2024 Dplyr change value based on condition

Dplyr change value based on condition

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August undefined, 2024

Weblibrary (dplyr) df %>% group_by (group) %>% mutate (newValue = date [value == 4L]) Or a possible base R solution using merge after filtering the data (will need some renaming afterwards) merge (df, df [df$value == 4, c ("group", "date")], by = "group") Share Follow edited Aug 25, 2015 at 22:24 answered Aug 25, 2015 at 21:58 David Arenburg WebApr 29, 2011 · The easiest way to do this in one command is to use which command and also need not to change the factors into character by doing this: junk$nm [which (junk$nm=="B")]<-"b" Share Improve this answer edited Jan 7, 2012 at 13:31 Tim Cooper

Replace Value of Data Frame Variable Using dplyr …

WebFeb 5, 2024 · A base dplyr solution, using ifelse () instead of case_when (): library (dplyr) df <- data.frame (Col1 = 1:10, Col2 = c ("a", "a", "a", "b", "b", "c", "c", "d", "d", "d"), Col3 = seq (.11, .2, by = .1)) df %>% mutate (Col3 = ifelse (Col2 == 'b', NA, Col2)) Share Improve this answer Follow answered Feb 5, 2024 at 20:58 Steven 3,198 21 48 WebMar 18, 2024 · Replace Value of Data Frame Variable Using dplyr Package in R (Example) In this R post you’ll learn how to use the dplyr package to change particular values in a … high back pfd

Recode values — recode • dplyr - Tidyverse

WebMar 28, 2024 · 1. I need to assign a new column, with multiple possible values based on multiple conditions. Example Data. a1 a2 a3 a4 a5 a6 a7 a8 a9 NA 1 NA 2 7 8 9 1 1 7 7 7 7 7 7 7 7 7 6 6 6 6 6 6 5 5 5. So I might have rules for example: if a1 to a9 contain 1 or 2 then return 1, otherwise, return 7. or if a1 to 19 contain 5 or 6, return a 6, otherwise 3. WebJul 28, 2024 · Output: prep str date 1 11 Welcome Sunday 2 12 to Monday Method 2: Using filter() with %in% operator. In this, first, pass your dataframe object to the filter function, then in the condition parameter write the column name in which you want to filter multiple values then put the %in% operator, and then pass a vector containing all the string values … WebDec 12, 2024 · 2 Answers Sorted by: 3 You can try a simple ifelse statement that checks for the sum of y being greater than 0 (i.e. a 1 exists) and z being 'CD', library (dplyr) df %>% group_by (x) %>% mutate (z = ifelse (any (y == '1') & z == 'CD', 'x', z)) # A tibble: 4 x 3 # Groups: x [1] # x y z # #1 P 0 0 #2 P 0 0 #3 P 1 0 #4 P 0 x Share how far is johnson city tn from boone nc

Replace Value in column based on another column With R

WebAug 13, 2024 · If I focus on deleting rows only based on one variable, this piece of code works: test_dff %>% filter (contbr_zip != c ('9309')) %>% filter (contbr_zip != c ('3924')) %>% filter (contbr_zip != c ('2586')) Why does such an approach not work? test_dff %>% filter (contbr_zip != c ('9309','3924','2586')) Thanks a lot for your help. r dplyr Share WebCreate, modify, and delete columns — mutate • dplyr Create, modify, and delete columns Source: R/mutate.R mutate () creates new columns that are functions of existing variables. It can also modify (if the name is the same as an existing column) and delete columns (by setting their value to NULL ). Usage mutate(.data, ...) how far is johnsonville sc from meWebJan 2, 2024 · You can use ifelse to define a conditional value. The first argument of ifelse is the condition. In this case we want !is.na (date_b) !is.na (c) to indicate if either is not NA. The second argument is what we want if the first argument evaluates TRUE. In this case, can just return that value of date_a. how far is johnson city from nashville

"WebNov 16, 2024 · You can use one of the following methods to replace values in a data frame conditionally: Method 1: Replace Values in Entire Data Frame. #replace all values in … " - Dplyr change value based on condition

