Lastest published articles




fastqcr: An R Package Facilitating Quality Controls of Sequencing Data for Large Numbers of Samples




Introduction High 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 ...

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 sumarizing survival analysis results. In this article, we present a ...

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 summariz...

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 ...

Practical Guide to Cluster Analysis in R - Book




Introduction Large amounts of data are collected every day from satellite images, bio-medical, security, marketing, web search, geo-spatial or other automatic equipment. Mining knowledge f...

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 this: li...

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 surv...

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 ...

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 variet...

Chi-Square Test of Independence in R




The chi-square test of independence is used to analyze the frequency table (i.e. contengency table) formed by two categorical variables. The chi-square test evaluates whether there is a ...

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