Hello about metan

[adelinalarsen]

Fixed!!!. @TiagoOlivoto
I had to update several packages (glue, backports, lme4, etc.), but it worked!
Thank you so much! Best luck with CRAN stable version.
Best regards,
Adelina.

[TiagoOlivoto]

Dear @adelinalarsen thank you for your report. metan was not accepting special characters in genotype or environment labels. This bug was already fixed in the development version of metan. Just install metan from github again.

devtools::install_github("TiagoOlivoto/metan")

For future issues, I'd suggest using the package reprex to report a reproducible example. Please, take a look in the example with your data.

library(metan)
#> Registered S3 method overwritten by 'GGally':
#>   method from   
#>   +.gg   ggplot2
#> []=====================================================[]
#> [] Multi-Environment Trial Analysis (metan) v1.4.0.9000[]
#> [] Author: Tiago Olivoto                               []
#> [] Type citation('metan') to know how to cite metan    []
#> [] Type vignette('metan_start') for a short tutorial   []
#> [] Visit http://bit.ly/2TIq6JE for a complete tutorial []
#> []=====================================================[]
library(readxl)
df <- read_excel("D:/Desktop/metan_docs/metan_errors/metan.xlsx")
model <- 
  waasb(df,
        env = ENV,
        gen = GEN,
        rep = REP,
        resp = GY)
#> Method: REML/BLUP
#> Random effects: GEN, GEN:ENV
#> Fixed effects: ENV, REP(ENV)
#> Denominador DF: Satterthwaite's method
#> ---------------------------------------------------------------------------
#> P-values for Likelihood Ratio Test of the analyzed traits
#> ---------------------------------------------------------------------------
#>     model      GY
#>  COMPLETE      NA
#>       GEN 0.12115
#>   GEN:ENV 0.00368
#> ---------------------------------------------------------------------------
#> All variables with significant (p < 0.05) genotype-vs-environment interaction
get_model_data(model, "vcomp")
#> Class of the model: waasb
#> Variable extracted: vcomp
#> # A tibble: 3 x 2
#>   Group         GY
#>   <chr>      <dbl>
#> 1 GEN       10185.
#> 2 GEN:ENV   39944.
#> 3 Residual 216753.
get_model_data(model, "ranef")$GEN
#> Class of the model: waasb
#> Variable extracted: ranef
#>         GEN           GY
#> 1     BICAR  -48.3766075
#> 2     BIQUI  126.8142707
#> 3      BZAF   65.7360536
#> 4 CBW#10211    0.1770672
#> 5 CBW#10242  -37.0717310
#> 6 CBW#10416   -5.4692823
#> 7 CBW#10802 -101.8097707

^{Created on 2020-04-08 by the reprex package (v0.3.0)}

I'm planning a new stable release on CRAN within the next couple of days. Since this bug was already fixed in the development version I'm closing this issue now.
Best regards