Web@hsl Yes, the dplyr and the other solution is neat here. But, I am selling this ((:-) for large number of groups, ie. if you have say 100 x unique values, and there are 100 values to compare with y elements for each 'x', then, the mapply will compare the corresponding list element (output of split) with the corresponding vector element (c(15,5)) using the >. WebDec 28, 2024 · They are almost identical; > is the base R version, %>% is the magrittr version. rene_at_coco: Within the filter function I see if_any is what selects the columns. That's right; if_any () checks to see if any of the columns specified meet a condition. I use contains ("col"), so in full it is saything "if any of the columns that have "col" in ...
How to Filter a data.table in R (With Examples) - Statology
WebFeb 6, 2024 · using dplyr filter_at () function to select rows with conditions. I want to filter data frame according to a specific conditions in several columns. I use the following example o make it my statement more clear. dat <- data.frame (A = c (122, 122, 122), B = c (0.1, 0.1, 0.1), C = c (5, 5, 4), D = c (6, 7, 6)) I want to select rows which ... WebFiltering with multiple conditions in R: Filtering with 2 columns using or condition. library(dplyr) result_or <- df1 %>% filter(Mathematics1_score>45 Science_score>45) … bombyx bonbon
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WebMar 11, 2024 · Note that the operator is used as an “or” statement in R. Example 2: If Statement with Multiple Conditions Using AND. The following code shows how to create a new column called rating that assigns a value of “good” if the points column is greater than 15 and the assists column is greater than 8. Otherwise it assigns a value of “bad”: WebFeb 7, 2024 · By using bracket notation we can select rows by the condition in R. In the following example I am selecting all rows where gender is equal to ‘M’ from DataFrame. For more examples refer to selecting rows from the data frame. # Select Rows by equal condition df [ df $ gender == 'M',] # Output # id name gender dob state #1 10 sai M … WebJun 16, 2024 · Method 1: Using OR, filter by many conditions. library(dplyr) df %>% filter(col1 == 'A' col2 > 50) Method 2: Filter by Multiple Conditions Using AND. … bombyxes