Dear friends - this is really a question I'm sorry about since it doesn't follow the requirements. I have made a R package via RStudio and it causes problems when I try to load some data from within the package. I'm on windows, R version 3.5.1 (2018-07-02).
When I am in the directory with the package project (also with plain R) > data(Schell) > library(chaRBAL) Attaches package: 'chaRBAL' my translation from Danish The following objects are masked _by_ '.GlobalEnv': Na, TOTAL, WA # BUT: the values are correct from data(Schell): > Na [1] 0.008 0.024 0.044 0.064 0.082 0.098 0.114 0.128 0.142 0.154 0.166 0.176 0.188 0.198 0.206 0.214 0.224 0.232 [19] 0.242 0.252 0.264 0.278 0.292 0.310 0.330 0.348 0.364 0.374 0.384 0.390 > TOTAL [,1] [,2] [1,] 0.004 0.098 [2,] 0.012 0.094 [3,] 0.022 0.089 [4,] 0.032 0.084 [5,] 0.041 0.079 ----25 more so > WA $`buffs` $`buffs`[[1]] [1] "Phos" $`buffs`[[2]] [1] "Cit" $KA $KA[[1]] [1] 6.918310e-03 6.165950e-08 4.786301e-13 $KA[[2]] [1] 7.413102e-04 1.737801e-05 3.981072e-07 # Which is all OK # But when now I make the same call again > data(Schell) ls() # [1] "Alb" "Ca" "Cl" "K" "Lact" "Mg" "Na" "PCO2" "S1" #[10] "TOTAL" "WA" TOTAL # [,1] [,2] [,3] # [1,] 0.0267 0.0267 0.0267 # [2,] 0.0200 0.0200 0.0200 # which is wrong and belongs to another included dataset. How did that happen to be caught in globalenvironment, how can I avoid that and get rid # of it? I can see I need to know more about environments. What do you think happens? All best wishes Troels Ring, MD Aalborg [[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.