R - Coding, Generate a Basic Fatality Chart in U.S. States

RyanJBridglal — Sun, 03 Sep 2023 06:32:29 +0000

R - Coding, Generate a Basic Fatality Chart in U.S. States RyanJBridglal Sun, 09/03/2023 - 06:32

Ensure:

TidyVerse is installed.
Dslabs is installed.

R - Script:

library(tidyverse)
library(dslabs)
data(murders)

murders%>%
ggplot(aes(population, total, label=abb, color=region)) + geom_label()

If you use the print command from the console.....

print (murders)

Blog comments

Blog tags

R Programming

Machine Learning

R Programming, Fatality Chart

How to Install R on Ubuntu

RyanJBridglal — Wed, 30 Aug 2023 05:55:08 +0000

How to Install R on Ubuntu RyanJBridglal Wed, 08/30/2023 - 05:55

How to Install R on Ubuntu

Install R from Ubuntu repositories. The installation process is simple and requires only a few steps. However, since the default Ubuntu libraries are not updated as frequently as the CRAN repositories, there is a possibility of installing an older version of R.

To install R from the Ubuntu repository:

1. Open the terminal and update the apt package lists:

sudo apt update

2. Install the R base package and its dependencies using the following command:

sudo apt install r-base r-base-dev -y

The r-base-dev package enables users to install new packages using the install.packages() function within the R console.

3. Type R and hit enter to verify that R has been installed:

R

You will get the following syntax!

ryan@ROGVB:~$ R

R version 4.1.2 (2021-11-01) -- "Bird Hippie"
Copyright (C) 2021 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

Natural language support but running in an English locale

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

Blog comments

Blog tags