Graphs and Descriptive Statistics with R
The Series 2 of statistics with R video tutorials (Graphs and Descriptive Statistics with R) will walk you through producing descriptive statistics and numeric summaries with R programming language. With these easy to follow R videos you will be able to use R to produce descriptive statistics (plots) and numeric summaries (mean, median, standard deviation and more) for your data and modify and customize those plots.
Here are the R Video Tutorials:
(R Video Tutorial 2.1): Bar Charts and Pie Charts in R: How to create and modify bar charts and pie charts and frequency tables with R programming software to summarize the distribution of a categorical variable.
(R Video Tutorial 2.2): Box Plots and Grouped Boxplots in R: How to produce boxplots and grouped (side by side) boxplots in R for summarizing the distribution of a numeric variable
(R Video Tutorial 2.3): Box Plots with Two Factors (Stratified Boxplots) in R: How to produce stratified boxplots (box plots with two factors) in R to examine the relationship between a categorical variable and a numeric variable within strata or groups defined by a third categorical variable.
(R Video Tutorial 2.4): Histograms in R: How to produce histograms and add density curve to the plot in R to summarize the distribution of a numeric variable.
(R Video Tutorial 2.5): Stem and Leaf Plots in R: How to produce stem and leaf plots in R for summarizing the distribution of a numeric variable ( these plots are most appropriate for smaller datasets)
(R Video Tutorial 2.6): Stacked and Grouped Bar Charts and Mosaic Plots in R: How to produce stacked bar charts, grouped bar charts, and mosaic plots in R to examine the relationship between two categorical variables
(R Video Tutorial 2.7): Scatterplots in R: How to produce scatter plots for numeric variables using R programming language to examine the relationship between two numeric variable
(R Video Tutorial 2.8): Calculating Mean, Standard Deviation and Frequencies in R: How to calculate mean, standard deviation, frequencies, Pearson’s Correlation, Spearman’s Correlation, Covariance and more in R
(R Video Tutorial 2.9): How to Customize and Modify the Look of Plots in R (RStudio): How to modify, enhance and customize plots created in R (RStudio) to change from the default value, like changing the size of axis labels, changing the fonts, changing colour, changing the plotting character, adding the regression line to plots in R, adding points of observation to plots, and more
(R Video Tutorial 2.10): How to Add Text to Plots in R: How to enhance a plots in R (RStudio) by adding some text, customizing the text by changing the font, color, location and more
(R Video Tutorial 2.11): How to Add Legends to Plots in R: How to add a legend to plots in R (RStudio) and change the symbols/characters used in the legend as well as the look and location of the legend
These videos can be used by beginners in R and anyone interested in statistic with R and data science with R. No prior knowledge of R programming is needed, just a passion to learn! But we highly recommend watching the Series 1 of R video tutorials first!
Make sure to use the free datasets provided for you to get some hand on experience while watching the tutorials!
