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 a relatively new and freely available programing language and software environment for statistical computing and graphics. 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.
Index of /debian/pool/main/r/r-cran-epicalc/
Received Jan 24; Accepted Feb 3. 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.
It requires some effort to find which package contains the statistical techniques that we require. Formerly available versions can be obtained from the archive.
Conclusions Being free of cost, it is surely a boon epicwlc 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.
The steep learning of R is a serious disadvantage which if eased by the introduction of menu driven R can epocalc it more popular among the non-mathematicians dealing with epidemiological data. R is not a typical statistics system but an environment within which statistical techniques are implemented. Epi Info is also not suitable for data manipulation for longitudinal studies and its regression analysis facilities cannot d with repeated measures and multilevel modeling.
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. Author information Article notes Copyright and License information Disclaimer. It looks most of the material from epicalc has been moved into epiDisplay. On one hand, it assists data analysts in data exploration and management. Apart from the packages which automatically come with R; there are more than packages available at CRAN.
There is an important difference between R and the other main statistical systems. As the dataset is usually large in epidemiology, calculating even simple statistics like mean or standard deviation is quite cumbersome to be done manually. R can be extended via packages. Why not ask them?
Package: r-cran-epicalc (18.104.22.168-1)
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. R is an environment that can handle several datasets simultaneously. R is highly extensible through the use of usersubmitted packages for specific functions or specific areas of study.
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 the medical researchers.
It dpicalc An effective data handling and storage facility. The R Project for statistical computing. The other limitation is that, being an open source software, hackers can easily know about the weaknesses or epicwlc of the software more easily than closed-source epucalc and so it is more prone to bug attacks.
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. Inwindows-based version, which was menu driven, was launched and it became very popular among the epicaalc researchers.
[R] Epicalc package
Epicalc Package Epicalc, an add-on package of R enables R to deal more easily with epidemiological data. It is important to use the normal precautions that is taken while downloading data on our hard disk.
The ‘epicalc’ R Package
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. Epicalc, an add-on package of R enables R to deal more easily with epidemiological data.
In R, a statistical analysis is normally done as a series of steps, with intermediate results being stored in objects. But no further explanation is given.