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articles/Comparing2Groups.html

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articles/Modelling2Factors.html

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articles/Modelling2Factors.md

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@@ -144,7 +144,7 @@ These proteins can easily be visualized using the `boxplot` function
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from the `plotter` objects in prolfqua
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``` r
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ggpubr::ggarrange(plotlist = protInt$get_Plotter()$boxplots()$boxplot)
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gridExtra::grid.arrange(grobs = protInt$get_Plotter()$boxplots()$boxplot)
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```
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![Proteins with FDR \< 0.05 for the interaction in the factors condition
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## [1] stats graphics grDevices utils datasets methods base
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##
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## other attached packages:
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## [1] dplyr_1.2.0
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## [1] dplyr_1.2.0 prolfqua_1.5.0
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##
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## loaded via a namespace (and not attached):
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## [1] beeswarm_0.4.0 gtable_0.3.6 xfun_0.56
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## [1] gtable_0.3.6 beeswarm_0.4.0 xfun_0.56
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## [4] bslib_0.10.0 ggplot2_4.0.2 htmlwidgets_1.6.4
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## [7] ggrepel_0.9.8 rstatix_0.7.3 vctrs_0.7.1
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## [10] tools_4.5.2 generics_0.1.4 tibble_3.3.1
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## [13] pkgconfig_2.0.3 pheatmap_1.0.13 data.table_1.18.2.1
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## [16] RColorBrewer_1.1-3 S7_0.2.1 desc_1.4.3
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## [19] lifecycle_1.0.5 prolfqua_1.5.0 compiler_4.5.2
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## [22] farver_2.1.2 textshaping_1.0.5 progress_1.2.3
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## [25] statmod_1.5.1 carData_3.0-6 vipor_0.4.7
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## [28] htmltools_0.5.9 sass_0.4.10 yaml_2.3.12
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## [31] lazyeval_0.2.2 Formula_1.2-5 plotly_4.12.0
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## [34] car_3.1-5 pillar_1.11.1 pkgdown_2.2.0
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## [37] ggpubr_0.6.3 crayon_1.5.3 jquerylib_0.1.4
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## [40] tidyr_1.3.2 MASS_7.3-65 cachem_1.1.0
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## [43] limma_3.66.0 abind_1.4-8 tidyselect_1.2.1
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## [46] digest_0.6.39 stringi_1.8.7 purrr_1.2.1
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## [49] labeling_0.4.3 forcats_1.0.1 cowplot_1.2.0
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## [52] fastmap_1.2.0 grid_4.5.2 cli_3.6.5
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## [55] magrittr_2.0.4 utf8_1.2.6 broom_1.0.12
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## [58] withr_3.0.2 backports_1.5.0 prettyunits_1.2.0
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## [61] scales_1.4.0 ggbeeswarm_0.7.3 rmarkdown_2.30
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## [64] httr_1.4.8 otel_0.2.0 gridExtra_2.3
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## [67] ggsignif_0.6.4 ragg_1.5.1 hms_1.1.4
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## [70] evaluate_1.0.5 knitr_1.51 UpSetR_1.4.0
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## [73] viridisLite_0.4.3 rlang_1.1.7 Rcpp_1.1.1
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## [76] glue_1.8.0 jsonlite_2.0.0 R6_2.6.1
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## [79] plyr_1.8.9 systemfonts_1.3.2 fs_1.6.7
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## [7] ggrepel_0.9.8 vctrs_0.7.1 tools_4.5.2
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## [10] generics_0.1.4 tibble_3.3.1 pkgconfig_2.0.3
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## [13] pheatmap_1.0.13 data.table_1.18.2.1 RColorBrewer_1.1-3
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## [16] S7_0.2.1 desc_1.4.3 lifecycle_1.0.5
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## [19] compiler_4.5.2 farver_2.1.2 textshaping_1.0.5
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## [22] progress_1.2.3 statmod_1.5.1 vipor_0.4.7
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## [25] htmltools_0.5.9 sass_0.4.10 yaml_2.3.12
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## [28] lazyeval_0.2.2 plotly_4.12.0 pillar_1.11.1
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## [31] pkgdown_2.2.0 crayon_1.5.3 jquerylib_0.1.4
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## [34] tidyr_1.3.2 MASS_7.3-65 cachem_1.1.0
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## [37] limma_3.66.0 tidyselect_1.2.1 digest_0.6.39
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## [40] stringi_1.8.7 purrr_1.2.1 labeling_0.4.3
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## [43] forcats_1.0.1 fastmap_1.2.0 grid_4.5.2
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## [46] cli_3.6.5 magrittr_2.0.4 utf8_1.2.6
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## [49] withr_3.0.2 prettyunits_1.2.0 scales_1.4.0
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## [52] ggbeeswarm_0.7.3 rmarkdown_2.30 httr_1.4.8
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## [55] otel_0.2.0 gridExtra_2.3 ragg_1.5.1
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## [58] hms_1.1.4 evaluate_1.0.5 knitr_1.51
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## [61] UpSetR_1.4.0 viridisLite_0.4.3 rlang_1.1.7
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## [64] Rcpp_1.1.1 glue_1.8.0 jsonlite_2.0.0
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## [67] R6_2.6.1 plyr_1.8.9 systemfonts_1.3.2
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## [70] fs_1.6.7
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## References
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pkgdown.yml

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QualityControlAndSampleSizeEstimation: QualityControlAndSampleSizeEstimation.html
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SimulateData: SimulateData.html
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TestingMissingInference: TestingMissingInference.html
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last_built: 2026-03-17T10:12Z
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last_built: 2026-03-17T12:34Z
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urls:
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reference: https://wolski.github.io/prolfqua/reference
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article: https://wolski.github.io/prolfqua/articles

reference/ContrastsMissing.html

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reference/ContrastsMissing.md

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#> $FDR
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#>
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dev.off()
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#> agg_record_29a43c3bb370
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#> 2
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#> agg_record_2970269662b
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#> 2
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dd <- prolfqua::sim_lfq_data_2Factor_config(Nprot = 100,weight_missing = 0.1)
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#> creating sampleName from fileName column
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#> $FDR
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#>
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dev.off()
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#> agg_record_29a43c3bb370
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#> 2
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#> agg_record_2970269662b
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#> 2
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```

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