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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But no further explanation is given. Author information Article notes Copyright and License information Disclaimer. One can use the nearest with respect to geographical location CRAN mirror to minimize network load. On the other hand, it has the potential to help young epidemiologists to learn the key terms and concepts based on numerical and graphical results of the analysis.

Epicalc, an add-on package of R epicapc R to deal more easily with epidemiological data. I understand, my point is merely that I think it would be considered both more polite and in general more accurate to inquire with the package maintainer first on matters like these.

Why would you think that we’d know better than the maintainer? One can write their own code to build their own statistical tools.

r – Why was package ‘epicalc’ removed from CRAN? – Stack Overflow

It is important to use the normal precautions that is taken while downloading data on our hard disk. This article has been cited by other articles in PMC. Epicalc Package Epicalc, an add-on package of R enables R to deal more easily with epidemiological data. Spicalc asked questions on R. This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.


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. Also the graphing facilities are limited. R can be epical via packages.

Indian J Community Med.

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

R is highly extensible through the use of usersubmitted packages for specific functions or specific areas of study. This seems like a well developed and useful packages, so why has it been removed?

Epocalc the introduction of softwares for statistical computations, things changed and data analysis came to be thought of something within the realm of possibility by the medical researchers. Khan Amir Maroof, Room No.

Why was package ‘epicalc’ removed from CRAN? In R, a statistical analysis is normally done as a series of epiclac, with intermediate results being stored in objects. Being free of cost, it is surely a boon for 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.

Please review our privacy policy. R is not a typical statistics system but an environment within which statistical techniques are implemented.

So many datasets remain unexplored, sometimes forever waiting to be epidalc even by simple exploratory and descriptive data analysis. R is an environment that can handle several datasets simultaneously.

It looks most of the material from epicalc has been moved into epiDisplay. Footnotes Source of Support: The other limitation is that, being an open source software, hackers can easily know about the weaknesses e loopholes of the software more easily than closed-source software and so it is more prone to bug attacks.

On one hand, it assists data analysts in data exploration and management. R software introduction for stat One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.


Analysis of Epidemiological Data using R and Epicalc

CLI is thus intimidating for beginners. The R Environment R is an integrated suite of software facilities for data manipulation, calculation and graphical display. Support Center Support Center.

Thus whereas SAS and SPSS will give all the details in the output from a regression or discriminant analysis, R will give the desired and minimal output and store the results in a fit object for subsequent interrogation by further R functions.

Received Jan 24; Accepted Feb 3. As R is command driven, learning R will by default make the user to attempt to understand what is going on in the analysis and thus learn the details of biostatistics and epidemiology. It was first launched as a Disk Operating System DOS based version, which was command driven and difficult to learn by the medical researchers.

So depending on the type of statistical analytical techniques, one can download the package required. 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. As the dataset is usually large in epidemiology, calculating even simple statistics like mean or standard deviation is quite cumbersome to be done manually.

Articles from Indian Journal of Community Medicine: R is also a programming language with an extensive set of built-in functions.