All Questions
2,252
questions
1
vote
2
answers
44
views
How to select the row with specific condition and the row just above? [closed]
Here is how I defined my condition , but I need the row just above as well. There are many observations per ID.
data2<- data2 %>%
group_by (ID_number) %>%
filter(time_diff_hour > 8....
1
vote
2
answers
40
views
How to keep the first appearance of a value while filtering everything else out in R?
This is the appearance of my dataset currently. I want to include patient 1 data until the first '1' occurs in 'test.result' then remove any information about patient 1 after that.
current dataset
...
1
vote
2
answers
78
views
Filtering specific sequences in R
I am trying to filter a dataset I have obtained after RNASeq Analysis. I have "Sequence Name" assigned to "topological domain" and "transmembrane region". I would like to ...
1
vote
2
answers
42
views
How to get column-wise summary statistics with missing codes?
I have written a custom function ord_table() to extract summary statistics from a series of databases. To get those summary statistics, I have to filter out missing data codes (all codes are large ...
1
vote
2
answers
53
views
How to filter data with sequences missing sections of a specified size or greater?
I have a data frame with a sequence (Slice) of observations for each group. Many of the sequences are incomplete. This is a simplified version of the data:
Slice
GroupID
Observation
1
A
1
2
A
6
3
...
0
votes
2
answers
45
views
Filter rows with time period that falls within another row timeperiod
I have a dataset that resembles the following minimal example:
Category date_in date_out
KA 2018-09-05 2018-10-08
KA 2018-09-05 ...
1
vote
1
answer
59
views
Conditional filtering of dataframe in R
I wonder how to dplyr::filter() my DATA to catch the rows for IDs whose Language value when 'Type!=5F' and when 'Type==5F' changes from other languages to "English"?
For example, ID==1 has ...
0
votes
1
answer
76
views
R and dplyr it's not recognizing a variable and realizing the condition
I have one data frame about animal sightings (more than 300), with species of whales, dolphins, pinipedes and penguins.
And I want to create a new column reino, which would be misticeto for whales, ...
0
votes
2
answers
64
views
R filter out rows based on value in different row
Here's an example df:
df <- data.frame(
id= c(1,1,1,1,2,2,2,2),
admit_dt = c("2022-01-01", "" ,"2022-05-05","", "", "2022-09-03", &...
1
vote
3
answers
46
views
Finding rows in a data.frame that are the same on one variable but different on another variable in R
In my DATA below, how could I filter the rows where the Nm values are the same but Descr values are different to achieve my Desired_out below?
DATA <- read.table(header=T, text ="
Cd Nm ...
1
vote
1
answer
48
views
How to remove associated observation from 2 datasets in r
I have a complex filter I am trying to implement but not sure how to make it work.
I have two datasets:
data_1 <- data.frame(
ID = c(1, 1, 1, 1, 2, 2, 3, 3, 4, 4),
speciale = c(80003, 80003, 80003, ...
2
votes
7
answers
110
views
How to count observations after each filter in tidyverse R?
I often apply filters in R, e.g. when selecting a particular sample or feature or excluding implausible values. Is there a fast and easy way to keep track on how many units were deleted after every ...
1
vote
3
answers
82
views
Remove elements with same prefix from a string in a column
and thank you for being part of an awesome community of learners and explorers! :) I have an issue with removing elements from a character column. This answer pointed me in a correct direction (split ...
1
vote
5
answers
79
views
How to filter out the top Nth value of each row in a R dataframe?
There is a R dataframe, I want to filter out the top Nth value of each row with the rest values being set to 0.
For example, suppose the dataframe looks like the following table:
0.5 0.3 0.2 0.15 0.9
...
0
votes
4
answers
84
views
Subject-level filtering within a date range across two dataframes using dplyr
I'm looking to filter the data in one dataframe (Target) based of whether or not a value in another dataframe (Reference) falls between two dates in the Target dataframe.
For example, this would be my ...