
	Shapiro-Wilk normality test

data:  Repro
W = 0.94409, p-value = 0.09786

  Group.1         x
1  ConCag 0.8931750
2  ConExp 0.9583250
3 FranCag 0.5830000
4 FranExp 0.5843333
5  NorCag 0.8145667
6  NorExp 0.7877333
7 SwedCag 0.4586000
8 SwedExp 0.4829667
  Group.1          x
1  ConCag 0.04850837
2  ConExp 0.01596728
3 FranCag 0.11197951
4 FranExp 0.02976689
5  NorCag 0.06415919
6  NorExp 0.05443333
7 SwedCag 0.08403599
8 SwedExp 0.06522165
Analysis of Deviance Table (Type III tests)

Response: Repro
                        Chisq Df Pr(>Chisq)    
(Intercept)          198.6693  1  < 2.2e-16 ***
Background            30.7375  3  9.654e-07 ***
Treatment              1.3217  1     0.2503    
Background:Treatment   1.5083  3     0.6804    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Analysis of Deviance Table (Type III tests)

Response: Repro
               Chisq Df Pr(>Chisq)    
(Intercept) 252.2014  1  < 2.2e-16 ***
Background   44.5052  3  1.179e-09 ***
Treatment     0.5378  1     0.4633    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
$`emmeans of Background`
 Background emmean     SE df lower.CL upper.CL
 Control     0.926 0.0603 13    0.796    1.056
 France      0.600 0.0582 13    0.474    0.725
 Norway      0.801 0.0696 13    0.651    0.951
 Sweden      0.479 0.0502 13    0.370    0.587

Results are averaged over the levels of: Treatment 
Degrees-of-freedom method: containment 
Confidence level used: 0.95 

$`pairwise differences of Background`
 1                estimate     SE df t.ratio p.value
 Control - France    0.326 0.0838 14   3.893  0.0078
 Control - Norway    0.125 0.0920 14   1.354  0.5463
 Control - Sweden    0.447 0.0785 14   5.698  0.0003
 France - Norway    -0.202 0.0907 14  -2.222  0.1651
 France - Sweden     0.121 0.0770 14   1.571  0.4248
 Norway - Sweden     0.322 0.0858 14   3.757  0.0101

Results are averaged over the levels of: Treatment 
Degrees-of-freedom method: containment 
P value adjustment: tukey method for comparing a family of 4 estimates 

Analysis of Deviance Table (Type III tests)

Response: ReproNor
               Chisq Df Pr(>Chisq)    
(Intercept) 281.1763  1     <2e-16 ***
TreatNor      0.1526  1     0.6961    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Analysis of Deviance Table (Type III tests)

Response: ReproSwed
              Chisq Df Pr(>Chisq)    
(Intercept) 53.4790  1  2.614e-13 ***
TreatSwed    0.0084  1     0.9268    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Analysis of Deviance Table (Type III tests)

Response: ReproFran
              Chisq Df Pr(>Chisq)    
(Intercept) 62.2805  1  2.979e-15 ***
TreatFran    0.1973  1     0.6569    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Analysis of Deviance Table (Type III tests)

Response: ReproCon
               Chisq Df Pr(>Chisq)    
(Intercept) 815.7021  1     <2e-16 ***
TreatCon      2.4524  1     0.1173    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Analysis of Deviance Table (Type III tests)

Response: Fecundity
                        Chisq Df Pr(>Chisq)    
(Intercept)          377.9784  1  < 2.2e-16 ***
Background            23.7985  3  2.752e-05 ***
Treatment              0.4850  1     0.4862    
Background:Treatment   2.3458  3     0.5038    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Analysis of Deviance Table (Type III tests)

Response: Fecundity
               Chisq Df Pr(>Chisq)    
(Intercept) 476.8582  1  < 2.2e-16 ***
Background   31.1052  3  8.078e-07 ***
Treatment     0.8064  1     0.3692    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
$`emmeans of Background`
 Background emmean    SE df lower.CL upper.CL
 Control      3.85 0.178 13     3.46     4.24
 France       2.84 0.178 13     2.46     3.23
 Norway       3.47 0.206 13     3.02     3.91
 Sweden       2.80 0.150 13     2.47     3.12

Results are averaged over the levels of: Treatment 
Degrees-of-freedom method: containment 
Confidence level used: 0.95 

