1- Data types in R
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We recommend to you install and use the latest version of R and RStudio IDE.
The common R data types for research are numeric, factor, and character.
Numeric
a <- c(-1, -3, 0, 5, 7, 8, 4, 6.3, 10)
- "<-" is assignment operator
- "c()" function combines values into a vector or list.
- We can get help about functions by using question mark and the name of the function, for example:
?c()
Factor
drink_vector <- (c('milk', 'water', 'juice')) drink_vector # [1] "milk" "water" "juice" drink_factor <- factor(drink_vector) drink_factor # [1] milk water juice # Levels: juice milk water
Character
d<-c('Hellow world', 'R is fun!') d # [1] "Hellow world" "R is fun!"
Create dataframe:
Add a column with $ operatora <- c(1, 3, 5, 7) b <- c(2, 4, 6, 8) df<-data.frame(a, b) df
Add a column with cbind functiondf$new_column <- c(1, 2, 3, 4) df
View df as table in RStudiodf <- cbind(df, new_new_column = c('a', 'b', 'c', 'd')) df
Get names of dataframeview(df)
Display the Structure of the dataframenames(df)
Summarystr(df)
summary(df)
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