It looks most of the material from epicalc has been moved into epiDisplay. Full ‘ epicalc’ package with data management functions is available at the author’s. Suggests Description Functions making R easy for epidemiological calculation. License GPL (>= 2) URL Epidemiological calculator. Contribute to cran/epicalc development by creating an account on GitHub.

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As the dataset is usually large in epidemiology, calculating even simple statistics like mean or standard deviation is quite cumbersome to be done manually. Inwindows-based version, which was menu driven, was launched and it became very popular among the medical researchers. Please review our privacy policy.

R can be extended via packages. Received Jan 24; Accepted Feb 3. In R, a statistical analysis is normally done as a series epica,c steps, f intermediate results being stored in objects. The learning curve is typically longer than with a graphical user interface GUIalthough it is recognized that the effort is profitable and leads to better practice finer understanding of the analysis; command easily saved and replayed.

Why not ask them? Limitations of R R is provided with a command line interface CLIwhich is the preferred user interface for power users because it allows direct control on calculations and it is flexible.

Index of /ubuntu/archivos/pool/universe/r/r-cran-epicalc

Last accessed on Apr 4]. It includes An effective data handling and storage facility. R software introduction for stat This seems like a well developed and useful packages, so why has it been removed? So many datasets remain unexplored, sometimes forever waiting to be analyzed even by simple exploratory and descriptive data analysis. On one hand, it assists data analysts in data exploration and management. An introduction to R.


Why would you think that we’d know better than the maintainer? Formerly available versions can be obtained from the archive.

Indian J Community Med. Nil Conflict of Interest: Stack Overflow works best with JavaScript enabled. A well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities.

For basic biostatistical and epidemiological purposes Epicalc package is sufficient to start with and then to go on for other packages as and when required.

R is highly extensible through the use of usersubmitted packages for specific functions or specific areas of study. It was first launched as a Disk Operating System DOS based version, which was command driven and difficult to learn by the medical researchers.

Ben Bolker k 11 The steep learning of R is a serious disadvantage which if eased by the introduction of menu driven R can make it more popular among the non-mathematicians dealing with epidemiological data.

This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3. Conclusions Being free of cost, it is surely a boon epicxlc researchers in developing countries and resource scarce institutions The quality of this software in terms of handling large datasets, having hundreds of functions with ever increasing number of add on packages and the neat outputs is also an advantage.


epiDisplay source: demo/es.r

The epiDisplay package eplcalc says:. With the introduction of softwares for statistical computations, things changed and data analysis came to be thought of something within the realm of possibility by epcialc medical researchers. It is important to use the normal precautions that is taken while downloading data on our hard disk.

The other limitation is that, being an open source software, hackers can easily know about the weaknesses or loopholes of the software more easily than closed-source software and so it is more prone to bug attacks. For many, even finding a statistician becomes difficult in their setting.

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r-cran-epicalc package : Ubuntu

R is also a programming language with an extensive set of built-in functions. Go to the link: Frequently asked questions on R. The epiDisplay package information says: Analyzing epidemiological data has always been a matter of concern especially for those researchers who have a background of biological sciences and not of mathematics.