lab report 1

#Clear objects (data) and command history in R/RStudio.

rm(list = ls())   # Clear environment
cat("\014")      # Clear console

if (file.exists(".Rhistory")) file.remove(".Rhistory")    # Remove history files if present
rh = file.path(path.expand("~"), ".Rhistory")
if (file.exists(rh)) file.remove(rh)

#install packages

options(repos = c(CRAN = "https://cloud.r-project.org"))
install.packages("officedown")      #Sets the default CRAN repository (download server) for installing packages in the current R session.

## Installing package into 'C:/Users/PCPV/AppData/Local/R/win-library/4.3'
## (as 'lib' is unspecified)

## 
##   There is a binary version available but the source version is later:
##            binary source needs_compilation
## officedown  0.4.0  0.4.1             FALSE

## installing the source package 'officedown'

library(officedown) 
library(officer)
#5.8. Install the R package
install.packages("ggplot2")               #install ggplot2 and psych packages

## Installing package into 'C:/Users/PCPV/AppData/Local/R/win-library/4.3'
## (as 'lib' is unspecified)

## 
##   There is a binary version available but the source version is later:
##         binary source needs_compilation
## ggplot2  3.5.1  4.0.2             FALSE

## installing the source package 'ggplot2'

library (ggplot2)                         # call ggplots package in R

#Running the basic R commands

#5.1.  Arithmetic Operations
log(1000); abs(-3); sqrt(16)

## [1] 6.907755

## [1] 3

## [1] 4

#5.2. Creating Objects (Variables)
x <- 10
y <- 5
A=x + y
A

## [1] 15

#5.3. Working with vectors
WG <- c(2,6,8,10,12)
WG

## [1]  2  6  8 10 12

#5.4. Working with characters
sample <- c("A", "B", "C", "D") 
sample

## [1] "A" "B" "C" "D"

#5.5. Working with matrices (tables)
Temperature=c(25,30,35,40)
Rate= c(0.15,0.30,0.55,0.80)
Experiment=data.frame(Temperature, Rate)
Experiment

#5.8. Importing data in R from excel file
data=read.csv("D:/lecture notes/Applied statistics/Applied Stat lab/data/dat1R.csv")   # import it into R for data with column names in the first row
head(data)                           #shows the first 6 rows

tail(data)                             #shows the last 6 rows

attach(data)   # lets R know that this is the data table that we are working with right now