I'm not sure what I'm missing here:
library(dplyr)
df1<-data.frame(n=c(1,1,1,2,1,1,2))
mutate(df1,foo=n/mean(c(n,lag(n)),na.rm=TRUE))
n foo
1 1 0.8125
2 1 0.8125
3 1 0.8125
4 2 1.6250
5 1 0.8125
6 1 0.8125
7 2 1.6250
What on earth is going on? The first row should be, basically, 1/mean(1)
, i.e., '1'. Why am I getting 0.8125? What's even stranger is in my original dataset, I'm getting yet another number - 0.608, for basically the same calculation. What am I missing?
Try summarise(df1, length(c(n,lag(n))))
— the length of the vector c(n,lag(n))
is the same as two times the number of rows and has mean 1.230769
.
What I believe you want to do is:
mutate(df1,foo=n/rowMeans(cbind(n,lag(n)),na.rm=TRUE))
n foo
1 1 1.0000000
2 1 1.0000000
3 1 1.0000000
4 2 1.3333333
5 1 0.6666667
6 1 1.0000000
7 2 1.3333333