What are the various Data Types in R Language?
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R has a wide variety of data types including scalars, vectors (numerical, character, logical), matrices, data frames, and lists.
Vectors
a <- c(1,2,5.3,6,-2,4) # numeric vector
b <- c("one","two","three") # character vector
c <- c(TRUE,TRUE,TRUE,FALSE,TRUE,FALSE) #logical vector
Refer to elements of a vector using subscripts.
a[c(2,4)] # 2nd and 4th elements of vector
Matrices
All columns in a matrix must have the same mode(numeric, character, etc.) and the same length. The general format is
mymatrix <- matrix(vector, nrow=r, ncol=c, byrow=FALSE,
dimnames=list(char_vector_rownames, char_vector_colnames))
byrow=TRUE indicates that the matrix should be filled by rows. byrow=FALSE indicates that the matrix should be filled by columns (the default). dimnames provides optional labels for the columns and rows.
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R has a wide variety of data types including scalars, vectors (numerical, character, logical), matrices, data frames, and lists.
Vectors. a <- c(1,2,5.3,6,-2,4) # numeric vector. ...Matrices. All columns in a matrix must have the same mode(numeric, character, etc.) ...Arrays. ...Data Frames. ...Lists. ...Factors. ...
Vectors. a <- c(1,2,5.3,6,-2,4) # numeric vector. ...Matrices. All columns in a matrix must have the same mode(numeric, character, etc.) ...Arrays. ...Data Frames. ...Lists. ...Factors. ...
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