[SYMBOL][A][B][C][D][E][F][G][H][I][J][K][L][M][N][O][P][Q][R][S][T][U][V][W][X][Y]
! operator
!= operator
# symbol
%a symbol
%A symbol
%B symbol
%b symbol
%d symbol
%m symbol
%Y symbol
%y symbol
* operator, 2nd
** operator
... option, 2nd
. symbol
/ operator
: symbol
? function
?? function
Λ operator, 2nd, 3rd
~ symbol
+ operator, 2nd
< operator
<<- operator
<= operator
== operator
> operator
>= operator
-1 symbol
brackets
3D pie charts
3D scatter plots
abline( ) function, 2nd
abs( ) function
absolute widths
acos( ) function
acosh( ) function
AER package
aggr( ) function, VIM package
aggregate( ) function, 2nd
aggregating data
AIC( ) function, 2nd
all subsets regression, 2nd
alpha option
alternative= option
Amelia package, 2nd, 3rd
analyses, excluding missing values from
analysis of variance (ANOVA), 18th
fitting models
aov( ) function
order of formula terms
MANOVA
assessing test assumptions
robust
one-way
assessing test assumptions
multiple comparisons
one-way ANCOVA
assessing test assumptions
visualizing results
as regression
repeated measures
terminology of
two-way factorial
analytic packages, for large datasets
ANCOVA.
See analysis of covariance.
ancova( ) function, HH package
AND operator
annotating datasets
annotations
ANOVA.
See analysis of variance.
anova( ) function, 2nd
Anova( ) function, car package, 2nd
aov( ) function
append option
apply( ) function
apropos( ) function
aq.plot( ) function, mvoutlier package
arithmetic operators
arrayImpute package, 2nd
arrayMissPattern package, 2nd
arrays
Arthritis dataset
as.character( ) function
ASCII file
as.datatype( )function
as.Date( ) function, 2nd
asin( ) function
asinh( ) function
aspect option
asypow package
at option
atan( ) function
atanh( ) function
attach( ) function, 2nd, 3rd
auto.key option
avPlots( ) function, 2nd
axes, 2nd
axes option
axis( ) function
background color (bg) option
backslash character, 2nd
bar plots
fitting labels in
for mean values
simple
spinograms
stacked and grouped
tweaking
barplot( ) function, 2nd
base package
batch processing
Beta distribution
bg option.
See background color option.
bg parameter
biganalytics package
biglars package
bigmemory package
bigtabulate package
Binomial distribution
bitro.diameter variable
bivariate relationships
block comments
bmp( ) function
boot package
bootstrap package
bootstrapping, 2nd
box plots
parallel, comparing groups with
violin variation of
box type (bty) option
boxplot( ) function, 2nd
boxplots option
boxplot.stats( ) function
boxTidwell( ) function
Box-Tidwell transformations
breaks option
Brobdingnag package
bty option.
See box type option.
bubble plots
by function
by option
byrow option
bzfile( ) function
c( ) function, 2nd, 3rd
ca package
car package, 2nd, 3rd, 4th, 5th
case identifiers, 2nd
case-wise deletion
cast( ) function
casting, 2nd
cat( ) function, 2nd
cat package, 2nd
categorical variables
Cauchy distribution
cbind( ) function, 2nd, 3rd, 4th
ceiling( ) function
cex ( ) option
cex parameter, 2nd
cex.axis parameter
cex.lab parameter
cex.main parameter
cex.names option
cex.sub parameter
CFA.
See confirmatory factor analysis.
character functions
character variables, converting date values to
Chi-square tests
Chi-squared (noncentral) distribution
class( ) function
cld( ) function
CLI.
See command-line interface.
close( ) function
cm.colors( ) function
cmdscale( ) function
code editors, list of
coefficients( ) function
coin package
col option, 2nd, 3rd, 4th, 5th, 6th, 7th
col.axis parameter
colClasses option, 2nd
col.corrgram( ) function
colfill vector
col.lab parameter
col.main parameter
color option, 2nd
colorRampPalett( ) function
colors, graphical parameters
colors( ) function
col.sub parameter
combine objects.
See c( ) function.
combining graphs.
