LiteratureLeave a Comment on EPICALC R PDF


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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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. So depending on the type of statistical analytical techniques, one can download the package epidalc. It was first launched as a Disk Operating System DOS based version, which was command driven and difficult to learn by the medical researchers.

Full ‘epicalc’ package with epicxlc management functions is available at the author’s repository. Inwindows-based version, which was menu driven, was launched and it became very popular among the medical researchers.

One can use the nearest with respect to geographical location CRAN mirror to minimize network load. It is important to use the normal precautions that is taken while downloading data on our hard disk.

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Please review our privacy policy. For many, even finding a statistician becomes difficult in their setting. The R Project for statistical computing. Articles from Indian Journal of Community Medicine: R is an environment that can handle several datasets simultaneously. Why was package ‘epicalc’ removed from CRAN? Go to the link: 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.


It looks most of the material from epicalc has been moved into epiDisplay. The epiDisplay package information says:. 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. Nil Conflict of Interest: 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.

By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. R is also a programming language with an extensive set of built-in functions. R is not a typical statistics system but an environment within which statistical techniques are implemented.

I just thought someone would know and indeed Ben Bolker provided the answer. Background 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.

Support Center Support Center. The R Environment R is an integrated suite of software facilities for data manipulation, eicalc and graphical display. This seems like a well developed and useful packages, so why has it been removed?

Stack Overflow works best with JavaScript enabled. Frequently asked questions on R. As the dataset is usually large in epidemiology, calculating even simple statistics like mean or standard deviation is quite cumbersome to be done manually.

Apart from the packages which automatically come with R; there are more than packages available at CRAN. It requires some effort to find which package contains the statistical techniques that we require.


r-cran-epicalc package : Ubuntu

Epi Info is also not suitable for data manipulation for longitudinal studies and its regression analysis facilities cannot cope with dpicalc measures and multilevel modeling. Footnotes Source of Support: But no further explanation is given. R can be extended via packages. But for developing countries, the scenario did not change as expected because of the very high cost of the statistical packages. Why not ask them?

Index of /debian/pool/main/r/r-cran-epicalc/

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. One can write their own code to build their own statistical tools. In R, a statistical analysis is normally done as a series of steps, with intermediate results being stored in objects. R is a relatively new and freely available programing language and software environment for statistical computing and graphics.

Wpicalc well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive epicalf and input and output facilities. The other limitation is that, being an open source software, epicwlc 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.

Received Jan 24; Accepted Feb 3. Many good questions generate some degree of opinion based on expert experience, but answers to this question will tend to be almost entirely based on opinions, rather than facts, references, or specific expertise.