Matrices In R

Kevin Feasel

2018-08-14

R

Dave Mason continues his perusal of R data types, this time looking at the matrix:

All of the examples so far have consisted of matrices with data elements of the same class. And for good reason: it’s a requirement for a matrix. R will coerce elements with mismatched classes to the same class. Here are two vectors, one of class integer and the other of class character. After combining them into a matrix via rbind(), we see the first row of data elements are of the character class (enclosed in double quotes):

> row1 <- c(1L, 2L, 3L, 4L)
> row2 <- c("a", "b", "c", "d")
> new_matrix <- rbind(row1, row2)
> new_matrix [,1] [,2] [,3] [,4]
row1 "1" "2" "3" "4"
row2 "a" "b" "c" "d"

Matrices drive a large number of statistical techniques, though I tend to deal with them less directly than I would have imagined.

Related Posts

Interactive ggplot Plots with plotly

Laura Ellis takes us through ggplotly: As someone very interested in storytelling, ggplot2 is easily my data visualization tool of choice. It is like the Swiss army knife for data visualization. One of my favorite features is the ability to pack a graph chock-full of dimensions. This ability is incredibly handy during the data exploration […]

Read More

Goodbye, gather and spread; Hello pivot_long and pivot_wide

John Mount covers a change in tidyr which mimics Mount and Nina Zumel’s pivot_to_rowrecs and unpivot_to_blocks functions in the cdata package: If you want to work in the above way we suggest giving our cdatapackage a try. We named the functions pivot_to_rowrecs and unpivot_to_blocks. The idea was: by emphasizing the record structure one might eventually internalize what the transforms […]

Read More

Categories

August 2018
MTWTFSS
« Jul Sep »
 12345
6789101112
13141516171819
20212223242526
2728293031