Chapter 18 Appendix D Function and variable index

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Index Entry

 

Section


!

!:

 

Logical vectors

!=:

 

Logical vectors


%

%*%:

 

Multiplication

%o%:

 

The outer product of two arrays


&

&:

 

Logical vectors

&&:

 

Conditional execution


*

*:

 

Vector arithmetic


+

+:

 

Vector arithmetic


-

-:

 

Vector arithmetic


.

.:

 

Updating fitted models

.First:

 

Customizing the environment

.Last:

 

Customizing the environment


/

/:

 

Vector arithmetic


:

::

 

Generating regular sequences

:::

 

Namespaces

::::

 

Namespaces


<

<:

 

Logical vectors

<<-:

 

Scope

<=:

 

Logical vectors


=

==:

 

Logical vectors


>

>:

 

Logical vectors

>=:

 

Logical vectors


?

?:

 

Getting help

??:

 

Getting help


^

^:

 

Vector arithmetic


|

|:

 

Logical vectors

||:

 

Conditional execution


~

~:

 

Formulae for statistical models


A

abline:

 

Low-level plotting commands

ace:

 

Some non-standard models

add1:

 

Updating fitted models

anova:

 

Generic functions for extracting model information

anova:

 

ANOVA tables

aov:

 

Analysis of variance and model comparison

aperm:

 

Generalized transpose of an array

array:

 

The array() function

as.data.frame:

 

Making data frames

as.vector:

 

The concatenation function c() with arrays

attach:

 

attach() and detach()

attr:

 

Getting and setting attributes

attr:

 

Getting and setting attributes

attributes:

 

Getting and setting attributes

attributes:

 

Getting and setting attributes

avas:

 

Some non-standard models

axis:

 

Low-level plotting commands


B

boxplot:

 

One- and two-sample tests

break:

 

Repetitive execution

bruto:

 

Some non-standard models


C

c:

 

Vectors and assignment

c:

 

Character vectors

c:

 

The concatenation function c() with arrays

c:

 

Concatenating lists

C:

 

Contrasts

cbind:

 

Forming partitioned matrices

coef:

 

Generic functions for extracting model information

coefficients:

 

Generic functions for extracting model information

contour:

 

Display graphics

contrasts:

 

Contrasts

coplot:

 

Displaying multivariate data

cos:

 

Vector arithmetic

crossprod:

 

Index matrices

crossprod:

 

Multiplication

cut:

 

Frequency tables from factors


D

data:

 

Accessing builtin datasets

data.frame:

 

Making data frames

density:

 

Examining the distribution of a set of data

det:

 

Singular value decomposition and determinants

detach:

 

attach() and detach()

determinant:

 

Singular value decomposition and determinants

dev.list:

 

Multiple graphics devices

dev.next:

 

Multiple graphics devices

dev.off:

 

Multiple graphics devices

dev.prev:

 

Multiple graphics devices

dev.set:

 

Multiple graphics devices

deviance:

 

Generic functions for extracting model information

diag:

 

Multiplication

dim:

 

Arrays

dotchart:

 

Display graphics

drop1:

 

Updating fitted models


E

ecdf:

 

Examining the distribution of a set of data

edit:

 

Editing data

eigen:

 

Eigenvalues and eigenvectors

else:

 

Conditional execution

Error:

 

Analysis of variance and model comparison

example:

 

Getting help

exp:

 

Vector arithmetic


F

F:

 

Logical vectors

factor:

 

Factors

FALSE:

 

Logical vectors

fivenum:

 

Examining the distribution of a set of data

for:

 

Repetitive execution

formula:

 

Generic functions for extracting model information

function:

 

Writing your own functions


G

getAnywhere:

 

Object orientation

getS3method:

 

Object orientation

glm:

 

The glm() function


H

help:

 

Getting help

help:

 

Getting help

help.search:

 

Getting help

help.start:

 

Getting help

hist:

 

Examining the distribution of a set of data

hist:

 

Display graphics


I

identify:

 

Interacting with graphics

if:

 

Conditional execution

if:

 

Conditional execution

ifelse:

 

Conditional execution

image:

 

Display graphics

is.na:

 

Missing values

is.nan:

 

Missing values


J

jpeg:

 

Device drivers


K

ks.test:

 

Examining the distribution of a set of data


L

legend:

