WebI am working with a dataset of animal behaviors, and am trying to create a new column ("environment") based on conditions fulfilled in another row. Specifically, I want the new column to return "water" if the behavior falls between the start/stop times of the behavior "o_water", and "land" if it falls outside these bounds. WebA simple solution would be to use case_when. Similar to Stata's recode it allows you to specify several values simultaneously. It works the following way: newvar = case_when ( condition1 ~ target value, condition2 ~ target value) e.g. var1 == 1 ~ 0. Important you need a , after each line.
R: How to Use If Statement with Multiple Conditions - Statology
WebOne reason to add column to a dataframe in r is to add data that you calculate based on the existing data set. Another reason would be to add supplementary data from another … WebCreate a function that operates on the rows of your dataframe like so: def f (row): if row ['A'] == row ['B']: val = 0 elif row ['A'] > row ['B']: val = 1 else: val = -1 return val Then apply it to your dataframe passing in the axis=1 option: In [1]: df ['C'] = df.apply (f, axis=1) In [2]: df Out [2]: A B C a 2 2 0 b 3 1 1 c 1 3 -1 harstine island land for sale
How to Subset a Data Frame in R (4 Examples) - Statology
WebJul 27, 2024 · We can also use the select argument to only select certain columns based on a condition: #select rows where points is greater than 90 and only show 'team' column subset(df, points > 90, select=c(' team ')) team 5 C 6 C 7 C Additional Resources. How to Remove Rows from Data Frame in R Based on Condition WebSo I need a column with 1 when the Temp is greater than 70 and 0 when it is less so I can do a regression using the Temp as a binary variable. R will take the condition statement cfv <- mydata$Temp x <- cfv > 70 for (i in nrow (cfv)) {if (x = TRUE) {1} else if (x = FALSE) {0} but I can't get any further and use it to create a new column. r Share WebMar 20, 2024 · In R, use mutate () to create a new column based on conditions by group Ask Question Asked 5 years, 11 months ago Modified 5 years ago Viewed 7k times Part of R Language Collective 1 For each person, there are two types of visits and for each visits, there are date records. The dataset looks like below. charley henley images