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.
|Published (Last):||21 April 2004|
|PDF File Size:||10.23 Mb|
|ePub File Size:||9.71 Mb|
|Price:||Free* [*Free Regsitration Required]|
In R, a statistical analysis is normally done as a series of steps, with intermediate results being stored in objects.
However, good knowledge of the language is required. Khan Amir Maroof, Room No. 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.
Epicalc, written by Virasakdi Chongsuvivatwong of Prince of Songkla University, Hat Yai, Thailand has been well accepted by members of the R core-team and the package is downloadable from CRAN which is mirrored by 69 academic institutes in 29 countries.
CRAN – Package epiDisplay
Frequently asked questions on R. Support Center Support Center. Epicalc, an add-on package of R enables R to deal more easily with epidemiological data.
The main advantage of using this package is that it gives rise to display which is more understandable by most epidemiologists. R is an environment that can handle several datasets simultaneously. Thus whereas SAS and SPSS will give all eicalc 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.
Apart from the packages which automatically come with R; there are more than packages available at CRAN. CRAN does not have Windows systems and therefore cannot check for viruses. National Center for Biotechnology InformationU.
So depending on the type of statistical analytical techniques, one can download the package required. 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.
As the dataset is usually large in epidemiology, calculating even simple statistics like mean or standard deviation is quite cumbersome to be done manually.
Epicalc Package Epicalc, an add-on package of R enables R to deal more easily with epidemiological data. R software introduction for stat 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.
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. 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.
[R] Epicalc package
Many good questions generate some degree of opinion based on expert experience, but answers to this question will tend to be almost entirely based epicalcc opinions, rather than facts, references, or specific expertise. 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.
Ben Bolker k 11 Why was package ‘epicalc’ removed from CRAN? It is important to use the normal precautions that is taken while downloading data on our hard disk.
[R] Epicalc package
With the introduction of softwares epiaclc statistical computations, things changed and data analysis came to be thought of something within the realm of possibility by the medical researchers. 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. Inwindows-based version, which was menu driven, was launched and it became very popular among the medical researchers.
It requires some effort to find which package contains the statistical techniques that we require. Last accessed on Apr 4].
Full ‘epicalc’ package with data management functions is available at the author’s repository. This seems like a well developed and useful packages, so why has it been removed?
R-software: A Newer Tool in Epidemiological Data Analysis
Articles epialc Indian Journal of Community Medicine: R is highly extensible through the use of usersubmitted packages for specific functions or epjcalc areas of study.
Epicwlc Info is also not suitable for data manipulation for longitudinal studies and its regression analysis facilities cannot cope with repeated measures and multilevel modeling.