Creating Matrices
Part of the Logic & Flow section of Coddy's R journey. Lesson 17 of 64.
A matrix is a vector arranged in rows and columns, and every value has the same type. matrix(data, nrow = ...) fills it column by column by default:
m <- matrix(1:6, nrow = 2)
print(m)Output:
[,1] [,2] [,3]
[1,] 1 3 5
[2,] 2 4 6Add byrow = TRUE to fill it row by row, which matches data written one row per line:
m <- matrix(1:6, nrow = 2, byrow = TRUE)
print(m)Output:
[,1] [,2] [,3]
[1,] 1 2 3
[2,] 4 5 6Give either nrow or ncol; R computes the other from the length of the data.
dim(m) returns the number of rows and columns, and nrow() and ncol() return each one alone. matrix(0, nrow = 2, ncol = 3) repeats a single value to fill the matrix:
m <- matrix(0, nrow = 2, ncol = 3)
print(dim(m))
print(nrow(m) * ncol(m))
print(length(m))Output:
[1] 2 3
[1] 6
[1] 6rbind() stacks vectors as rows and cbind() as columns, which builds a matrix from separate vectors:
a <- c(1, 2, 3)
b <- c(4, 5, 6)
print(rbind(a, b))
print(dim(cbind(a, b)))Output:
[,1] [,2] [,3]
a 1 2 3
b 4 5 6
[1] 3 2Challenge
EasyComplete make_grid(values, n_cols). Return a matrix with n_cols columns that holds values row by row. The number of values is always a multiple of n_cols.
The supplied code reads the values as a comma-separated line and n_cols from the next line. It prints each row of the returned matrix on its own line and then its size as rows x columns.
Try it yourself
make_grid <- function(values, n_cols) {
# Write your code here
matrix(values)
}
# Supplied input/output code: keep it as it is
input <- suppressWarnings(readLines(file("stdin")))
values <- as.numeric(strsplit(input[1], ",")[[1]])
m <- make_grid(values, as.numeric(input[2]))
for (i in seq_len(nrow(m))) cat(m[i, ], "\n")
cat(nrow(m), "x", ncol(m), "\n")
This lesson includes a short quiz. Start the lesson to answer it and track your progress.
All lessons in Logic & Flow
1Strings In Depth
Substrings with substr()Formatting with sprintf()Splitting and JoiningSearching StringsReplacing TextRecap - Username Builder4Matrices
Creating MatricesIndexing MatricesRow and Column SummariesMatrix ArithmeticRecap - Seating Chart2Key-Value Lookups
Named Vector LookupsChecking KeysAdding and Removing KeysLooping Over NamesRecap - Stock Desk3Sets and Counting
Unique ValuesSet OperationsMembership TestsCounting with table()Recap - Event Guests6Functions as Values
Anonymous FunctionsPassing FunctionsReturning FunctionsClosures with StateRecap - Discount Rules9Data Frames
Creating Data FramesColumns and RowsFiltering RowsAdding and SortingRecap - Sales Report12Project - Expense Tracker
Recording ExpensesTotal SpendingPractice on your own: Online R compiler