For Data Science Learners
How to Scale Only Numeric Columns in R, To scale only the numeric columns in a data frame in R, use the dplyr package’s following syntax. Best Books to learn Tensorflow – Data Science Tutorials library(dplyr) df %>% mutate(across(where(is.numeric), scale)) How to actually use this function is demonstrated in the example that follows. Use dplyr…
Add new calculated variables to a data frame and drop all existing variables, I hope you enjoyed reading about the dplyr package magics in earlier posts, here is the last update while using dplyr package. With R’s transmute() function, you can drop all of the existing variables and add new calculated variables to a data…
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How to apply a transformation to multiple columns in R?, To apply a transformation to many columns, use R’s across() function from the dplyr package. How to apply a transformation to multiple columns in R? There are innumerable applications for this function, however, the following examples highlight some typical ones: First Approach: Apply Function to…
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How to change the column positions in R, you can rearrange the columns in a data frame by using the relocate() function from the dplyr package. The following techniques can be used to alter the column positions. Method 1: Move One Column to Front move ‘x’ column to the front df %>% relocate(x) Method 2:…
Subset rows based on their integer locations, R has the slice() function, which allows you to subset rows according to their integer places. Statistical test assumptions and requirements – Data Science Tutorials The following techniques can be used to subset specific rows in a data frame: Approach 1: Subset One Particular Row get row 3…
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How to do Conditional Mutate in R, It’s common to wish to add a new variable based on a condition to an existing data frame. The mutate() and case when() functions from the dplyr package make this task fortunately simple. Cumulative Sum calculation in R – Data Science Tutorials With the following data frame, this…
How to Use Mutate function in R, This article demonstrates how to add additional variables to a data frame using R’s mutate() function. Artificial Intelligence Examples-Quick View – Data Science Tutorials How to Use Mutate function in R The dplyr library has the following functions that can be used to add additional variables to a…
Convert Multiple Columns to Numeric in R, Using the dplyr package, you can change many columns to numeric using the following techniques. The examples that follow demonstrate each technique in action. Calculate the p-Value from Z-Score in R – Data Science Tutorials Example 1: Convert Specific Columns to Numeric Let’s say we have the R…
How to Rank by Group in R?, The basic syntax for ranking variables by the group in dplyr is as follows. The examples that follow with the given data frame demonstrate how to utilize this syntax in practice. 5 Free Books to Learn Statistics For Data Science – Data Science Tutorials Let’s create a data…
How to Calculate Lag by Group in R?, The dplyr package in R can be used to calculate lagged values by group using the following syntax. Subsetting with multiple conditions in R – Data Science Tutorials df %>% group_by(var1) %>% mutate(lag1_value = lag(var2, n=1, order_by=var1)) The data frame containing the lagged values gains…