Dplyr change value based on condition

Replace Values in Data Frame Conditionally in R (4 …

Web1 hour ago · The idea is: If column Maturity is NA (other values already filled based on tissue analysis), and if female/male with certain size put either Mature or Immature. ... but R base for example, if that's more handy with 3 conditions. r; dplyr; case; data-manipulation; Share. Follow edited 3 mins ago. zx8754. 50.9k 12 12 gold badges 115 115 silver ... WebAug 16, 2024 · Using dplyr to conditionally replace values in a column – mikebader Aug 16, 2024 at 20:31 Run dput (head (.)), shows:structure (list (UniqueKey = c ("530", "530", "530", "531", "531", "531"), MEDICALRECORD = c ("577207", "577207", "577207", "575333", "575333", "575333"),Enterdateofexam = c ("7.06", "8.06", "9.06", "22.12", "23.12", "24.12")...

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WebThe following example demonstrates how to update DataFrame column values by checking conditions on a numeric column. It updates column id to 55 when its value is equal to 40. # Replace Values Based on Condition df $ id [ df $ id == 40] <- 55 df Yields below output. Web19 hours ago · Trying to systematically change the value of every other row based on condition. I have a data frame that is structured in the ways outlined below. Based on a specific condition, I would like to assign a new value for every other row where this condition is true. I'm wondering if someone can help me assign new values for every …

WebAug 21, 2024 · Often you may want to create a new variable in a data frame in R based on some condition. Fortunately this is easy to do using the mutate() and case_when() functions from the dplyr package. ... The following code shows how to create a new variable called ‘scorer’ based on the value in the points column:

Web2 days ago · Create new variable based on values from certain rows on certain columns by group. ... How to add rows to dataframe by combining values of already existing rows with R dplyr. 1 Calculate diffs per group with default from other column. 1 Group rows by a column, then keep only rows with alternating values in different specified ... Dynamically ... WebDF <- data.frame (Row=c (1,2,3,4,5),'2.04'=c (1,1,0,0,1),'2.05'=c (0,0,0,0,1), '2.06'=c (1,0,0,0,1),'2.07'=c (1,0,0,1,1),'2.08'=c (1,1,1,0,0), Results=c (2.08,2.08,2.08,2.04,2.07) So for row 2 the columns 2.04 and 2.08 meet condition (a), and only 2.08 meets condition (b) because 2.08>2.04. dplyr or data.table would be preferred. r Share

Web15 hours ago · I have time series cross sectional dataset. In value column, the value becomes TRUE after some FALSE values. I want to filter the dataset to keep all TRUE values with previous 4 FALSE values. The example dataset and …

WebSep 9, 2016 · You can use the ifelse statement to create a column based on one (or more) conditions. But first you have to change the 'encoding' of missing values in the distance column. You used "" to indicate a missing value, this however converts the entire column to string and inhibits numerical comparison (distance < 10 is not possible). high back plastic chairs outdoorWebMay 14, 2014 · More concise code: The code mutate (dat, dist = ifelse (speed == 4, dist * 100, dist) is a bit long. I scanned through the Stata code of several economic papers and such replace.if operations occur very frequently there. how far is johnstown from altoonaWebNov 7, 2024 · I want to fill an existing column based on conditions in two others. The dataframe is called A. If the columns box=6 AND document = 75 then size= big. I need to only populate the empty cells in siz... high back pianoWebPart of R Language Collective Collective 145 I regularly need to change the values of a variable based on the values on a different variable, like this: mtcars$mpg [mtcars$cyl … high back pillow with armsWebAug 21, 2024 · @melbez . represents the value in each column. With mutate_at/mutate_all, it is looping through the columns.Here, the condition in case_when is if 'condition' value is 'ncap', then return the value . subtracted from 4 or else return the value TRUE ~ ..You can have many conditions in case_when (just as you showed). … how far is johnstown from meWebJun 16, 2024 · Then I thought maybe it's because NAs are weird, so let's try something simpler: change foo to -1 if V01 is NA: tbl <- tbl %>% mutate ( foo = case_when (V01 == NA ~ -1) ) But that produced the same result, all values of foo changed to NA (and the value of foo in row 4 did not change to -1 either). Then I decided to do something even simpler. how far is johnson city from knoxvilleWebAs you can see based on the previous output, we have replaced the value 1 by the value 99 in the first column of our data frame. Example 2: Conditionally Exchange Values in Character Variable. This Example … how far is johnson city tn from kingsport tn