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Solving Biological Problems With R - OneDDL - 01-15-2024 Free Download Solving Biological Problems With R Published 1/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 551.88 MB | Duration: 1h 12m Summarizing Data What you'll learn Understand data types R for everyday data analysis Statistical tests in R Graphics with R Creating reproducible reports in R Requirements No previous programming experience needed. You will perform statistical analyses with R Description 1: Getting started with R2: Setting up your R environment, data types and structures, loading and installing packages3ata 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. Overview Section 1: Introduction Lecture 1 Introduction to R statistical Software Lecture 2 Quick R Section 2: Data types Lecture 3 Data types and Descriptive statistics Lecture 4 Statistical test in R Lecture 5 Practice Data types and statistics Lecture 6 Practice lecturer Section 3: Graphics with R Lecture 7 Graphics with R Lecture 8 Practice Graphs Lecture 9 practice ggplot2 Section 4: Creating reproducible reports in R Lecture 10 R Markdown file Beginners in programming from many field Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live No Password - Links are Interchangeable |