See page arrangement of graphs.
command prompt
command-line interface (CLI)
command-line options
command-line prompt
comments, # symbol, 2nd
common factors
comparisons, multiple
complete( ) function
complete-case analysis
complete.cases( ) function, 2nd
comprehensive GUIs, for R
Comprehensive R Archive Network (CRAN), 2nd
conditional execution
if-else construct
ifelse construct
repetition and looping
switch construct
conditioning variables, 2nd
confint( ) function, 2nd
confirmatory factor analysis (CFA)
constant residual variance
contrasts( ) function
contr.helmert function
control flow
contr.poly function
contr.SAS function
contr.sum function
contr.treatment function
conversions, type
Cook's distance, 2nd, 3rd, 4th
cooks.distance( ) function
cor( ) function
corrective measures
deleting observations
variables
adding or deleting
transforming
correlograms, 2nd
corrgram( ) function, corrgram package
corrgram package, 2nd
corrperm package
cos( ) function
cosh( ) function
cov( ) function
cov2cor( ) function
Cox proportional hazards regression
cpairs( ) function
CRAN.
See Comprehensive R Archive Network.
crimedat dataframe
cross-tabulations
crossval( ) function
cross-validation, 2nd
crPlots( ) function, 2nd
curly braces
cut( ) function, 2nd, 3rd
D plots, Cook.
See Cook's distance.
D values, Cook.
See Cook's distance.
data( ) function
data frames, 2nd
applying functions to
attach( ), detach( ), and with( ) functions
case identifiers
using SQL statements to manipulate
data option, 2nd, 3rd, 4th, 5th, 6th, 7th, 8th, 9th, 10th, 11th
data storage, outside of RAM
data structures
arrays
data frames
attach( ), detach( ), and with( ) functions
case identifiers
factors
lists
matrices
vectors
data type, converting from one to another
database interface (DBI) related packages
database management systems (DBMSs), accessing
DBI-related packages
ODBC interface
data.frame( ) function
date( )function
date values
DBI related packages.
See database interface related packages.
DBMSs, accessing.
See database management systems, accessing.
deleting old versions of R
deletion, pairwise
demo( ) function
density( ) function
densityplot( ) function
dependent variable
detach( ) function, 2nd
dev.new( ) function
dev.next( ) function
dev.off( ) function, 2nd
dev.prev( ) function
dev.set( ) function
diagnostics, regression
enhanced approach
global validation of linear model assumption
multicollinearity
typical approach
diag.panel option
diff( ) function
difftime( )function
dim( ) function
dimensions
of an array
of graphs and margins
dimnames
dir.create( ) function
directory initialization file
distribution functions, normal
dmat.color( ) function, gclus package
doBy package
dollar sign character
dot plots, 2nd
dotchart( ) function
Durbin-Watson test
durbinWatsonTest( ) function, 2nd
echo option
edit( ) function
EFA.
See exploratory factor analysis.
effect( ) function, 2nd
defined for ANOVA
defined for chi-square tests
defined for correlation
defined for linear models, 2nd
defined for test of proportions
defined for t-test
effect size
effect size benchmarks
effects library
effects package, 2nd, 3rd
environment, customizing startup
environment variables
errors, independence of
escape character, 2nd
ES.w2( ) function
eval option
example( ) function
example.Rnw file
Excel, Microsoft
accessing files with RODBC
exporting data to spreadsheet
importing data from
excluding
missing values from analyses
observations
variables
exp( ) function
exploratory factor analysis (EFA), 2nd
deciding number of common factors to extract
FactoMineR package
factors
extracting common
rotating
scores
FAiR package
