samp2 <- samp[,-1]
rownames(samp2) <- samp[,1]
library(dplyr)
df <- tibble::rownames_to_column(df, "VALUE")
data$row_names <- row.names(data) # Apply row.names function
data # Print updated data
# x1 x2 row_names
# 1 A e 1
# 2 B d 2
library("dplyr")
data <- tibble::rownames_to_column(data, "row_names") # Apply rownames_to_column
data # Print updated data
# row_names x1 x2
# 1 1 A e
# 2 2 B d
# 3 3 C c
d <- cbind(rownames(d), data.frame(d, row.names=NULL))
library(tidyverse)
samp %>% remove_rownames %>% column_to_rownames(var="names")
> samp.with.rownames <- data.frame(samp[,-1], row.names=samp[,1])
Code Example |
---|
R :: r return index of rows that have NA in dataframe |
R :: plot3d in r |
R :: variable assignment in r |
R :: create file in r |
R :: delete rows by rowname in R |
R :: create dataframe or table in r |
R :: how to split a column in r |
R :: grid.arrange |
R :: how to write dictionary in R |
R :: round multiple columns in r |
R :: skewness in r |
R :: delete all rows that contain a string in R |
R :: ggplot2 legend text |
R :: percent of missing data in df r |
R :: r sapply syntax |
R :: for loop in R dictionary |
R :: make the first row as header in r |
R :: how to format a number in r |
R :: insert a png in R |
R :: how to add a totals row in r using mutate |
R :: slope by row r |
R :: connect excel to r |
R :: how to count the number of non NA values in R |
R :: square root calculation r |
Rust :: rust take user input |
Rust :: rust u8 to string |
Rust :: rust string from bytes |
Rust :: uuid from string rust |
Rust :: rust comment types |
Rust :: armanriazi•rust•thread•recv•try_recv |