Fill NAs (replace NAs) in a column based on group summaries.

Fill NAs (replace NAs) in a column based on group summaries.

Usage

fs_fill_col(df, group.cols, update.col, fun)

Arguments

df

A data frame

group.cols

Names of columns to group by.

update.col

Names of column that should be summarized.

fun

The function for summarizing (e.g., mean, max etc.)

Value

A data frame

Examples

#df<-fs_get_data(years=2016:2017,species.sought=144,gclass=1,gearcode=41,nafo=c('4t','4s'))
#test<-fs_fill_col(df,group.cols=c('year','nafodiv'),update.col='nugear',fun=mean)
#summary(df$nugear)
#summary(test$nugear)
#test.fail<-fs_fill_col(df,group.cols=c('year','nafodiv'),update.col=c('nugear','amtgear'),fun=mean)