You may use str() in order to check the data type of each DataFrame column in R: str(dataframe_name) Next, you’ll see a simple example with the steps to: Create a DataFrame in R; and Check the data type of each column in the DataFrame Steps to Check the Data Type of each DataFrame Column in … Read more
You can use the writexl package in order to export your DataFrame to Excel in R: library(“writexl”) write_xlsx(the dataframe name,”path to store the Excel file\\file name.xlsx”) Steps to Export a DataFrame to Excel in R Step 1: Install the writexl package You may type the following command in the R console in order to install … Read more
You can add R to Jupyter Notebook by typing the following command in the Anaconda Prompt: conda install -c r r-irkernel Here are the full steps to add R to Jupyter Notebook. Steps to Add R to Jupyter Notebook Step 1: Open the Anaconda Prompt To start, open the Anaconda Prompt. You’ll then see the … Read more
Looking to import an Excel file into R? If so, you’ll see the full steps to import your file using the readxl package. To start, here is a template that you can use to import an Excel file into R: library(“readxl”) read_excel(“Path where your Excel file is stored\\File Name.xlsx”) And if you want to import … Read more
In general, you can use the following template to install a package in R: install.packages(“package_name”) For demonstration purposes, you’ll see how to install the readxl package. This package is used to import Excel files into R. The same steps that will be reviewed can be used to install other packages in R as well. Steps … Read more
In this short guide, you’ll see an example of multiple linear regression in R. Here are the topics to be reviewed: Collecting and capturing the data in R Checking for linearity Applying the multiple linear regression model in R Steps to apply the multiple linear regression in R Step 1: Collect and capture the data … Read more
Generally speaking, you may use the following template in order to create a DataFrame in R: first_column <- c(“value_1”, “value_2”, …) second_column <- c(“value_1”, “value_2”, …) df <- data.frame(first_column, second_column) Alternatively, you may apply this syntax to get the same DataFrame: df <- data.frame (first_column = c(“value_1”, “value_2”, …), second_column = c(“value_1”, “value_2”, …) ) … Read more
Here is a template that you may use to export a DataFrame to CSV in R: write.csv(DataFrame Name, “Path to export the DataFrame\\File Name.csv”, row.names=FALSE) And if you want to include the row.names, simply change it to TRUE. In the next section, you’ll see an example with the steps to export your DataFrame. Steps to … Read more
In this short guide, you’ll see how to import a CSV file into R. To begin, here is a template that you may apply in R in order to import your CSV file: read.csv(“Path where your CSV file is located on your computer\\File Name.csv”) Let’s now review a simple example. Example used to import a CSV … Read more
