Tutorial 7-Correlogram Data Visualization using R and GGplot2, plotting Correlation смотреть онлайн

#R #Rtutorial #Ronlinetraining #correlogram #correlation
Watch till the end to learn the strength of ggplot2

Visualization of correlation using correlogram
This session demonstrates how to plot visualize the correlation between variables using ggplot2. A correlogram is discussed here. data sets used are iris.
Correlograms have been plotted using plot() function of base R, corrgram() function of corrgram package, ggpairs() and ggcor() functions form ggallay package, plotcorr() function of ellipse package and scattermatrix fucntion of car package. Its a thorugh tutorial on corelation plots.
The following code is used in the tutorial.
https://drive.google.com/file/d/1xMqIT8Rg1-9fcUO8EBNhLad2el9LCeWH/view?usp=sharing

# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # ##
# 3. Correlogram # #
###############################################################################
#using plot() function

plot(iris, col="blue")

# corrgram package
install.packages("corrgram")
library(corrgram)

corrgram(iris)

# ellipse with regression line

corrgram(iris,panel=panel.ellipse)

# ellipse on lower panel only
p=corrgram(iris,lower.panel=panel.ellipse)

png("cp.png")
p
dev.off()

#lower panel only
corrgram(iris,lower.panel=panel.shade, upper.panel = NULL)

# ordering as per correlation strength
corrgram(iris,order=TRUE)

#ggally package
install.packages("GGally")
library(GGally)

#using ggpairs() function
ggpairs(iris)

# mapping attribute to a variable
ggpairs(iris, ggplot2::aes(colour=Species))



#using ggcorr() function
ggcorr(iris)

ggcorr(mtcars)

ggcorr(mpg)

ggcorr(diamonds)

#ellipse package
install.packages("ellipse")
library(ellipse)
# it takes correlation matrix as input
cor_iris=cor(iris[1:4])

plotcorr(cor_iris)

#car package
install.packages("car")
library(car)
scatterplotMatrix(~Sepal.Width+Sepal.Length+Petal.Length+Petal.Width|Species, data=iris)