wlenhard / cnorm Goto Github PK

I am trying to use the shiny app for cNORM but when I open my dataset, I cannot get past preparation as I get the error: Error:argument is of length zero

I probably found a bug in normTable function. If confidence intervals are requested, the interval for percentile works, but it is definitely wrong for the standard score as it shows the upper bound in both columns. An example (using N(10,3)):

In addition, I really like you use regression method. However, I would like to know more about the exact method which is used. Is it SE for observed score, SE = SD*sqrt(1-r), or SE for true-score estimate, SE_t = SD*sqrt(r)*sqrt(1-r)? And the regression was estimated like E(t) = r*X+(1-r)*M? It would be helpful to provide formula or reference any source with them.

cnorm.cv is broken in R 4.3.0, other functions are evaluated
library(cNORM) model <- cnorm(raw=elfe$raw, group=elfe$group) cnorm.cv(model$data)

... fails in cycle 2.

OS: Linux Mint 19.2; R version 3.4.4

** preparing package for lazy loading
Error : object ‘askYesNo’ is not exported by 'namespace:utils'
ERROR: lazy loading failed for package ‘cNORM’
Warning in install.packages :
installation of package ‘cNORM’ had non-zero exit status

leap, RColorBrewer and latticeExtra are installed.

In the attached screen shot, you can see that "pretty = TRUE" returned three rows for the 1-74 range of raw scores, whereas it should have returned only a single row for the 1-74 range.

Should be 3.0 instead of 3.0.0. This doesn't matter on CRAN, because in R package_version("3.0") == package_version("3.0.0"), but I found it causes issues in other systems (e.g., RPM packaging).