Reputation: 151
I have an extremely large data.frame. I reproduce part of it.
RECORDING_SESSION_LABEL condition TRIAL_INDEX IA_LABEL IA_DWELL_TIME
1 23 match 1 eyes 3580
2 23 match 1 nose 2410
3 23 match 1 mouth 1442
4 23 match 1 face 841
5 23 mismatch 3 eyes 1817
6 23 mismatch 3 nose 1724
7 23 mismatch 3 mouth 1600
8 23 mismatch 3 face 1136
9 23 mismatch 4 eyes 4812
10 23 mismatch 4 nose 3710
11 23 mismatch 4 mouth 4684
12 23 mismatch 4 face 1557
13 23 mismatch 6 eyes 4645
14 23 mismatch 6 nose 2321
15 23 mismatch 6 mouth 674
16 23 mismatch 6 face 684
17 23 match 7 eyes 1062
18 23 match 7 nose 1359
19 23 match 7 mouth 215
20 23 match 7 face 0
I need to calculate the percentage of IA_DWELL_TIME for each IA_LABEL in each trial index. For that, I first put IA_label in different columns
data_IA_DWELL_TIME <- tidyr::spread(data_IA_DWELL_TIME, key = IA_LABEL, value = IA_DWELL_TIME)
For calculating the percentage, I create a new dataframe:
data_IA_DWELL_TIME_percentage <-data_IA_DWELL_TIME
data_IA_DWELL_TIME_percentage$eyes <- 100*(data_IA_DWELL_TIME$eyes/(rowSums(data_IA_DWELL_TIME[,c("eyes","nose","mouth","face")])))
data_IA_DWELL_TIME_percentage$nose <- 100*(data_IA_DWELL_TIME$nose/(rowSums(data_IA_DWELL_TIME[,c("eyes","nose","mouth","face")])))
data_IA_DWELL_TIME_percentage$mouth <- 100*(data_IA_DWELL_TIME$mouth/(rowSums(data_IA_DWELL_TIME[,c("eyes","nose","mouth","face")])))
data_IA_DWELL_TIME_percentage$face <- 100*(data_IA_DWELL_TIME$face/(rowSums(data_IA_DWELL_TIME[,c("eyes","nose","mouth","face")])))
So all is fine, and I get the wanted output. The problem is when I want to put the columns back to the rows
data_IA_DWELL_TIME_percentage <- tidyr::gather(key = IA_LABEL, value = IA_DWELL_TIME,-RECORDING_SESSION_LABEL,-condition, -TRIAL_INDEX)
I obtain this error:
Error in tidyr::gather(key = IA_LABEL, value = IA_DWELL_TIME, -RECORDING_SESSION_LABEL, : object 'RECORDING_SESSION_LABEL' not found >
Any idea of what is going on here? Thanks!
Upvotes: 0
Views: 98
Reputation: 14774
As explained, you're not referring to your data frame in the gather
statement.
However, you could avoid the need for referring to it altogether and put the second part in a dplyr
pipeline, like below:
library(dplyr)
library(tidyr)
data_IA_DWELL_TIME <- spread(data_IA_DWELL_TIME, key = IA_LABEL, value = IA_DWELL_TIME)
data_IA_DWELL_TIME %>%
mutate_at(
vars(eyes, nose, mouth, face),
~ 100 * (. / (rowSums(data_IA_DWELL_TIME[, c("eyes", "nose", "mouth", "face")])))
) %>%
gather(key = IA_LABEL, value = IA_DWELL_TIME,-RECORDING_SESSION_LABEL,-condition, -TRIAL_INDEX)
Upvotes: 1