How to do linear regression quickly with R

Check https://pythonforscientist.blogspot.com/2021/ for reference

Data set in https://cutt.ly/BEQUlnA 

>>>lin_reg <- lm(file_car$dist~file_car$speed)

#code above creates linear regression lm(y~x)

>>>lin_reg

>>> plot(file_car$speed,file_car$dist)

The plot code produces next graph that follows linear regression

To plot the line and see how it fits the values we wrote the code

>>>abline(lin_reg)

How to quickly begin with R

 go to   https://cutt.ly/BEQUlnA for downloading the csv file.  

#comments after the hash #

#Download the csv to process the data and begin with your use of R

The commands are shown after the ">>>" you do not need to wirte the ">>>" just "getwd()"

another useful command is "dir()" this shows all folders and files on the current folder

#getwd() shows where the working directory of R is located

>>>getwd()

>>>file_car <- read.csv('cars.csv')

>>> head(file_car)

  X speed dist

1 1     4    2

2 2     4   10

3 3     7    4

4 4     7   22

5 5     8   16

6 6     9   10

>>>summary(file_car)

#head shows the first entry rows and its variables 

#tail shows the last rows showing the respective columns

#summary gives a general mean and median of all data

###conclusion and Notes

"Overall R is a powerful language tailored for statisticians and data scientist you can begin with this easy blog in following projects and tutorials I will explain more to use the full capacities and uses for your application. Welcome to the R world and enjoy your journey." 

Notes the R software here is an open source that is why is very widespread and attractive

R has a more visual interface GUI that will be shown in future tutorials

How to make a simple multilinear regresion model with R.

 We will use the dataset from https://drive.google.com/file/d/0BxQfpNgXuWoIWkl4M3dMZDFtUkU/view

Step 1

we call the dataset lungcap.csv

Step2

>>> file<-read.delim("C:/Users/Owner/Downloads/lungcap.csv", header=TRUE, sep = ',')

>>> attach(file)    # this appends the header variables like Age, Gender, ....

Step3

The model is below

>>> model1 <- lm(LungCap ~ Age + Height)

>>> summary(model1)

 How to train your model and test the accuracy

 How to install tensorflow easily in ubuntu

Step 1

go to tensorflow install 

Type 

>>>python3 --version

# this checks the version of python

>>>pip3 --version

if not installed pip then type

sudo python install pip

Step 2

sudo apt update

sudo apt install python3-dev python3-pip python3-venv

The commands above are for Linux and they update the system and install python libraries

Step 3

Enter command 
python3 -m venv --system-site-packages ./venv

       

        #The command above installs a virtual environment

Step 4

Enter command 

# this command activates the virtual environment

source ./venv/bin/activate  # sh, bash, or zsh

Step 5

pip install --upgrade pip

pip list  # show packages installed within the virtual environment

Step 6

pip install --upgrade pip

pip list

command above update the pip package

Step 6

pip install --upgrade tensorflow

command above install tensorflow library

                        

Step 7

Congrats you installed it

Troubleshoot 

pip not found

install pip     

sudo apt install pip