Statistical Packages for Data AnalysisThe steps for installing data analysis add-in in MS Excel, using Master and gadgets of Epi-info have been described.doi:10.1007/978-981-13-0890-1_26K.T.HarichandrakumarN.RavishankarN.SreekumaranNair
Meta-analysis for correlations Do-file Editor: Autocompletion, templates, and moreLatest Colors by variable for more graphs More Stata is statistical software for data science Master your data Broad suite of statistical features Publication-quality graphics ...
2002. "An examination of statistical software packages for categorical data analysis using exact methods." The American Statistician 56:235-246.Oster R (2002). "An Examination of Statistical Software Packages for Categorical Data Analysis Using Exact Methods." The American Statistician, 56(3), 235...
An Examination of Statistical Software Packages for Categorical Data Analysis Using Exact Methods-Part II This statistical computing software review is a continuation of one that appeared in the August 2002 issue of The American Statistician. Three statistical ......
In this chapter, we introduce some new packages: The tidyverse“umbrella” (Wickham 2023) package. Recall from our discussion in Section 4.4 that loading the tidyverse package by running library(tidyverse) loads the following commonly used data science packages all at once: ggplot2 for data ...
Step-by-step guidance is given for ensuring that a biomarker analysis is not reproducible and does not provide clinically useful information. Oct 6, 2022 Frank Harrell 15 min R Workflow 2022 data-science graphics r reproducible An overview of R Workflow, which covers how to use ...
The Comprehensive R Archive Network (CRAN) (http://cran.r-project.org/) has a number of statistical packages for multistate analysis of event histories (multistate survival analysis). These packages focus on statistical inference, i.e. the estimation of transition rates and transition ...
Cluster algorithms are gaining in popularity in biomedical research due to their compelling ability to identify discrete subgroups in data, and their increasing accessibility in mainstream software. While guidelines exist for algorithm selection and outc
R Data Import/Export: A very useful description of how to read and write various external data formats. R Installation and Administration: Hints for installing R on special plat- forms. Writing R Extensions: The authoritative source on how to write R pro- grams and packages. Both printed and...
Needed packages Let’s load all the packages needed for this chapter (this assumes you’ve already installed them). Recall from our discussion in Section 4.4 that loading the tidyverse package by running library(tidyverse) loads the following commonly used data science packages all at once: ...