Index

Symbols | 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

Symbols

#
&
&&
*
+
-
/
3D plotting
<-
|
||

A

abline()
access list
access lists
addition
append
arrows()
as.array()
as.Date()
as.difftime()
as.factor()
as.POSIXct()
as.POSIXlt
as.table(), [1], [2]
assign()
assignment, [1]
attributes(), [1], [2], [3]
axes limits
axis(), [1]

B

bar plot
barplot()
binomial distribution
box()
boxplot()
break
bty

C

c(), [1]
callNextMethod
case study, [1]
cat(), [1]
censoring data, [1]
chi-squared distribution
chi-squared test
class()
colnames(), [1]
comments
confidence interval, [1]
cor()
csv

D

data frame, [1]
data.frame
date
dbinom()
dchisq()
density()
dev.list()
dev.new()
dev.next()
dev.prev()
dev.print()
dev.set()
devices
difftime()
dir()
discrete data, [1], [2]
distributions, [1]
division
dnorm()
dot chart
dt()

E

else
encapsulation
environment()
error bars
example, [1]
exp()
expression()

F

factor()
factors
FALSE
five point summary
fixed width files
for loop, [1]
for(), [1]
format()
function()
functions

G

get()
getClass()
getSlots()
graphing discrete data
grid()

H

help()
hist(), [1]
histogram
horizontal boxplot
Hypothesis test, [1]

I

if
independent samples, [1], [2]
indexing vectors
inheritance, [1]
is.factor()
is.na()
is.numeric()
is.object()
isS4()

J

JAMA example
jitter()

K

keyboard input

L

lapply(), [1]
legend()
levels()
linear least squares regression
linear model
list
list access
list()
lm()
log()
logical
logical expressions
logical not
logical operators
logical vectors
ls(), [1]

M

margin.table()
matrix(), [1], [2]
max(), [1]
mean()
median()
method overloading
min(), [1], [2]
missing values
mosaic plots
mosaicplot
mosaicplot()
multiple plots
multiple relationships
multiplication

N

NA
na.rm
names(), [1], [2], [3]
next
NextMethod()
noise
normal distribution
normal qq plot
not available
numeric, [1]
numeric()

O

Object Oriented Programming, [1]
one way table
overloading, [1]

P

p values
pairs()
par()
Pareto Chart
pbinom()
pchisq()
persp()
plot annotation
plot regression line
plot(), [1], [2]
plotting, [1]
plotting proportions
plotting tables
pmin(), [1], [2], [3]
png
pnorm(), [1]
points()
polygon(), [1]
POSIXct
POSIXlt
power, [1]
power.t.test(), [1]
print()
prop.table()
pt()

Q

qbinom()
qchisq()
qnorm()
qqline(), [1]
qqnorm(), [1]
qt()
quantile()

R

rbinom()
rchisq()
read.csv(), [1]
read.fwf()
regression
rejection region
repeat lupe
repeat()
residuals()
rnorm()
rownames()
rt()
rug()

S

S3 Classes
S4 Classes
S4 methods
sapply(), [1]
scan()
scatter plot
scripting
sd()
selective indexing
seq()
setClass(), [1]
setGeneric()
setMethod()
setwd()
shaded region
slot()
slotNames()
slots, [1]
smoothScatter()
sort
source
sqrt(), [1]
strftime()
string
strip chart
stripchart()
strptime()
subtraction
sum(), [1]
summary(), [1], [2], [3]
switch
Sys.Date()

T

t()
t-distribution
t.test(), [1]
table(), [1], [2]
tables
tapply(), [1]
text()
tick marks
time
title()
transpose
TRUE
two way tables, [1]
typeof()

U

UseMethod
UseMethod(), [1]

V

validObject(), [1]
var()
variables

W

while lupe
while()

X

xlim

Y

ylim