7modes of data: “numeric”,“logical”,“character”,etc.
7.1 mode ( SOME_VECTOR )
############################################################################.# mode ( SOME_VECTOR )## NOTE: # typeof ( SOME_VECTOR ) is very similar to mode( SOME_VECTOR ) ##### In our class, we will tend to use the mode function instead of typeof.# See this for more info : https://stackoverflow.com/questions/35445112/what-is-the-difference-between-mode-and-class-in-r#:~:text=mode%20are%20basically%20the%20same,(mode%20%22function%22).#############################################################################.#---------------------------------------------------------------------------.# The "mode" function returns the type of data in a vector (e.g. "numeric", "logical", etc)#---------------------------------------------------------------------------.mode( c(100,200,300) ) # "numeric"
[1] "numeric"
mode ( c(TRUE, FALSE, TRUE, TRUE) ) # "logical"
[1] "logical"
mode ( c("apple","orange","pear") ) # "character"
[1] "character"
7.2 The modes: numeric, logical, character, list, complex, raw
#--------------------------------------------------------------------------.# R HAS SIX MODES OF DATA : numeric, logical, character, list, complex, raw ###### So far we learned about two modes of data, i.e. "numeric" and "logical".# R also has several other "modes". The ones that we will cover# in this course are:# # "numeric" (for numbers)# "logical" (for TRUE/FALSE values)# "character" (we will cover this soon)# "list" (we will cover this soon)## R also has the following modes of data that we will not cover this semester:## "complex" (for "complex" numbers - we will not cover this)# "raw" (for "binary" data - we will not cover this)#--------------------------------------------------------------------------.#--------------------------------------------------------------------------.# ONE MODE PER VECTOR## A single vector can only contain one "mode" of data.# If you attempt to put data of different modes in the same vector, # R automatically converts all of the data in a vector to the same mode. ###### For example, if you mix logical and numeric data in a single vector,# R converts all of the data into numeric data.# The TRUE's are converted to 1's and the FALSE's are converted to 0's.#--------------------------------------------------------------------------.# You CANNOT mix logical values and numbers in a single vector. # If you try to mix numbers with TRUE/FALSE's the TRUEs become 1's and the FALSEs become 0's. ####mixedVector =c(100, TRUE, FALSE, -20)mixedVector # 100 1 0 -20 TRUE changes to 1 and FALSE to 0