names(titanic_df)[1] <- 'P_Class'
library(plyr)
rename(d, c("beta"="two", "gamma"="three"))
#> alpha two three
#> 1 1 4 7
#> 2 2 5 8
#> 3 3 6 9
my_data %>%
rename(
sepal_length = Sepal.Length,
sepal_width = Sepal.Width
)
colnames(trSamp)[2] <- "newname2"
rename(table_name, new_column = old_column)
#For multiple column change:
rename(table_name, new_column = old_column, new_col2 = old_col2)
df <- rename(df, new_name = old_name) #For renaming dataframe column
tbl <- rename(tbl, new_name = old_name) #For renaming tibble column
tbl <- tbl %>% rename(new_name = old_name) #For renaming tibble column using dplyrpipe
#operator
# df = dataframe
# old.var.name = The name you don't like anymore
# new.var.name = The name you want to get
names(df)[names(df) == 'old.var.name'] <- 'new.var.name'
colnames(df)[which(names(df) == "columnName")] <- "newColumnName"
rename(df, !!metric:=value)
df %>% rename(!!variable := name_of_col_from_df)