GPArotation package
nFactors package
other latent variable models
exponential distribution, 2nd
exponentiation operator
exporting data
delimited text file
Excel spreadsheet
for statistical applications
expression( ) function
expression statement
F distribution
fa( ) function, 2nd, 3rd
facets, ggplot2 package
facets option
factanal( ) function
FactoMineR package, 2nd
factor( ) function, 2nd
factor intercorrelation matrix
factor pattern matrix
factor structure matrix
factorial ANOVA design
factor.plot( ) function, 2nd
fa.diagram( ) function, 2nd
FAiR package, 2nd
family parameter
fan plots
fan.plot( ) function
fa.parallel( ) function, 2nd, 3rd
fCalendar package, 2nd
ff package
fg parameter
fgui package
fig graphical parameter
fig option, in Sweave
figures, creating with fine control
file( ) function
filehash package
fill option
fine control, creating figure arrangements with
First( ) function
fit lines
fitted( ) function
fitting ANOVA models
aov( ) function
order of formula terms
fitting regression models, with lm( ) function
fix( ) function, 2nd, 3rd
FlexMix package
floor( ) function
fmi, fraction of missing information
font families
changing
examples on Windows platform
font parameter
font.axis parameter
font.lab parameter
font.main parameter
font.sub parameter
for loop
foreign package, 2nd, 3rd
format( ) function
formulas, in R, 2nd
frame.plot option
freq option
frequency tables
Friedman test
Gamma distribution
gap package
gclus package, 2nd, 3rd
gcolor option
generalizability
genome-wide association studies (GWAS)
geom option
geometric distribution
geostatistical data
getwd( ) function, 2nd
GGobi program
ggplot2 package, 2nd
Gibbs sampling
glht( ) function, multcomp package
glm( ) function
glmPerm package
global validation, of linear model assumption
gls( ) function, nlme package
gmodels package
GPArotation package
gplots package, 2nd, 3rd, 4th
graph dimensions, 2nd
graphic output
graphic user interfaces (GUIs), 2nd
IDEs for
for R
graphical parameters
colors
graph and margin dimensions
reference lines
symbols and lines
text characteristics
graphics
four systems of
ggplot2 package
interactive graphs
identifying points
iplots package
latticist package
playwith package
rggobi package
lattice package
graphic parameters
page arrangement
panel functions
variables, 2nd
parameters
gray( ) function
grep( ) function, 2nd
grid function
grid package, 2nd
grouped bar plots
grouping variables
groups option dot plots
lattice package, 2nd
gsub( ) function
GUIs.
See graphic user interfaces gvlma( ) function.
gvlma package, 2nd, 3rd
GWAS.
See genome-wide association studies gzfile( ) function.
hat statistic
HDF5 files.
See Hierarchical Data Format files.
hdf5 package, 2nd
head( ) function
header value
heat.colors( )function
height variable
height vector
heights option
help ( ) or ? function
help facilities, 2nd
help.search( ) or ?? function
help.start( ) function
hexbin( ) function
hexbin package, 2nd
HH package, 2nd, 3rd
Hierarchical Data Format (HDF5) files
high-density scatter plots
high-leverage observations
hist( ) command
hist( ) function
histograms
of bootstrapped statistics
in ggplot2 plots
in iplots
in lattice plots, 2nd
in scatterplot matrices
of studentized residuals
history( ) function
Hmisc package, 2nd, 3rd, 4th
horiz option
hsv( ) function
hypergeometric distribution
hypothesis testing
I( ) operator, 2nd
ibar( ) function
ibox( ) function
identify( ) function
id.method option, 2nd
IDPmisc package
if-else construct
ifelse construct
if-else control structure
ihist( ) function
imap( ) function
imosaic( ) function
imputation
multiple
simple
incomplete data.
See missing data.