$`pairwise differences of Background`
 1                estimate    SE df t.ratio p.value
 Control - France   1.0082 0.252 14   4.000  0.0064
 Control - Norway   0.3833 0.272 14   1.408  0.5151
 Control - Sweden   1.0535 0.233 14   4.523  0.0024
 France - Norway   -0.6248 0.272 14  -2.295  0.1464
 France - Sweden    0.0453 0.233 14   0.194  0.9973
 Norway - Sweden    0.6702 0.255 14   2.632  0.0820

Results are averaged over the levels of: Treatment 
Degrees-of-freedom method: containment 
P value adjustment: tukey method for comparing a family of 4 estimates 



R version 4.2.3 (2023-03-15)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Arch Linux

Matrix products: default
BLAS:   /usr/lib/libopenblas.so.0.3
LAPACK: /usr/lib/liblapack.so.3.11.0

locale:
 [1] LC_CTYPE=sv_SE.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=sv_SE.UTF-8        LC_COLLATE=sv_SE.UTF-8    
 [5] LC_MONETARY=sv_SE.UTF-8    LC_MESSAGES=sv_SE.UTF-8   
 [7] LC_PAPER=sv_SE.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=sv_SE.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] readxl_1.4.1    emmeans_1.8.1-1 car_3.1-0       carData_3.0-5  
 [5] nlme_3.1-162    lme4_1.1-30     Matrix_1.5-3    forcats_0.5.2  
 [9] stringr_1.4.1   dplyr_1.0.10    purrr_0.3.4     tidyr_1.2.1    
[13] tibble_3.1.8    ggplot2_3.3.6   tidyverse_1.3.2 Hmisc_5.0-1    
[17] multcomp_1.4-20 TH.data_1.1-1   MASS_7.3-58.2   survival_3.5-3 
[21] mvtnorm_1.1-3   readr_2.1.2    

loaded via a namespace (and not attached):
 [1] fs_1.5.2            bit64_4.0.5         lubridate_1.8.0    
 [4] httr_1.4.4          tools_4.2.3         backports_1.4.1    
 [7] utf8_1.2.2          R6_2.5.1            rpart_4.1.19       
[10] DBI_1.1.3           colorspace_2.0-3    nnet_7.3-18        
[13] withr_2.5.0         tidyselect_1.1.2    gridExtra_2.3      
[16] bit_4.0.4           compiler_4.2.3      cli_3.4.0          
[19] rvest_1.0.3         htmlTable_2.4.1     xml2_1.3.3         
[22] sandwich_3.0-2      labeling_0.4.2      scales_1.2.1       
[25] checkmate_2.1.0     digest_0.6.29       foreign_0.8-84     
[28] minqa_1.2.4         rmarkdown_2.16      base64enc_0.1-3    
[31] pkgconfig_2.0.3     htmltools_0.5.4     dbplyr_2.2.1       
[34] fastmap_1.1.0       htmlwidgets_1.5.4   rlang_1.0.6        
[37] rstudioapi_0.14     farver_2.1.1        generics_0.1.3     
[40] zoo_1.8-11          jsonlite_1.8.0      vroom_1.5.7        
[43] googlesheets4_1.0.1 magrittr_2.0.3      Formula_1.2-5      
[46] Rcpp_1.0.9          munsell_0.5.0       fansi_1.0.3        
[49] abind_1.4-5         lifecycle_1.0.2     stringi_1.7.12     
[52] grid_4.2.3          parallel_4.2.3      crayon_1.5.1       
[55] lattice_0.20-45     haven_2.5.1         splines_4.2.3      
[58] hms_1.1.2           knitr_1.40          pillar_1.8.1       
[61] boot_1.3-28.1       estimability_1.4.1  codetools_0.2-19   
[64] reprex_2.0.2        glue_1.6.2          evaluate_0.16      
[67] data.table_1.14.2   modelr_0.1.9        vctrs_0.4.1        
[70] nloptr_2.0.3        tzdb_0.3.0          cellranger_1.1.0   
[73] gtable_0.3.1        assertthat_0.2.1    xfun_0.32          
[76] xtable_1.8-4        broom_1.0.1         coda_0.19-4        
[79] googledrive_2.0.0   gargle_1.2.1        cluster_2.1.4      
[82] ellipsis_0.3.2     