 

Low-level plotting commands

length:

 

Vector arithmetic

length:

 

The intrinsic attributes mode and length

levels:

 

Factors

lines:

 

Low-level plotting commands

list:

 

Lists

lm:

 

Linear models

lme:

 

Some non-standard models

locator:

 

Interacting with graphics

loess:

 

Some non-standard models

loess:

 

Some non-standard models

log:

 

Vector arithmetic

lqs:

 

Some non-standard models

lsfit:

 

Least squares fitting and the QR decomposition


M

mars:

 

Some non-standard models

max:

 

Vector arithmetic

mean:

 

Vector arithmetic

methods:

 

Object orientation

min:

 

Vector arithmetic

mode:

 

The intrinsic attributes mode and length


N

NA:

 

Missing values

NaN:

 

Missing values

ncol:

 

Matrix facilities

next:

 

Repetitive execution

nlm:

 

Nonlinear least squares and maximum likelihood models

nlm:

 

Least squares

nlm:

 

Maximum likelihood

nlme:

 

Some non-standard models

nlminb:

 

Nonlinear least squares and maximum likelihood models

nrow:

 

Matrix facilities


O

optim:

 

Nonlinear least squares and maximum likelihood models

order:

 

Vector arithmetic

ordered:

 

Ordered factors

ordered:

 

Ordered factors

outer:

 

The outer product of two arrays


P

pairs:

 

Displaying multivariate data

par:

 

The par() function

paste:

 

Character vectors

pdf:

 

Device drivers

persp:

 

Display graphics

plot:

 

Generic functions for extracting model information

plot:

 

The plot() function

pmax:

 

Vector arithmetic

pmin:

 

Vector arithmetic

png:

 

Device drivers

points:

 

Low-level plotting commands

polygon:

 

Low-level plotting commands

postscript:

 

Device drivers

predict:

 

Generic functions for extracting model information

print:

 

Generic functions for extracting model information

prod:

 

Vector arithmetic


Q

qqline:

 

Examining the distribution of a set of data

qqline:

 

Display graphics

qqnorm:

 

Examining the distribution of a set of data

qqnorm:

 

Display graphics

qqplot:

 

Display graphics

qr:

 

Least squares fitting and the QR decomposition

quartz:

 

Device drivers


R

range:

 

Vector arithmetic

rbind:

 

Forming partitioned matrices

read.table:

 

The read.table() function

rep:

 

Generating regular sequences

repeat:

 

Repetitive execution

resid:

 

Generic functions for extracting model information

residuals:

 

Generic functions for extracting model information

rlm:

 

Some non-standard models

rm:

 

Data permanency and removing objects


S

scan:

 

The scan() function

sd:

 

The function tapply() and ragged arrays

search:

 

Managing the search path

seq:

 

Generating regular sequences

shapiro.test:

 

Examining the distribution of a set of data

sin:

 

Vector arithmetic

sink:

 

Executing commands from or diverting output to a file

solve:

 

Linear equations and inversion

sort:

 

Vector arithmetic

source:

 

Executing commands from or diverting output to a file

split:

 

Repetitive execution

sqrt:

 

Vector arithmetic

stem:

 

Examining the distribution of a set of data

step:

 

Generic functions for extracting model information

step:

 

Updating fitted models

sum:

 

Vector arithmetic

summary:

 

Examining the distribution of a set of data

summary:

 

Generic functions for extracting model information

svd:

 

Singular value decomposition and determinants


T

T:

 

Logical vectors

t:

 

Generalized transpose of an array

t.test:

 

One- and two-sample tests

table:

 

Index matrices

table:

 

Frequency tables from factors

tan:

 

Vector arithmetic

tapply:

 

The function tapply() and ragged arrays

text:

 

Low-level plotting commands

title:

 

Low-level plotting commands

tree:

 

Some non-standard models

TRUE:

 

Logical vectors


U

unclass:

 

The class of an object

update:

 

Updating fitted models


V

var:

 

Vector arithmetic

var:

 

The function tapply() and ragged arrays

var.test:

 

One- and two-sample tests

vcov:

 

Generic functions for extracting model information

vector:

 

Vectors and assignment


W

while:

 

Repetitive execution

wilcox.test:

 

One- and two-sample tests

windows:

 

Device drivers


X

X11:

 

Device drivers


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