independence, of errors, 2nd, 3rd
index.cond option
indices in R
infile
influencePlot( ) function, 2nd
influential observations, 2nd, 3rd
input, 2nd
installations, updating
installed.packages( ) function, 2nd, 3rd
install.packages( ) function, 2nd, 3rd
integrated development environments (IDEs)
interaction2wt( ) function, HH package
interaction.plot( ) function, 2nd
interactions, multiple linear regression with
interactive graphs
identifying points
iplots package
latticist package
playwith package
rggobi package
intermediate graphs
bubble plots
correlograms
line charts
mosaic plots
scatter plots
3D
high-density
matrices
ipairs( ) function, IDPmisc package
ipcp( ) function
iplot( ) function, 2nd
iplots package, 2nd
is.datatype( ) function
is.infinite( ) function
is.na( ) function, 2nd
is.nan( ) function
isoMDS( ) function
isTRUE( ) operator
JGR/Deducer GUI
jpeg( ) function
kernel density estimation
kernel density plots, 2nd
key (or auto.key) option
keyboards, entering data from
k-fold cross-validation
kmi package, 2nd
Kruskal-Wallis test
labels, fitting in bar plots
labels option, 2nd, 3rd
lapply( ) function
las option
Last( ) function
latent variable models, 2nd
LaTeX documents, R code + (Sweave package)
lattice package, 2nd, 4th, 11th
graphic parameters
graphs types
page arrangement
panel functions
variables
conditioning
grouping
latticist package, 2nd
lavaan package, 2nd
layout( ) function
layout option
lcda package, 2nd
lcm( ) function
lcmm package
leadership data frame
leaps package, 2nd
legend( ) function, 2nd
legend option
legend.plot option
legends
in bar plots
in kernel density plots
in lattice plots
in line plots
in mosaic plots
in scatter plots, 2nd
legend.text parameter
length( ) function, 2nd, 3rd, 4th
level option, cld( ) function
leverage value, of observations
.libPaths( ) function, 2nd
library( ) function
line( ) function
line charts
lines
graphical parameters
reference
lines( ) function, 2nd, 3rd
link function
list( ) function
lists
list-wise deletion
listwise deletion
lm( ) function, 2nd
lme4 package
lmer( ) function, lme4 package
lmfit list object
lmPerm package
load( ) function, 2nd
loadhistory( ) function
location option, 2nd
locator() function
loess( ) function
log( ) function
log10( ) function
logical operators
logistic regression, 2nd, 3rd, 4th
extensions
fitting
interpreting parameters
overdispersion
lognormal distribution
logregperm package
long data format
longitudinalData package, 2nd
looping, repetition and
lower.panel option
lowess( ) function
ls( ) function, 2nd
lsa package, 2nd
.ls.objects( ) function
ltm package
lty option, 2nd
lty parameter
lty.smooth option, 2nd
lubridate package, 2nd
lwd option
lwd parameter
mad( ) function
mai parameter
main option, 2nd
Mallows Cp statistic
MANCOVA.
See multivariate analysis of covariance Mann-Whitney U test.
MANOVA.
See multivariate analysis of variance.
manova( ) function
MAR.
See missing at random.
mar parameter
margin dimensions
marginplot( ) function, VIM package
MASS package, 2nd, 3rd, 4th
math annotations
mathematical functions
matrices
applying functions to
matrix algebra with R
of scatter plots
matrix function
matrixplot( ) function, VIM package
max( ) function
MCAR.
See missing completely at random.
md.pattern( ) function, mice package
MDS.
See multidimensional scaling.
mean( ) function, 2nd, 3rd, 4th
mean substitution
mean values, bar plots for
median( ) function
melt( ) function
melting
merging datasets
adding columns
adding rows
metafile format, Windows
method option
mfrow parameter
MI.
See multiple imputation mi package.
mice( ) function
mice package, 2nd, 3rd, 4th
Microsoft Excel, importing data from
min( ) function
minor.tick( ) function
minus sign
missing at random (MAR)
missing completely at random (MCAR)
missing data
approaches for dealing with incomplete data
complete-case analysis
exploring patterns
exploring missing data visually
missing values, 2nd
identifying
multiple imputation
pairwise deletion
rational approaches for correcting
simple imputation
steps in dealing with
understanding sources and impact of
missing values
excluding from analyses
recoding values to missing
mix package
mixed-model ANOVA design
mlogit package
mode( ) function
MODULUS operator
mosaic( ) function, vcd library
mosaic plots
mosaicplot( ) function
mtcars data frame, 2nd, 3rd
mtext( ) function, 2nd
multcomp package, 2nd, 3rd
multicollinearity
multidimensional scaling (MDS)
multiline comments
multiple comparisons
nonparametric
parametric
one-way ANCOVA
one-way ANOVA
multiple graphs per page.
See page arrangement of graphs.
multiple imputation (MI), 2nd
multiple linear regression, 2nd, 3rd
multiple regression
multivariate analysis of covariance (MANCOVA)
multivariate analysis of variance (MANOVA), 2nd
assessing test assumptions
robust
multivariate normal data, generating
multivariate regression
mvnmle package, 2nd
mvoutlier package, 2nd
mvrnorm( ) function
NA.
See not available.
names( ) function, 2nd
names.arg argument
NaN.
