It looks most of the material from epicalc
has been moved into epiDisplay
.
The epiDisplay package information says:
Package for data exploration and result presentation. Full 'epicalc' package with data management functions is available at the author's repository.
(although it doesn't give a link).
devtools::install_version("epicalc",version="2.15.1.0")
install.packages("epiDisplay")
library("epicalc")
library("epiDisplay")
c1 <- ls("package:epicalc")
d1 <- ls("package:epiDisplay")
In epicalc
but not epiDisplay
:
setdiff(c1,d1)
## [1] "addMissingRecords" "adjust" "auc"
## [4] "be2ad" "detachAllData" "expand"
## [7] "fillin" "keepData" "label.var"
## [10] "lagVar" "markVisits" "merge.lab"
## [13] "pack" "print.summ" "recode"
## [16] "recode.default" "recode.is.na" "ren"
## [19] "rename" "rename.default" "rename.pattern"
## [22] "rename.var" "sortBy" "tally.events"
## [25] "unclassDataframe" "use" "zap"
In epiDisplay
but not epicalc
:
setdiff(d1,c1)
## [1] "print.summ.data.frame" "print.summ.default" "summ.data.frame"
## [4] "summ.default" "summ.factor" "summ.logical"
Edit:
Per the author of epicalc
:
‘epicalc’ has disappeared from CRAN. It has been archived by R-core team based on my request. The reason is that CRAN has set up a policy not to allow any package to do anything on .GlobalEnv while epicalc does that extensively.
They go on to say:
WHICH ONE IS BETTER? ‘epicalc’ or ‘epiDisplay’
For those who are familiar with epicalc, without these database functions, you need to get back to usual plain R functions. That will slow you down substantially, especially during the data cleaning and manipulation. I recommend that you should install epicalc from our website (as shown above) and don’t borther about ‘epiDisplay’ For R users who have never used epicalc and do not want to learn epicalc database functions, ‘epiDisplay’ is straightforward and should still be very useful in data exploration and result display.