Table of Contents

## How do I use R commander on Mac?

R Commander Installation Notes

- Download R from CRAN and install it in the manner appropriate to your operating system.
- On macOS only, download and install XQuartz, and reboot your computer (see the Mac notes below for greater detail).
- Start R, and at the > command prompt, type the command install.packages(“Rcmdr”)

**What is the difference between RStudio and R Commander?**

RStudio is an integrated development environment (IDE) for R. It’s basically a nice front-end for R, giving you a console, a scripting window, a graphics window, and an R workspace, among other options. R Commander is a basic graphical user interface (GUI) for R.

### What is the use of R Commander?

R commander was developed as an easy to use graphical user interface (GUI) for R (freeware statistical programming language) and was developed by Prof. John Fox to allow the teaching of statistics courses and removing the hindrance of software complexity from the process of learning statistics.

**What is Rcmdr package?**

Rcmdr-package. R Commander. Description. A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.

#### How do I load data into R Commander?

Steps to Import Data in R Commander:

- Start R program by clicking on the R icon or R in the programs.
- Step2: Open the R commander program. At the prompt, type ‘Rcmdr’ and press return.
- In the R menu click on Data–> Import Data –> From text file. The above steps will lead to a dialogue box as shown below:

**How do I add data to R Commander?**

## Where does R install packages on Mac?

The home location for R packages from the Mac finder on my machine is “desktop/Macintosh HD/Library/Frameworks/R. framework/Resources/library/”. Within library you will see all the packages that you have downloaded, and installed.

**How do I download R and RStudio on Mac?**

One Mac you need to go to the CRAN website, https://www.r-project.org/ to install the newer package installer. Updating RStudio is easy, just go to Help > Check for Updates to install newer version.

### How do I import a CSV file into RStudio?

In RStudio, click on the Workspace tab, and then on “Import Dataset” -> “From text file”. A file browser will open up, locate the . csv file and click Open. You’ll see a dialog that gives you a few options on the import.

**What is R command?**

In RStudio, this command line interaction occurs in the command console. R is an interpreted programming language. This means that R will interpret each line of code as it is entered and, if it is valid, R will execute it, returning the result in the command console.

#### How do I open GUI in R?

Start R by double-clicking on the R icon on the desktop, or by clicking on the R icon in the start menu. The R graphical user interface (GUI) will open, containing a single window called the command or console window.

**How to create histogram in R?**

In this article, you’ll learn to use hist () function to create histograms in R programming with the help of numerous examples. Histogram can be created using the hist () function in R programming language. This function takes in a vector of values for which the histogram is plotted.

## What is a break in R histogram?

Breaks in R histogram Histograms are very useful to represent the underlying distribution of the data if the number of bins is selected properly. However, the selection of the number of bins (or the binwidth) can be tricky: Few bins will group the observations too much.

**What is a histogram for more ARG?**

Above code plots, a histogram for the values from the dataset Air Passengers, gives the title as “Histogram for more arg” , the x-axis label as “Name List”, with a green border and a Yellow color to the bars, by limiting the value as 100 to 600, the values printed on the y-axis by 2 and making the bin-width to 5.

### How to create a histogram with the ggplot2 package?

You could also add the normal or density curve to the previous plot. In order to create a histogram with the ggplot2 package you need to use the ggplot + geom_histogram functions and pass the data as data.frame. In the aes argument you need to specify the variable name of the dataframe.