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R programming 6 hours part 8

This video is part of 8 of R programming full tutorials for beginners. And more focus of this video is put on Using with() function in R programming. Contents: 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