See not a number.
na.omit( ) function, 2nd
na.rm option
ncdf package, 2nd, 3rd
ncdf4 package, 2nd, 3rd
nchar( ) function
ncvTest( ) function, 2nd
netCDF files.
See network Common Data Form files netCDF library, Unidata.
network Common Data Form (netCDF) files
new option
nFactors package, 2nd
NHST.
See null hypothesis significance testing.
nlme package
NMAR.
See not missing at random.
nonlinear model, versus linear model
nonlinear regression
nonparametric regression
nonparametric tests
nonstochastic imputation
no.readonly option
normal data, generating multivariate
normal distribution functions
normal Q-Q plot
not a number (NaN), 2nd
not available (NA), 2nd
not missing at random (NMAR)
notched box plots
noweb file, 2nd
npmc package
nrows option
null hypothesis significance testing (NHST)
obcConnectExcel( ) function
objects
oblique rotation, 2nd
ODBC interface.
See Open.
Database Connectivity
interface
odbcConnect( ) function
ODF.
See Open Documents Format odfTable( ) function.
odfWeave package
OLS regression.
See ordinary least squares regression.
one-way analysis of covariance (ANCOVA)
assessing test assumptions
visualizing results
one-way between-groups ANOVA design
one-way within-groups ANOVA design
Open Database Connectivity (ODBC) interface
Open Documents Format (ODF)
openMx package, 2nd
OpenOffice documents, creating reports with odfWeave package
OpenOffice ODT file
options( ) function, 2nd
OR operator
order( ) function, 2nd
order of formula terms, 2nd
order.clusters( ) function
ordered factor
order.single( ) function, gclus package
ordinary least squares (OLS) regression
cross-validation
fitting regression models with lm( ) function
multiple linear regression
multiple linear regression with interactions
polynomial regression
regression diagnostics
simple linear regression
variable (model) selection
variable importance
orthogonal rotation, 2nd
outlier observation
outliers
outlierTest( ) function, 2nd, 3rd
output
graphic
text
using as input
packages
analytic, for large datasets
description of
function of
installing
list of
loading
updating
page arrangement of graphs
with base graphics
with lattice graphs
pairs( ) function
pairwise deletion
pamm package
pan package
panel functions, 2nd
panel option, 2nd
panel.abline( ) function
panel.ellipse option
panel.grid( ) function
panel.lmline( ) function
panel.loess( ) function
panel.minmax option
panel.pie option
panel.pts option
panel.rug( ) function
panel.shade option
panel.txt option
panel.xyplot( ) function, 2nd
par( ) function, 2nd, 3rd, 4th, 5th, 6th
parallel analysis approach
parallel box plots, comparing groups with
parameters, graphic
paste( ) function, 2nd
pastecs package
PCA.
See principal components analysis.
pch parameter
pdf( ) function
pedantics package
period character
PHYS variable
pie charts
pie3D( ) function
piface package, 2nd
pin parameter
playwith package, 2nd
plot( ) function, 2nd, 3rd, 4th
plot3d( ) function, rgl package
plotmath( ) function
plotmeans( ) function, gplots package, 2nd
plot.new( ) function
plotrix package
plots, power analysis
plotting symbols, with pch parameter
pmm.
See predictive mean matching.
