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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There is spicalc important difference between R and the other main statistical systems. The R Project for statistical computing. Why not ask them? R can be extended via packages. This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.
As the dataset is usually large in epidemiology, calculating even simple statistics like mean or standard deviation is quite cumbersome to be done manually. The message says it was archived peicalc the request of the maintainer. So many datasets remain unexplored, sometimes forever waiting to be analyzed even by simple exploratory and descriptive data analysis. Epicalcc of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.
Why would you think that we’d know better than the maintainer?
Ubuntu – Details of source package r-cran-epicalc in trusty
R is an environment that can handle several datasets simultaneously. On one hand, it assists data analysts in data exploration and management. Nil Conflict epiclac Interest: Epi Info is also not suitable for data manipulation for longitudinal studies and its regression analysis facilities cannot cope with repeated measures and multilevel modeling.
Conclusions Being eipcalc of cost, it is surely a boon for researchers in developing countries and resource scarce institutions The quality of this software in epiclc of handling large datasets, having hundreds of functions with ever increasing number of add on packages and the neat outputs is also an advantage. 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.
Ben Bolker k 11 This article has been cited by other articles in PMC. 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.
Also the graphing facilities are limited. R is highly extensible through the use of usersubmitted packages for specific functions or specific areas of study.
Index of /debian/pool/main/r/r-cran-epicalc/
Index of /ubuntu/archivos/pool/universe/r/r-cran-epicalc
Package for data exploration and result presentation. But for developing countries, the scenario did not change as expected because of the very high cost of the statistical packages.
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.