Reputation: 2050
I'm trying to filter a data frame using dplyr by group, where the first occurrence of the string 'ReadingOnset' in a row is captured and it and all subsequent rows are passed into a new dataframe.
Text_Stimuli <- structure(list(Name = c("Sub1", "Sub1", "Sub1", "Sub1", "Sub1",
"Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1",
"Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1",
"Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1",
"Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1",
"Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1",
"Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1",
"Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1",
"Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1",
"Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1",
"Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1",
"Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1",
"Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1", "Sub1"
), StimulusName = c("GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20", "GenLie20",
"GenLie20"), StimuliBlock = c("Block_4", "Block_4", "Block_4",
"Block_4", "Block_4", "Block_4", "Block_4", "Block_4", "Block_4",
"Block_4", "Block_4", "Block_4", "Block_4", "Block_4", "Block_4",
"Block_4", "Block_4", "Block_4", "Block_4", "Block_4", "Block_4",
"Block_4", "Block_4", "Block_4", "Block_4", "Block_4", "Block_4",
"Block_4", "Block_4", "Block_4", "Block_4", "Block_4", "Block_4",
"Block_4", "Block_4", "Block_4", "Block_4", "Block_4", "Block_4",
"Block_4", "Block_4", "Block_4", "Block_4", "Block_4", "Block_4",
"Block_4", "Block_4", "Block_4", "Block_4", "Block_4", "Block_4",
"Block_4", "Block_4", "Block_4", "Block_4", "Block_4", "Block_4",
"Block_4", "Block_4", "Block_4", "Block_4", "Block_4", "Block_4",
"Block_4", "Block_4", "Block_4", "Block_4", "Block_4", "Block_4",
"Block_4", "Block_4", "Block_4", "Block_4", "Block_4", "Block_4",
"Block_4", "Block_4", "Block_4", "Block_4", "Block_4", "Block_4",
"Block_4", "Block_4", "Block_4", "Block_4", "Block_4", "Block_4",
"Block_4", "Block_4", "Block_4", "Block_4", "Block_4", "Block_4",
"Block_4", "Block_4", "Block_4", "Block_4", "Block_4", "Block_4",
"Block_4", "Block_4"), Reading_Onset = c("", "", "", "", "",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "", "", "", "", "", "", "", "",
"", "", "", "", "", "", "", "", "ReadingOnset", "", "", "", "",
"", "", "")), row.names = c(NA, -101L), vars = c("Name", "StimulusName",
"StimuliBlock"), drop = TRUE, indices = list(0:100), group_sizes = 101L, biggest_group_size = 101L, labels = structure(list(
Name = "Innocent Subject 15", StimulusName = "GenLie20",
StimuliBlock = "Block_4"), row.names = c(NA, -1L), class = "data.frame", vars = c("Name",
"StimulusName", "StimuliBlock"), drop = TRUE), class = c("grouped_df",
"tbl_df", "tbl", "data.frame"))
Here is an example of the type of solution I've been trying to get to work, but without success.
Test <- Text_Stimuli %>%
group_by(Name, StimulusName, StimuliBlock)%>%
filter(!lead(cumsum(grepl("ReadingOnset", Reading_Onset)), default = 0))
As you can see I'm trying to group by Name
, StimulusName
, and StimuliBlock
. Then I'm trying to find the first occurrence of 'ReadingOnset' in the column Reading_Onset
and return all leading rows from that (and including the row with 'ReadingOnset').
I've been trying to adapt this solution to the inverse of the problem: https://stackoverflow.com/a/37922522/2653210
Upvotes: 0
Views: 1378
Reputation: 8110
I couldn't tell if you want everything before and including ReadingOnset or if you want everything after and including ReadingOnset, so i'll show both.
Everything before and including:
library(dplyr)
Text_Stimuli %>%
filter(row_number() <= which(grepl("ReadingOnset", Reading_Onset)))
Everything after and including:
Text_Stimuli %>%
filter(row_number() >= which(grepl("ReadingOnset", Reading_Onset)))
What we're doing is just filtering based on the row number that "ReadingOnset" is found on.
Upvotes: 2
Reputation: 2210
You could try this, with your data set :
library(dplyr)
library(stringr)
library(zoo)
df %>% filter(ifelse(str_detect(Reading_Onset,"ReadingOnset"),TRUE,NA) %>%
na.locf(na.rm=FALSE))
## A tibble: 8 x 4
## Groups: Name, StimulusName, StimuliBlock [1]
# Name StimulusName StimuliBlock Reading_Onset
# <chr> <chr> <chr> <chr>
#1 Innocent Subject 15 GenLie20 Block_4 ReadingOnset
#2 Innocent Subject 15 GenLie20 Block_4 ""
#3 Innocent Subject 15 GenLie20 Block_4 ""
#4 Innocent Subject 15 GenLie20 Block_4 ""
#5 Innocent Subject 15 GenLie20 Block_4 ""
#6 Innocent Subject 15 GenLie20 Block_4 ""
#7 Innocent Subject 15 GenLie20 Block_4 ""
#8 Innocent Subject 15 GenLie20 Block_4 ""
Upvotes: 2