Category: R

McNemar’s test in R, McNemar’s test to see the effect of some treatment, training, or advertisement which brings about the changes in the attitude of individuals. This test is mainly useful when the measurements...

when we have a dataset and to get clear idea about each parameter the summary of a variable is important.

Summarized data will provide the clear idea about the data set.

In this tutorial we are going to talk about summarize () function from dplyr package.

In this tutorial, we are going to cover how to work with files and folders in R.

Working with the current directory, Unless you specify it otherwise, all documents can be studied and stored in the operating directory.

Therefore, the primary element you want to understand is the way to get and set up your operating directory.

In this tutorial we are going to discuss DT package from R.

DT stands for data tables and datatable() is the main function of DT package.

datatable() is completely different from data.table() function

DT package is very easy to use and based on this package can filter, search export data into different formats easily.

How to find dataset differences in R?

When the pieces of information are changing between datasets it’s a difficult task to identify the same.

Daff package helps us to identify the differences and visualize them in a beautiful way.

Stringr in r data manipulation Tips and Tricks, In this tutorial we are going to discuss useful functions and expressions in stringr package.

Variety of functions available in stringr package but we are going cover only important functions in our day-to-day data analysis.

apply family in r contains apply(), lapply(), sapply(), mapply() and tapply().
One of the big questions is how and when to use these functions?
The answer is simple it depends on the structure of your data set and how you want the outcome.

pipe operator in R comes from the “magrittr” package. What does the pipe operator do? The purpose is to lower improvement time and to enhance clarity and maintainability of code. Packages in “tidyverse” load...

Wilcoxon Signed Rank Test in R, Wilcoxon Signed Rank Test is based on the direction of differences and magnitudes. This test is more sensitive and powerful than an ordinary sign test. The ordinary sign...

filtering data in r, In this tutorial describes how to filter or extract data frame rows based on certain criteria.

It’s the process of getting your raw data transformed into a format that’s easier to work with for analysis.

In this tutorial, you will learn the filter R functions from the tidyverse package.