I have a data frame which looks like the following:
dat <- data.frame(Target = c(rep("01", times = 8), rep("02", times = 4)),
targ1clicks = c(1, 1, 1, 1, 0, 0 ,0 , 1, 0, 0, 0, 1))
Target targ1clicks
1 01 1
2 01 1
3 01 1
4 01 1
5 01 0
6 01 0
7 01 0
8 01 1
9 02 0
10 02 0
11 02 0
12 02 1
What I want to find is how many times the value in the targ1clicks column changes between 1 and 0. So for Target 01, it should be 2; for Target 02 it should be 1. I know there are some similar posts on this which helped me achieve the code I already have (below). The issue is my code is not generating the correct values and I can't figure out why.
Here is the code I have thus far:
clickRows <- which(dat$targ1clicks != dplyr::lag(dat$targ1clicks)) #find the row numbers
#where there is a change
dat2 <- dat[c(clickRows),] #filter by these row numbers and save as new df
dat2 <- dat2 %>%
group_by(Target) %>%
filter(targ1clicks == 1) #filter just on the '1' values
no.accClicks <- as.data.frame(table(dat2$Target)) #This should show the number
#of value changes for each target
The trouble is, this code doesn't give me the correct value for Target 01 - it gives me the following:
Var1 Freq
1 01 1
2 02 1
The Freq column should indicate the number of value changes, so it should have 2 for the 01 target, and I can't figure out why this isn't working correctly! Any insight into why this isn't working or any alternatives on how to code this would be hugely appreciated.
Try this
dat |> group_by(Target) |>
summarise(Freq = sum(abs(diff(targ1clicks))))
# A tibble: 2 × 2
Target Freq
<chr> <dbl>
1 01 2
2 02 1