5/3/2023 0 Comments R&r studioIn order to regain the nearly original and natural shape of the data frame, R cast() function is used. Having created the data frame, we apply the melt() function on the data frame with respect to the column A and B. In this example, we would be making use of libraries ‘MASS, reshape2, and reshape’. The ID parameter is set to the column names of the data frame with respect to which the reshaping would happen. We pass the data frame to the reshaped to the function along with na.rm = FALSE as the default value which means the NA values won’t be ignored.įurther, we pass the new variable/column name to value.name parameter to store the elongated values obtained from the function into it. Syntax: melt (data -frame, na.rm = FALSE, value.name = “name”, id = 'columns' ) It organizes the data values in a long data frame format. It enables us to reshape and elongate the data frames in a user-defined manner. The melt() function in R programming is an in-built function. Let’s understand both the functions in detail. Working with the R melt() and cast() functions The R melt() and cast() functions help us to reshape the data within a data frame into any customized shape. Hello, readers! In this article, we would be having a look at an important concept of R programming - Reshaping data using R melt() and cast() functions, in detail.
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