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getwd()
|
Find the working dir.
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setwd("C:/file/path")
|
Set the working dir.
|
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ls()
|
List variables
|
|
rm(object)
|
Delete object
|
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str(object)
|
Displays internal structure of R object
|
|
help.start()
|
Launch help console
|
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install.packages("package_name")
|
Install package
|
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library(package_name)
|
Load package
|
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detach(package:package_name)
|
Remove package
|
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scan()
|
Read data values
|
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list(x=1:5, y=c('a', 'b'))
|
Create list
|
|
is.list()
Check if the arg is a list |
as.list()
Force the arg to list |
|
lapply(list_name, function)
Apply function over a list and return as list |
|
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sapply(list_name, function)
Return as suitable data structure(vector) |
|
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c("String1","String2")
|
Create a string vector
|
|
toString(x)
|
Convert to string
|
|
noqutoe(string)
|
Print string w/o quote
|
|
sprintf()
|
Print text & var values
|
|
cat()
|
Concatenate & print
|
|
toupper(string)
|
Convert to uppercase
|
|
tolower(string)
|
Convert to lowercase
|
|
substr(string,n,m)
|
Extract substrings in a string from n to m
|
|
strsplit(string," ")
|
Split elements of string
|
|
paste(c("a","b"),"c")
Concatenate vectors |
paste0(c("a","b"),"c")
Concat w/o separator |
|
rbinom(n, size, prob)
|
Binomial
|
|
rpois(n, lambda)
|
Poisson
|
|
runif(n, min=0, max=1)
|
Uniform
|
|
rnorm(n, mean=0, sd=1)
|
Normal
|
|
rexp(n, rate=1)
|
Exponential
|
|
c(2, 4, 6)
|
Numeric vector
|
|
c("one","two","thr")
|
Character vector
|
|
c(TRUE,FALSE)
|
Logical vector
|
|
rep(1:2,times=3)
|
Repeat a vector
|
|
rep(1:2,each=3)
|
Repeat the elements
|
|
which.min()
Index of the min |
which.max()
Index of the max |
|
data.frame(x=1:2,
y=c('a', 'b')) |
Create data frame
|
|
View(df_name)
|
See full dataframe
|
|
head(df_name)
|
See first 6 rows
|
|
tail(df_name)
|
See last 6 rows
|
|
df_name[cond, ]
|
Row filter
|
|
df_name[c("column")]
|
Column filter
|
|
df_name[cond1, ][ ,cond2]
Row and Column filter |
|
function_name <- function(var){
Do something
return(new_variable)}**If Statement -**
if (condition){
Do something
} else {
Do something different}
-------------------------------
**Ifelse Statement -**
ifelse(condition, Do something, Do something different)
-------------------------------
**Switch Statement -**
switch("beta","alpha=1,beta=2,gamma=3,4) |
For Loop -
for (var in sequence){Do something} |
While Loop -
while (condition){ Do something} |
|
barplot()
|
plot()
|
qqnorm()
|
|
pie()
|
plot(density())
|
qplot()
|
|
mosaicplot()
|
pairs()
|
boxplot()
|
|
hist()
|
matplot()
|
ggplot()
|
|
m1 <- matrix(1:12, now=4, ncol=3, dimnames=....)
Create a matrix with 4 rows and 3 columns |
||
|
t(m)
|
Transpose of matrix
|
|
|
rbind(m1,m2)
Combine by row |
cbind(m1,m2)
Combine by column |
|
|
The following applies to arrays also:
|
||
|
dimnames(m)
|
dim(m)
|
colnames(m)
|
|
rownames(m)
|
nrow(m)
|
ncol(m)
|
|
summary(object)
|
Summary of object
|
|
class(object)
|
Find class of an R object
|
|
length(object)
|
Get length of an object
|
|
quantile(x)
|
Find quantiles
|
|
rowMeans(x)/
colMeans(x) |
rowSums(x)/
colSums(x) |
|
table(x)
|
Build a contingency table
|
|
describe(object)
|
Description of object
|
|
subset(x,cond)
|
Create subsets
|
|
t.test(data, mu=3)
One sample two-sided t-test |
|
|
t.test(data, mu=3, alternative='greater')
One sample one-sided t-test |
|
|
t.test(data1, data2, mu=0.5)
Two sample two-sided t-test |
|
|
t.test(data1, data2, mu=0.5, alternative='less')
Two sample one-sided t-test |
|
|
t.test(post_data, pre_data, paired=TRUE)
Paired test |
|
|
wilcox.test(data, mu=8, alt='less')
Wilcoxen test |
|
|
cor.test(data1, data2)
Correlation test |
chisq.test(data)
Chi-square test |
|
ks.test(data1, data2)
If both are frm same distn |
shapiro.test(data)
Normality test |
|
aov(data1~ data2)
ANOVA |
lm(data1~ data2)
Regression |
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