Edited for clarity (#23034)

Minor changes to wording to stay consistent with professional standards.
This commit is contained in:
DataCowboy
2018-11-29 20:34:56 -05:00
committed by Christopher McCormack
parent fe204ef8cb
commit abeb1af705

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@ -47,7 +47,7 @@ title: Data Types in R
```
## Vector
It is a sequence of data elements of the same basic type. For example:
Vectors are sequences of data elements of the same basic type. For example:
> o <- c(1,2,5.3,6,-2,4) # Numeric vector
> p <- c("one","two","three","four","five","six") # Character vector
@ -59,7 +59,7 @@ title: Data Types in R
## Matrix
It is a two-dimensional rectangular data set. The components in a matrix also must be of the same basic type like vector. For example:
A matrix is a two-dimensional rectangular data set. The components in a matrix must be of the same basic type. For example:
> m = matrix( c('a','a','b','c','b','a'), nrow = 2, ncol = 3, byrow = TRUE)
> m
@ -69,7 +69,7 @@ title: Data Types in R
## Data Frame
It is more general than a matrix, in that different columns can have different basic data types. For example:
A data frame is more general than a matrix, in that different columns can have different basic data types. For example:
> d <- c(1,2,3,4)
> e <- c("red", "white", "red", NA)
@ -86,7 +86,7 @@ title: Data Types in R
## Lists
It is an R-object which can contain many different types of elements inside it like vectors, functions and even another list inside it. For example:
Lists are R-objects which can contain many different types of elements inside them like vectors, functions and even another list. For example:
> list1 <- list(c(2,5,3),21.3,sin)
> list1