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R code 1a.R
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R code 1a.R
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2 + 2 # control + enter or control + R
# works as calculator
1:50 # print numbers 1 to 50 to the console
50:1 # print numbers 50 to 1 in reverse order to console
print ("Hello World!")
# ctrl + L is going to clear the console
x <- 1:5 # assigning numbers 1 to 5 to the object x
x
y <- c(3, 5, 8, 1, 2) # alt + '-' is the shortcut for assignment operator
y
a <- x + y
a
z <- 4:9
z
x + z
p <- 4:8
p
x + p
x * 2
ls() # list objects
#packages are a collection of R functions
install.packages("XML")
install.packages("XML", repos = "http://www.omegahat.net/R")
library(XML)
version
mba <- read.csv("C:\\Users\\welcome\\Documents\\ExcelR\\Day 05 Basic Stat _ R\\Data Sets\\mba.csv") # load csv file into R
?read.csv
View(mba) # show the dataset uploaded to R
getwd() # shows the current working directory
setwd("C:\\Users\\welcome\\Documents\\ExcelR\\Day 05 Basic Stat _ R\\Data Sets\\") # set a working directory of your choice
str(mba) # quick overview of the variables & dataset
# update.packages()
install.packages("RCurl")
library(RCurl)
data2 <- getURL("https://www.excelr.com")
#data2
browseURL("http://ftp.iitm.ac.in/cran/")
library()
install.packages("xlsx")
# Loading the library of xlsx
library(xlsx)
?require
require(xlsx)
library(help = "xlsx") # it'll open a tab with the help documentation
#Long form of your documentation for the respective pacakages
vignette(package="xlsx")
# Loading the long form of documentation through browser.
browseVignettes(package="xlsx")
vignette()
browseVignettes()
rm(list=ls())
#======================================================================
# vector
temp <- c(38, 32, 34, 38, 40)
#(38+32+34+38+40)/5
#Overall average for the defined dataset provided in the function
mean(1,2,3,4,5)
# middle value of the dataset
median(temp)
x <- c(1, 2, 3, 4, 5)
x
mean(x)
a <- c(1,2,5.3,6,-2,4) # numeric vector
a
b <- c("YES","OK","FINE") # character vector
b
c <- c(TRUE,TRUE,TRUE,FALSE,TRUE,FALSE) #logical vector
c
typeof(x)
#======================================================================
# List An ordered collection of objects
#Loading the value in local variable using
rain <- list('Y', 'N', 'N', 'Y', 'Y')
typeof(rain)
class(rain)
temp <- list(38, 32, 34, 38, 40)
rain
temp
#======================================================================
#Array
array(1:3, c(2,4,2))
b <- array(1:30, c(5, 3, 4))
a
b
#1:4
# another example
cells <- c(1,26,24,68)
rnames <- c("R1", "R2")
cnames <- c("C1", "C2")
mymatrix <- matrix(cells, nrow=2, ncol=2, byrow=TRUE,
dimnames=list(rnames, cnames))
mymatrix
#======================================================================
# matrix
temp <- c(38, 32, 34, 38, 40)
str(temp)
#Priority goes to char then number
percp <- c(110, 102, 103, 117, 90,'Y')
str(percp)
percp <- c(110, 102, 103, 117, 90)
mat = matrix(c(temp, percp), nrow=2, byrow=T)
mat[,4] # 4th column of matrix
#======================================================================
#DataFrame contains different columns can have different modes (numeric, character)
temperptrain <- data.frame(temp = c(38, 32, 34, 38, 40),
percp=c(110, 102, 103, 117, 90),
rain=c('Y', 'N', 'N', 'Y', 'Y'))
typeof(temperptrain)
class(temperptrain)
temperptrain
View(temperptrain)
#======================================================================
#An ordered collection of objects
w <- list(name="ExcelR", mynumbers=temp, mymatrix=rain, age=5.3)
w$age
w$mymatrix
# example of a list containing two lists
v <- c(list1,list2)
raintemp <- list(rain, temp)
raintemp
# for viewing the dataset along with it's type
str(raintemp)
#======================================================================
#user defined function
cube <- function(x){x*x*x}
a <- cube(2)
#Print cube root form the value
a
cube(1:4)
#in-built functions
a <- seq(1, 0, -0.1)
a
seq(1, 0, -0.1)
seq(10, 0, -1)
str(seq)
#======================================================================
#to View built in DAtabases in R
data()
data("EuStockMarkets")
View(EuStockMarkets)
?EuStockMarkets