For Data Science Learners
Filtering for Unique Values in R, Using the dplyr package in R, you may filter for unique values in a data frame using the following methods. Method 1: In one column, filter for unique values. df %>% distinct(var1) Method 2: Filtering for Unique Values in Multiple Columns df %>% distinct(var1, var2) Method 3: In all…
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Crosstab calculation in R, To create a crosstab using functions from the dplyr and tidyr packages in R, use the following basic syntax. df %>% group_by(var1, var2) %>% tally() %>% spread(var1, n) The examples below demonstrate how to utilize this syntax in practice. Control Chart in Quality Control-Quick Guide – Data Science…
Augmented Dickey-Fuller Test in R, If a time series has no trend, constant variance over time, and a consistent autocorrelation structure across time, it is considered to be “stationary.” An augmented Dickey-Fuller test, which uses the following null and alternative hypotheses to determine whether a time series is stationary, is one technique to do so….
droplevels in R with examples, To remove unneeded factor levels, use R’s droplevels() function. This function comes in handy when we need to get rid of factor levels that are no longer in use as a result of subsetting a vector or a data frame. The syntax for this function is as follows droplevels(x) where…
Cumulative Sum calculation in R, using the dplyr package in R, you can calculate the cumulative sum of a column using the following methods. Best online course for R programming – Data Science Tutorials Approach 1: Calculate Cumulative Sum of One Column df %>% mutate(cum_sum = cumsum(var1)) Approach 2: Calculate Cumulative Sum by Group df…
How to Count Distinct Values in R?, using the n_distinct() function from dplyr, you can count the number of distinct values in an R data frame using one of the following methods. With the given data frame, the following examples explain how to apply each of these approaches in practice. Hypothesis Testing Examples-Quick Overview –…
Count Observations by Group in R, want to count the number of observations by the group. Fortunately, the count() function from the dplyr library makes this simple. Using the data frame below, this tutorial shows numerous examples of how to utilize this function in practice. Change ggplot2 Theme Color in R- Data Science Tutorials Count…
How to add columns to a data frame in R?, To add one or more columns to a data frame in R, use the mutate() function from the dplyr package. With the following data frame, the following examples demonstrate how to use this syntax in practice. How to add labels at the end of each…
Remove Columns from a data frame, you may occasionally need to remove one or more columns from a data frame. Fortunately, the select() method from the dplyr package makes this simple. Remove Rows from the data frame in R – Data Science Tutorials library(dplyr) Using the data frame below, this tutorial demonstrates numerous examples of…
Remove Rows from the data frame in R, To remove rows from a data frame in R using dplyr, use the following basic syntax. Detecting and Dealing with Outliers: First Step – Data Science Tutorials 1. Remove any rows containing NA’s. df %>% na.omit() 2. Remove any rows in which there are no NAs in…
