R statistical programming related stuff
Here are two simple steps to extract year from date in R. If you read the full post you will find out how to get year from date from also a vector, and a dataframe.
How to Extract Year from Date in R with Examples Read More »
In this post, you will learn how to: 1) add an empty column using base R and tibble (i.e., add_column()); 2) add multiple columns.
How to Add an Empty Column to a Dataframe in R (with tibble) Read More »
In this post you will learn how to extract day from datetime in #RStats.
How to Extract Day from Datetime in R with Examples Read More »
In this post, you will learn how to extract time from date in R. First, you will learn how to do it when stored in a vector and, then, from column in dataframe.
How to Extract Time from Datetime in R – with Examples Read More »
In this tutorial, we will learn how to create dummy variables in R. Now, creating dummy/indicator variables can be carried out in many ways. For example, we can write code using the ifelse() function, we can install the R-package fastDummies, and we can work with other packages and functions (e.g. model.matrix). In this post, however,
How to Create Dummy Variables in R (with Examples) Read More »
In this short tutorial, we will learn how to use the repeat and replicate functions in R. These two functions, repeat and replicate, are two very useful functions.
How to use the Repeat and Replicate functions in R Read More »
Here you will learn how to load .dta files in R. That is, you will learn how to read Stata files in R. After this, you will learn how to save dataframes (and .csv and xlsx files) as .dta files.,
How to Read and Write Stata (.dta) Files in R with Haven Read More »
Here you will learn how to remove a column in R. More specifically, we will learn how to remove many columns, also (as well as one column). First, we learn how to remove columns by names and indexes. Then we learn how to remove columns that contains certain letters (either start with, end with, or just contain them).
How to Remove a Column in R using dplyr (by name and index) Read More »
In this post, we will learn how to calculate summary statistics in R. Specifically, we will learn how to calculate the standard deviation, mean (trimmed, harmonic, geometric), variance, IQR, quantiles. etc. We will learn how to save the summary statistics as latex (so we can output it to a nice table in a PDF, for instance), and how to save it as a csv file.
How to Calculate Descriptive Statistics in R the Easy Way with dplyr Read More »
In this post, you will learn how to read and write SPSS files. More specifically, you will learn how to use Haven and Foreign to read SPSS files. Finally, you will also learn how to load CSV & Excel files and save them as SPSS files.
How to Read & Write SPSS Files (.sav) in R Statistical Environment Read More »