I\'ve started with R and I\'m still finding my way with syntax. I\'m looking to get the frequencies for a scaled variable which has values of 0 through 10 and NA.
Here's a base R solution built around table()
, match()
, and replace()
:
freq <- table(df$R,useNA='ifany');
freq;
##
## 5 7 9
## 2 1 1 1
R <- c(0:10,NA);
df2 <- data.frame(R=R,freq=freq[match(R,as.integer(names(freq)))]);
df2$freq[is.na(df2$freq)] <- 0;
df2;
## R freq
## 1 0 0
## 2 1 0
## 3 2 0
## 4 3 0
## 5 4 0
## 6 5 2
## 7 6 0
## 8 7 1
## 9 8 0
## 10 9 1
## 11 10 0
## 12 NA 1
Edit: Frank has a better answer, here's how you can use table()
on a factor to get the required output:
setNames(nm=c('R','freq'),data.frame(table(factor(df$R,levels=RAnswers,exclude=NULL))));
## R freq
## 1 0 0
## 2 1 0
## 3 2 0
## 4 3 0
## 5 4 0
## 6 5 2
## 7 6 0
## 8 7 1
## 9 8 0
## 10 9 1
## 11 10 0
## 12 1