19)
- stem (1)
- str (1)
- sub (1)
- substr (1)
- sum (4)
- summary (10)
- svm (2)
- t (4)
- t.test (3)
- table (14)
- tapply (1)
- var (1)
- vbmp (1)
- wilcox.test (2)
- xyplot (1)
- z.test (1)
R Extension Packages
A list of R add-on packages discussed in the R tutorials.
- bayesm (1)
- Biobase (1)
- coda (2)
- cudaBayesreg (1)
- e1071 (4)
- foreign (1)
- gdata (1)
- MASS (18)
- R2OpenBUGS (1)
- rpud (11)
- TeachingDemos (1)
- vbmp (1)
R Data Sets
A list of R data sets discussed in the R tutorials.
- airquality (1)
- BRCA12 (1)
- cheese (1)
- faithful (31)
- immer (2)
- mtcars (11)
- painters (6)
- quine (1)
- rvbm.sample.test (1)
- rvbm.sample.train (1)
- stackloss (6)
- survey (13)
- ToothGrowth (1)
- USJudgeRatings (1)
