Dplyr find minimum value by group
WebA dplyr solution: library (dplyr) ID <- c (1,1,1,2,2,2,2,3,3) Value <- c (2,3,5,2,5,8,17,3,5) Event <- c (1,1,2,1,2,1,2,2,2) group <- data.frame (Subject=ID, pt=Value, Event=Event) group %>% group_by (Subject) %>% summarize (max.pt = max (pt)) This yields the following data frame: Subject max.pt 1 1 5 2 2 17 3 3 5 Share Improve this answer WebSep 4, 2024 · We can use base R to get the minimum 'time' among all the columns of 'var' grouped by 'cat' sapply (split (d [-1], d$cat), function (x) x$time [min (which (x [-1] ==1, arr.ind = TRUE) [, 1])]) #A B #4 7 Share Improve this answer Follow answered Sep 4, 2024 at 14:57 akrun 864k 37 523 647 Add a comment 1 Is this something you are expecting?
Dplyr find minimum value by group
Did you know?
WebFeb 27, 2024 · The top-left panel depicts the subject specific residuals for the longitudinal process versus their corresponding fitted values. The top-right panel depicts the normal Q-Q plot of the standardized subject-specific residuals for the longitudinal process. The bottom-left depicts an estimate of the marginal survival function for the event process. Web2 days ago · df <- data.frame (colname=c ('A', 'B','c','D'), corr1=c (5500, 2400, 3900,5600), corr2=c (NA, 1600, 600 ,NA), corr3=c (NA, NA, 1200, NA), corr_final=c (5500,2400,2300,3800)) I need the following formulas for my calculation to obtain corr_final. In this values for corr_final for A and B rows stays the same as corr1.
WebMar 24, 2024 · 1 Answer Sorted by: 2 You almost got it library (tidyverse) iris %>% group_by (Species) %>% mutate (min_length = min (Petal.Length [Petal.Length > 1])) Share Follow answered Mar 24, 2024 at 17:39 Bruno 4,079 1 9 26 Add a comment Your Answer By clicking “Post Your Answer”, you agree to our terms of service, privacy policy …
Web我有以下腳本。 選項 1 使用長格式和group_by來標識許多狀態等於 0 的第一步。. 另一種選擇(2)是使用apply為每一行計算這個值,然后將數據轉換為長格式。. 第一個選項不能很好地擴展。 第二個可以,但我無法將其放入dplyr管道中。 我試圖用purrr解決這個問題,但沒 … WebGroup by one or more variables. Most data operations are done on groups defined by variables. group_by () takes an existing tbl and converts it into a grouped tbl where …
WebIt creates a grouping variable using gl(), groups by it, and then keeps the minimum value. Or using the same logic, but creating the groups by row_number(): A %>% group_by(grp = …
WebApr 11, 2024 · Part of R Language Collective Collective 0 Let suppose I am working with mtcars data table. I would like to summarise some informations such as number of observations like this : mtcars %>% group_by (am,gear) %>% summarise (eff=n ()) The results are the following : # Groups: am am gear eff 1 0 3 15 2 0 4 4 3 … navigation brewing companyWebJun 1, 2024 · 1 Answer Sorted by: 2 You need to use group_by and summarise rather than count and mutate: MaxSessions <- DataFrame %>% group_by (ID,Phase)%>% summarise (MaxSession = max (Session)) # A tibble: 5 x 3 # Groups: ID [?] ID Phase MaxSession 1 A1 Train1 2.00 2 A1 Train2 3.00 3 B1 Train1 1.00 4 B1 Train2 3.00 5 B2 … marketplace lincolnWeb我有以下腳本。 選項 1 使用長格式和group_by來標識許多狀態等於 0 的第一步。. 另一種選擇(2)是使用apply為每一行計算這個值,然后將數據轉換為長格式。. 第一個選項不能 … navigation bridge windowWebMethod 2: groupby using dplyr group_by () function takes “state” column as argument summarise () uses min () function to find minimum of sales. 1 2 library(dplyr) df1 %>% group_by(State) %>% summarise(Min_sales = … marketplace lewiston maine apartmentsWebMar 16, 2024 · dplyr: using filter, group_by, from within mutate command [duplicate] (1 answer) Using the result of summarise (dplyr) to mutate the original dataframe (3 answers) Closed 5 years ago. I have a data frame looks like this. library (dplyr) test.df <- … navigation brewing lowellWebHow to access data about the “current” group from within a verb. We’ll start by loading dplyr: library ( dplyr) group_by () The most important grouping verb is group_by (): it … marketplace lexington ncWebMay 4, 2015 · Here are two options using a) filter and b) slice from dplyr. In this case there are no duplicated minimum values in column c for any of the groups and so the results of a) and b) are the same. If there were duplicated minima, approach a) would return each minima per group while b) would only return one minimum (the first) in each group. a) navigation brewing lowell ma