3:46
Select Last Column of Data Frame in R (2 Examples) | Refer to & Extract Final Variable | ncol & drop
... frame last_vec <- data[ , ncol(data)] # Apply ncol function last_vec # Print last column as vector last_data <- data[ , ncol(data), ...
3:28
R Randomly Reorder Data Frame by Row & Column / Variable (Examples) | sample, nrow & ncol Functions
How to order the rows and columns of a data frame randomly in the R programming language. More details: ...
3:22
Remove Empty Rows of Data Frame in R (2 Examples) | apply, all, rowSums, is.na & ncol Functions
How to delete empty rows in a data frame in the R programming language. More details: ...
3:50
nrow, ncol & dim Functions in R (3 Examples) | Number of Rows & Columns | Dimension of Data Frame
How to get the number of rows and columns of a data matrix in the R programming language. More detailed tutorials: ...
7:39
Select Odd & Even Rows & Columns from Data Frame in R (4 Examples) | seq_len, nrow & ncol Functions
How to extract odd and even rows and columns from a data frame in the R programming language. More details: ...
2:19
Convert Vector to Matrix in R (Example) | Create Matrices from Arrays | matrix Function, ncol & nrow
How to switch from vector to matrix class in the R programming language. More details: ...
2:39
Create Empty Matrix in R (Example) | How to Construct Matrices with Zero Rows | matrix, ncol & nrow
How to build a matrix with zero rows in the R programming language. More details: ...
32:44
Named and anonymous functions in R: Fun fun functions! (CC049)
Within R you can write your own functions. These may be many lines of code or they may only be a single line. In today's episode ...
3:42
Use Function in Each Row of Data Frame in R (2 Examples) | apply(), by() & nrow() Functions | RowSum
How to apply a function to each row of a data frame in the R programming language. More details: ...
3:55
Set Row & Column Names of Data Frame with Unknown Dimension in R (Example) | nrow, paste0 & ncol
How to change row and column names of a data frame or matrix without knowing the dimensions in the R programming language.