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
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