This video is part of 19 of R programming full tutorials for beginners. And more focus of this video is put on matrix in R programming.

Section 1 Get started with R environment
Introduction and outline
Introduction of R, Installation of R and RStudio
Get started working R
Working with R packages
Simple example



Section 2 R data structure, create datasets
Introduction-R data structure Vector
Matrix
Array
Data frame
Factor
List
Create dataset,data input csv file(read table, read csv)
Using with()
Object functions
Tibble
Reading Excel file in R
data.frame() and as.data.frame()
create, index and modify Data Frame
create, index and modify list
Generating Vector and Matrix of Random Numbers in R







Section 3 Basic data management
A working example
Creating new variables
Recoding variables
Renaming variables
Handling missing value
Date values
Type conversion
Sorting data
Merging datasets
Subsetting datasets
Data analysis with() Function
Modify dataframes transform() Function
with() and within()
Get Exclusive Elements between Two Objects in R Programming – setdiff() Function,
Intersection of Two Objects in R Programming – intersect() Function


Section 4 Advanced data management
An Working example
R mathematical functions
Statistical functions
Probability functions
Character functions
Using Apply functions
Solution to Working example
control flow
Create your own function
Transposing data object
Aggregating data
Descriptive statistics
sample() function
Data Wrangling in R Programming – Data Transformation
Data Handling in R Programming
Table function family: table(),xtabs(),prop.table, margin.table,ftable
Data Reshaping in R Programming






Section 5 Using R graphic ggplot2
Introduction of ggplot2
Start building a graph
Add Geoms in ggplot()
Using Grouping
Using Scales
Using Facets
Formulate Labels
Formulate Themes
Graphs as objects
Saving graphs
Bar charts
Pie charts
Histograms
Box plots
Kernel density plots
Violin Plots
Scatter plots
Dot plots
Stem and Leaf Plots
Tree maps
Lollipop
Diverging Bars
Colorful Display of Categorical/Character Frequencies
Nested Pie Chart using plotly
Bubble Plot
step chart
Heatmap
Creating a cumulative step graph in R
Creating 3D Plots in R Programming – persp() Function
3D bubble plot in R
3D plot with rgl package in R



#rstudio
#rprogramming
#rstats
#dataframe
#rdatacode

свернуть