ggplot2 and its extensions examples. lattice-latticeExtra-gridextra packages ref:http://r-statistics.co

1. prepared by VOLKAN OBAN
DATA VİSUALIZATION with R
ggplot2 and Its Extension Examples:

8. theme(panel.background = element_rect(fill = 'paleturquoise'), panel.grid.major = e
lement_line(colour = "purple2", size=3), panel.grid.minor = element_line(colour = "
red4", size=1))

12. corr <- round(cor(mtcars), 2)
df <- reshape2::melt(corr)
gg <- ggplot(df, aes(x=Var1, y=Var2, fill=value, label=value)) + geom_tile() + theme_bw()
+ geom_text(aes(label=value, size=value), color="white") + labs(title="mtcars - Correlation
plot") + theme(text=element_text(size=20), legend.position="none")
library(RColorBrewer)
p2 <- gg + scale_fill_distiller(palette="Reds")
p3 <- gg + scale_fill_gradient2()
gridExtra::grid.arrange(gg, p2, p3, ncol=3)

13. lattice example:

14. Code:
library(semPlot)
library(lavaan)
library(clusterGeneration) #this is to generate a positive definite covariance matrix
#simulate some data
set.seed(1222)
sig<-genPositiveDefMat("onion",dim=5,eta=4)$Sigma #the covariance matrix
mus<-c(10,5,120,35,6) #the vector of the means
data<-as.data.frame(mvrnorm(100,mu=mus,Sigma=sig)) #the dataset
names(data)<-c("CO2","Temp","Nitro","Biom","Rich") #giving it some names
#building an SEM with a latent variable
m<-'Abiot =~ CO2 + Temp + Nitro
Biom ~ Abiot
Rich ~ Abiot + Biom'
m.fit<-sem(m,data)
#the plot
#basic version, the what arguments specify what should be plotted, here we choose to look at the standardized
path coefficients
semPaths(m.fit,what="std",layout="circle")

15. Reference: http://r-statistics.co/
http://r-statistics.co/ggplot2-cheatsheet.html#Annotation
http://www.stat.columbia.edu/~tzheng/files/Rcolor.pdf