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You can use the following methods to subset a data frame by multiple conditions in R: Method 1: Subset Data Frame Using “OR” Logic. This particular example will subset the data frame for rows where the team column is equal to ‘A’ or the points column is less than 20. Method 2: Subset Data Frame Using “AND” Logic.
I have a data.frame in R. I want to try two different conditions on two different columns, but I want these conditions to be inclusive. Therefore, I would like to use "OR" to combine the conditions. I have used the following syntax before with lot of success when I wanted to use the "AND" condition.
In this blog post, we learned three different methods for subsetting data frames in R by multiple conditions. Whether you prefer base R’s subset() function, dplyr’s filter() function, or data.table’s syntax, there are multiple ways to achieve the same result.
In R, subsetting can be performed in various ways and the complexity can range from simple operations, like filtering rows based on a single condition, to more intricate operations involving multiple conditions and variables. This comprehensive guide will walk you through the steps to subset a data frame in R based on multiple conditions ...
In R, to subset the data frame based on multiple conditions, you can use the df[] notation, the subset() function from the base package, or the filter() function from the dplyr package. I will explore multiple ways to subset the R data frame in this article by various conditions.
I would suggest: data[data$Analyte =="ATRAZINE". & as.POSIXlt(data$Date, format="%m/%d/%Y")$year == 106] But if you really had to do regexp matching, you could use grepl which returns a logical vector rather than grep which returns a vector of indices.
All the conditions must evaluate to FALSE for the statement to evaluate to FALSE. With & a single FALSE condition will make the whole statement evaluate to FALSE. If you want to use or, you can use exclusive or: xor like so: subset(my.df, xor(xor(my.df$v1 != "b", my.df$v1 != "d"), my.df$v1 != "e")). –