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Two-Proportions Z-Test in R
What is two-proportions z-test?Research questions and statistical hypothesesFormula of the test statisticCase of large sample sizesCase of small sample sizesCompute two-proportions z-test in RR...
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Chi-square Goodness of Fit Test in R
What is chi-square goodness of fit test?Example data and questionsStatistical hypothesesR function: chisq.test()Answer to Q1: Are the colors equally common?Answer to Q2 comparing observed to expected...
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Chi-Square Test of Independence in R
What is chi-square test of independence?Data format: Contingency tablesGraphical display of contengency tablesChi-square test basicsCompute chi-square test in RNature of the dependence between the row...
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RQuery
IntroductionRQuery, the simplified R code! RQuery is a set of R functions allowing you to do your statistical and graphics analysis, quickly and easily. It requires no special knowledge of programming...
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Preparing and Reshaping Data in R for Easier Analyses
#rdoc .course_material a{font-size:1.5em;} #rdoc .readmore a{font-size:1em;}Previously, we described the essentials of R programming and provided quick start guides for importing data into R. The next...
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Bar plot of Group Means with Individual Observations
Example data setsInstall ggpubrBar plot of group means with individual informationsggpubr is great for data visualization and very easy to use for non-“R programmer”. It makes easy to simply produce an...
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Assessing clustering tendency: A vital issue - Unsupervised Machine Learning
1 Required packages2 Data preparation2.1 faithful dataset2.2 Random uniformly distributed dataset3 Why assessing clustering tendency?4 Methods for assessing clustering tendency4.1 Hopkins...
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Hybrid hierarchical k-means clustering for optimizing clustering outputs -...
1 How this article is organized2 Required R packages3 Data preparation4 R function for clustering analyses4.1 Example of k-means clustering4.2 Example of hierarchical clustering5 Combining hierarchical...
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Survival Analysis Basics
Survival analysis corresponds to a set of statistical approaches used to investigate the time it takes for an event of interest to occur.Survival analysis is used in a variety of field such as:Cancer...
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Cox Proportional-Hazards Model
The Cox proportional-hazards model (Cox, 1972) is essentially a regression model commonly used statistical in medical research for investigating the association between the survival time of patients...
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Cox Model Assumptions
Previously, we described the basic methods for analyzing survival data, as well as, the Cox proportional hazards methods to deal with the situation where several factors impact on the survival...
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survminer 0.2.4
I’m very pleased to announce survminer 0.2.4. It comes with many new features and minor changes.Install survminer with:install.packages("survminer")To load the package, type...
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Survival Analysis
Survival analysis corresponds to a set of statistical methods for investigating the time it takes for an event of interest to occur.In this chapter, we start by describing how to fit survival curves...
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Practical Guide to Cluster Analysis in R - Book
IntroductionLarge amounts of data are collected every day from satellite images, bio-medical, security, marketing, web search, geo-spatial or other automatic equipment. Mining knowledge from these big...
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Text mining and word cloud fundamentals in R : 5 simple steps you should know
Text mining methods allow us to highlight the most frequently used keywords in a paragraph of texts. One can create a word cloud, also referred as text cloud or tag cloud, which is a visual...
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Factoextra R Package: Easy Multivariate Data Analyses and Elegant Visualization
factoextra is an R package making easy to extract and visualize the output of exploratory multivariate data analyses, including:Principal Component Analysis (PCA), which is used to summarize the...
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survminer 0.3.0
I’m very pleased to announce that survminer 0.3.0 is now available on CRAN. survminer makes it easy to create elegant and informative survival curves. It includes also functions for summarizing and...
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Survminer Cheatsheet to Create Easily Survival Plots
We recently released the survminer verion 0.3, which includes many new features to help in visualizing and sumarizingsurvival analysis results.In this article, we present a cheatsheet for survminer,...
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fastqcr: An R Package Facilitating Quality Controls of Sequencing Data for...
IntroductionHigh throughput sequencing data can contain hundreds of millions of sequences (also known as reads).The raw sequencing reads may contain PCR primers, adaptors, low quality bases, duplicates...
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