Solving Biological Problems with R

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Description: 1: Getting started with R2: Setting up your R environment, data types and structures, loading and installing packages3:Data exploration:Reading and writing data files, looking into  data, basic graphs and basic statistics4:Introduction to common packages (tidyr,dplyr, ggplot2,reshape2,ggthemes,ggpubr, RColorBrewer, psych,corrplot, Hmisc)5:Statistical tests in R:Statistical tests are applied according to the data and your questions.ANNOVA test is used to test the means of the groups.One-way ANOVATwo-way ANOVATwo-Sample t-TestChi-squared test Wilcoxon test Kruskal-Wallis test Pearson Correlation Test Spearman Correlation Test Kendall Correlation TestFriedman TestMann-Whitney U Test6:Graphics with R:hist() function used to create Histograms.boxplot() function for creating Boxplots.Pie charts can be created by using a simple function pie() stripchart() function can be used for Strip charts.barplot() function used for Bar plots in R.7:Creating reproducible reports in RThis is very important for R code integration and reports. We want to share our reports with Classfellows, collaborators or instructors.Then, the R Markdown file can help us to recognise and compile the basic components of reports.Create the R Markdown file to submit your results in PDF, Word, or HTML using Knit.
Category: Teaching & Academics > Other Teaching & Academics > R (programming language)
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Price: 29.99
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Source: Impact
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