Dear Wolfgang, I have posted the requested information you asked for. > sessionInfo() R version 4.0.1 (2020-06-06) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 10 x64 (build 18362)
Matrix products: default locale: [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 [3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C [5] LC_TIME=English_United States.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] meta_4.12-0 reshape2_1.4.4 metafor_2.4-0 Matrix_1.2-18 loaded via a namespace (and not attached): [1] Rcpp_1.0.4.6 lattice_0.20-41 MASS_7.3-51.6 grid_4.0.1 [5] plyr_1.8.6 nlme_3.1-148 magrittr_1.5 stringi_1.4.6 [9] minqa_1.2.4 nloptr_1.2.2.1 boot_1.3-25 splines_4.0.1 [13] statmod_1.4.34 lme4_1.1-23 tools_4.0.1 stringr_1.4.0 [17] CompQuadForm_1.4.3 compiler_4.0.1 > > class(result.md) [1] "rma.uni" "rma" > Thank you Kobby On Tue, Jun 23, 2020 at 3:24 AM Viechtbauer, Wolfgang (SP) < wolfgang.viechtba...@maastrichtuniversity.nl> wrote: > Dear Kobby, > > Please post the output of sessionInfo() and class(result.md). > > Best, > Wolfgang > > >-----Original Message----- > >From: K Amoatwi [mailto:amoatwi...@gmail.com] > >Sent: Monday, 22 June, 2020 22:30 > >To: Viechtbauer, Wolfgang (SP) > >Cc: r-help@r-project.org > >Subject: Re: [R] Error message in meta-analysis package Metafor-weights > ="" > > > >Hi Wolfgang and All, > >I am still practising my meta-analysis with the "Metafor" package, I tried > >to run the code for "Forest plot" and got error message as shown below: > >forest(result.md) > >> forest(result.md) > >Error in UseMethod("forest") : > > no applicable method for 'forest' applied to an object of class > >"c('rma.uni', 'rma')" > > > >Thank you in advance for your support > > > >regards > >Kobby > > > >On Tue, Jun 16, 2020 at 12:50 PM Viechtbauer, Wolfgang (SP) > ><wolfgang.viechtba...@maastrichtuniversity.nl> wrote: > >Dear Amoatwi, > > > >This way of using the escalc() function has been deprecated. It might be > >added back once there is actually any benefit from having this > >functionality, but for years it just meant that I had to maintain two > >different ways of doing the exact same thing without any additional > >benefits. > > > >Best, > >Wolfgang > > > >-- > >Wolfgang Viechtbauer, Ph.D., Statistician | Department of Psychiatry and > >Neuropsychology | Maastricht University | P.O. Box 616 (VIJV1) | 6200 MD > >Maastricht, The Netherlands | +31 (43) 388-4170 | http://www.wvbauer.com > > > >>-----Original Message----- > >>From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of K > Amoatwi > >>Sent: Tuesday, 16 June, 2020 4:50 > >>To: r-help@r-project.org > >>Subject: [R] Error message in meta-analysis package Metafor-weights ="" > >> > >>Dear All, > >>I am using the example from one of the tutorial about "Metafor" package > and > >>"escalc" function, to learn how this package can be applied to do > >>meta-analysi; the code and the data is directly from the tutorials but > >>"weights=freq" option in the escalc function is given me error message > >>This is the code below: > >> > >>library(metafor) # Load package > >>#####DATASET 1: BCG Vaccine Trials > >>data(dat.bcg) # BCG meta-analytic dataset > >> > >>##Formula based Specification > >>##That is, what if I have multiple rows per study, corresponding to > >>difference treatment groups? > >> > >>library(reshape2) # Load package for data reshaping > >> > >>bcg.long <- melt(dat.bcg[, c("trial", "tpos", "tneg", "cpos", "cneg")], > id > >>= "trial") > >>bcg.long$pos <- ifelse(bcg.long$var == "tpos" | bcg.long$var == "cpos", > 1, > >>0) > >>bcg.long$group <- ifelse(bcg.long$var == "tpos" | bcg.long$var == "tneg", > >>1, 0) > >> > >>##sample of the data, the first 6 rows > >>head(bcg.long) > >> trial variable value pos group > >>1 1 tpos 4 1 1 > >>2 2 tpos 6 1 1 > >>3 3 tpos 3 1 1 > >>4 4 tpos 62 1 1 > >>5 5 tpos 33 1 1 > >>6 6 tpos 180 1 1 > >> > >>##Now applying the " escalc " function > >> > >>escalc(factor(pos)~factor(group)| factor(trial),weights = value,data = > >>bcg.long, measure = "OR") > >> > >>##Then I got this error message > >>Error in escalc(factor(pos) ~ factor(group) | factor(trial), weights = > >>value, : > >> object 'value' not found > >> > >>I used the same data with different example from another author and got a > >>similar error message > >>Second code with the same data but different coding > >>Sample data > >> > >>with the first 6 rows of the rearranged data shown below. (T=treatment, > >>C=Control group, Out=outcome whether positive or negative, and then > >>frequency) > >> study grp out freq > >>1 1 T + 4 > >>2 1 T - 119 > >>3 1 C + 11 > >>4 1 C - 128 > >>5 2 T + 6 > >>6 2 T - 300 > >> > >>>escalc(out ~ grp | study, weights = freq, data = dat.fm, measure = > "OR") > >> > >>Error in escalc(out ~ grp | study, weights = freq, data = dat.fm, > measure = > >>"OR") : > >> object 'freq' not found > >> > >>I am not sure what I am doing wrong since both authors were able to get > >>their results while I am getting error messages. > >> > >>Any help will be very much appreciated > >> > >>Amoatwi > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
