R Tutorial
3
1. Input
2. Basic Data Types
3. Basic Operations and Numerical Descriptions
4. Basic Probability Distributions
5. Basic Plots
6. Intermediate Plotting
7. Indexing Into Vectors
8. Linear Least Squares Regression
9. Calculating Confidence Intervals
10. Calculating
p
Values
11. Calculating The Power Of A Test
12. Two Way Tables
13. Data Management
14. Time Data Types
15. Introduction to Programming
16. Object Oriented Programming
17. Case Study: Working Through a HW Problem
18. Case Study II: A JAMA Paper on Cholesterol
R Tutorial
Docs
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Index
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
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