Documenting R Code and Output using R Markdown смотреть онлайн

R markdown is a simple and efficient tool for integrating R code, results, and prose into a shareable document. It aids in the creation of reproducible data analysis reports that can be exported to a variety of formats such as PDF, Word, HTML slides, and others. R markdown simplifies documenting your work for R beginners. Simply write in markdown (a simple formatting syntax) and insert R code chunks between the text. When you knit the document, the R code is executed and the output is included in the final document. This automation saves a lot of time and effort. R markdown allows you to concentrate on the code and the writing, rather than the formatting and presentation. R markdown is the ideal tool for beginners to create professional, and shareable documents because of its simplicity and power.
In this particular video, we explore only the skill of documenting the R-works.

The R-codes are as follows:

#installing packages for Markdown
#install.packages("rmarkdown")
#install.packages("knitr")
#install.packages("tinytex")

#packages for GGplot and correlation
#calling the libraries
library(stats4)
library(reshape2)
library(ggplot2)
#inviting the data set
data = read.csv("Dataset.csv", header = TRUE)
#View(data)

##correlation
corr = cor(data)
corr
#correlation graph
heatmap = ggplot(data = melt(corr), aes(Var1, Var2, fill = value)) +
geom_tile() +

scale_fill_gradient2(low = "white", mid = "pink", high = "darkred",
midpoint = 0, limit = c(-1,1), space = "Lab") +

theme(axis.text.x = element_text(angle = 90)) +

ggtitle("Correlation Heatmap") +
theme(
plot.title = element_text(face = "bold", hjust = 0.5),
axis.text.x = element_text(angle = 90)
) +
xlab("") +
ylab("")

heatmap

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