# df = dataframe<br /> # old.var.name = The name you don’t like anymore<br /> # new.var.name = The name you want to get</p> <p>names(df)[names(df) == ‘old.var.name’] <- ‘new.var.name’

names(titanic_df)[1] <- ‘P_Class’

library(plyr)<br /> rename(d, c(“beta”=”two”, “gamma”=”three”))<br /> #> alpha two three<br /> #> 1 1 4 7<br /> #> 2 2 5 8<br /> #> 3 3 6 9<br />

colnames(trSamp)[2] <- “newname2”

my_data %>%<br /> rename(<br /> sepal_length = Sepal.Length,<br /> sepal_width = Sepal.Width<br /> )

df <- rename(df, new_name = old_name) #For renaming dataframe column<br />  <br /> tbl <- rename(tbl, new_name = old_name) #For renaming tibble column<br />  <br /> tbl <- tbl %>% rename(new_name = old_name) #For renaming tibble column using dplyrpipe<br />                                            #operator<br />

rename(table_name, new_column = old_column)</p> <p>#For multiple column change:<br /> rename(table_name, new_column = old_column, new_col2 = old_col2)<br />

colnames(df)[which(names(df) == “columnName”)] <- “newColumnName”

df %>% rename(!!variable := name_of_col_from_df)<br />

rename(df, !!metric:=value)