png( ) function
points, identifying
poisson regression, 2nd
fitting
interpreting parameters
overdispersion
robust
with varying time periods
zero-inflated
poLC package
poLCA package
polygon( ) function
polynomial regression, 2nd, 3rd, 4th
pool( ) function
pos option, 2nd
position option
postscript( ) function
power analysis, 13th
hypothesis testing
implementing with pwr package
ANOVA
Chi-square tests
correlations
effect size benchmarks
linear models
tests of proportions
t-tests
plots
specialized packages
powerGWASinteraction package
powerpkg package
powerSurvEpi package
predict( ) function
predictive mean matching (pmm)
pretty() function
primary variables, in lattice functions
principal( ) function, 2nd, 3rd
principal components analysis (PCA)
other latent variable models
principal components
extracting
obtaining scores
rotating
selecting number of
components to extract
princomp( ) function
print( ) statement
probability functions
generating multivariate normal data
setting seed for random number generation
profr package
prooftools package
proportions, tests of
ps parameter
pseudo-random numbers
multivariate normal
probability distributions
setting the seed
psych package, 2nd
pundat dataframe
pwr package, implementing power analysis with
ANOVA
Chi-square tests
correlations
effect size benchmarks
linear models
tests of proportions
t-tests
pwr.2p2n.test function
pwr.2p.test( ) function, 2nd
pwr.anova.test( ) function, 2nd, 3rd
pwr.chisq.test( ) function, 2nd
pwr.f2.test( ) function, 2nd
PwrGSD package
pwr.p.test function
pwr.r.test( ) function, 2nd, 3rd
pwr.t2n.test function, 2nd
pwr.t.test( ) function
q( ) function, 2nd
qcc package
qplot( ) function
qqPlot( ) function
quadratic regression
quantile( ) function, 2nd
quartzFonts( )function
R AnalyticFlow GUI
R CMD BATCH statement
R code + LaTeX documents (Sweave package), typesetting with
R Commander GUI
R Data Import/Export manual
.R extension
R GUI Generator (RGG)
R GUI Projects page
R icon
R programming, common mistakes in
R statements
R_HOME value
R_HOME/etc directory
R2HTML package
rainbow( ) function, 2nd
Random Access Memory (RAM), storing data outside of
random number generation, setting seed for
random samples
randomized block design
randomLCA package, 2nd
range( ) function
Rattle (for data mining) GUI
rbind( ) function, 2nd, 3rd
Rcmdr package, 2nd
Rcpp package
RCurl package
.RData file
readLines( ) function
read.spss( ) function
read.ssd( ) function
read.table( ) function, 2nd
read.xlsx( ) function
recode( ) function
recodevar( ) function
recoding, values to missing
Red R GUI
reference lines
regression
ANOVA as
corrective measures
deleting observations
variables
diagnostics
enhanced approach
global validation of linear model assumption
multicollinearity
typical approach
measuring performance
cross-validation
relative importance
OLS
fitting regression models with lm( ) function
multiple linear regression
polynomial regression
simple linear regression
selecting model
comparing models
variable selection
unusual observations
high leverage
influential
outliers
varieties of
regression diagnostics
regsubsets( ) function
relaimpo package
relative importance, of variables
relative weights
relative widths
relweights( ) function
rename( ) function
rep( ) function
repeated measures, ANOVA, 2nd
repetition, and looping
resampling statistics, 2nd
reshape package, 2nd, 5th
casting
melting
residplot( ) function
residual versus leverage plot
residuals( ) function
results option, Sweave
RGG.
See R GUI Generator rggobi package.
rgl package, 2nd
.Rhistory file
RJDBC package
Rkward GUI
rm( ) function, 2nd, 3rd
rms package
RMySQL package, 2nd
robust MANOVA
robust package
Robust regression
RODBC package, 2nd
ROracle package, 2nd
rotating
3D scatter plots
factors
principal components
round( ) function
.Rout extension
rownames
row.names option, 2nd
rows, adding
RPostgreSQL package, 2nd
Rprof( ) function
.Rprofile file
Rprofile.site file, 2nd
rrcov package, 2nd
RSiteSearch( ) function
RSQLite package, 2nd
R-square statistic
rug plots, 2nd
runif( ) function
sample( ) function
sample size quantity
samples, random
sampling package
sapply( ) function, 2nd
sas.get( ) function
save( ) function
savehistory( ) function
save.image( ) function
scalar values
scale( ) function, 2nd, 3rd
scales option
scan( ) function
scatter plots
3D
high-density
matrices
scatter3d( ) function, Rcmdr package
scatterplot( ) function, 2nd, 3rd
scatterplot3d( ) function, scatterplot3d package
scatterplot3d package, 2nd
scatterplotMatrix( ) function, 2nd, 3rd, 4th
scores option
scree( ) function
sd( ) function
search( ) command
seed, setting for random number generation
SELECT statements, 2nd
SEM.
See structural equation modeling sem package.
seq( ) function
SeqKnn package, 2nd
sequence, in for statements
set.seed( ) function
setwd( ) function
Sexpr statement
shadow matrix
shape option
show.settings( ) function
shrinkage( ) function
side option, 2nd
signif( ) function
significance levels
simple imputation
simple linear regression, 2nd, 3rd
simulate option
sin( ) function
singer dataset
sinh( ) function
sink( ) function, 2nd
site initialization file
size option, in ggplot2
sm packages, 2nd
sm.density.compare( ) function, 2nd
smoothScatter( ) function, base package, 2nd
software, updating
sorting, data management
source( ) function
speedglm package
sphericity
spine( ) function
spinning 3D scatter plots
spinograms
split( ) function, in bigtabulate package
split option, in lattice plots, 2nd
splitting output
spread option, 2nd
spreadLevelPlot( ) function, 2nd, 3rd
SPSS datasets.
See Statistical Package for the Social Sciences datasets, importing data from spss. get( ) function.
SQL.
See Structured Query Language sqldf( ) function.
sqldf package
sqlDrop( ) function
sqlFetch( ) function
sqlQuery( ) function
sqlSave( ) function
sqrt( ) function
ssize.fdr package
stacked bar plots
standardizing data
startup environment customizing
statements, in R
state.x77 dataset
Statistical Analysis System (SAS) datasets, importing data from
statistical applications, exporting data for
statistical functions
Statistical Package for the Social Sciences (SPSS) datasets, importing data from
Stat/Transfer application, importing data via
stepAIC( ) function
stepwise regression
stop( ) function
storage, outside of RAM
str( ) function, 2nd
stringsAsFactors option
strip option
strsplit( ) function, 2nd
structural equation modeling (SEM)
Structured Query Language (SQL)
sub( ) function
sub option
subset( ) function
subsets( ) function
subsetting datasets
selecting observations
selecting variables
subset( ) function
substr( ) function
sum( ) function, 2nd, 3rd
sum of squares
Type I (sequential)
Type II (hierarchical)
Type III (marginal)
summary( ) function, 2nd, 3rd
summary.aov( ) function
summaryRprof( ) function
Sweave( ) function, 2nd
Sweave package (R code + LaTeX documents), typesetting with
switch construct
symbols
graphical parameters
plotting with pch parameter
in R formulas
symbols( ) function
Sys.Date( ) function
Sys.getenv( ) function
system.time( ) function
t( ) function
tab-delimited files
table( ) function, 2nd
tabulating missing values
tail( ) function
tan( ) function
tanh( ) function
tapply( ) function
tck option
terrain.colors( )function
Test of proportions
TeX file
text( ) function
text characteristics, graphical parameters
text output
text.col ( ) option
text.panel option
tick marks
tick.ratio
tiff( ) function
time-series regression
time-stamping data
title( ) function, 2nd, 3rd
title option
titles
tolower( ) function
topo.colors( )function
toupper( ) function
transform( ) function
transformations, of variables
transmission disequilibrium test (TDT)
transpose
trellis.par.get( ) function
trellis.par.set( ) function
trt2times variable
trunc( ) function
twiddler package
two-way ANOVA design
two-way factorial ANOVA, 2nd
type conversions
Type I (sequential) approach
Type II (hierarchical) approach
Type III (marginal) approach
type option
unbalanced design
Unidata netCDF library
uniquenesses
unz( ) function
update( ) function
update.packages( ) function, 2nd
updating installations
upper.panel option
url( ) function
user-written functions, 2nd
validation, of linear model assumption
value labels
var( ) function
variable <- expression statement
variable labels
variable[condition] <- expression statement
variance inflation factor (VIF)
varimax rotation
varwidth option
vcd package, 2nd, 3rd, 4th, 5th
vcov( ) function
vectors
vegan package
VIF.
See variance inflation factor.
vif( ) function, 2nd
vignette( ) function
VIM package, 2nd, 3rd
violin plots
vioplot( ) function
vioplot package
warning( ) function
webscraping
which( )function
while loop
widths option
Wilcoxon rank sum test
Wilks.test( ) function, rrcov package
Windows metafile format
windowsFont( ) function
win.metafile( ) function
with( ) function, 2nd, 3rd, 4th
within( ) function
workspace, 2nd
write.foreign( ) function
write.table( ) function
write.xlsx( ) function
xaxt option
xfig( ) function
xlab option, 2nd, 3rd
xlim option, 2nd
xlsx package, 2nd, 3rd
XML files, importing data from
XML package, 2nd
xtable( ) function, 2nd
xtable package
xyplot( ) function
xzfile( ) function