Last updated: 2023-11-30
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Knit directory: HenriqueDGen/
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File | Version | Author | Date | Message |
---|---|---|---|---|
Rmd | fef5cf2 | LucianoRogerio | 2023-07-26 | Adicao Dados 2022 |
html | fef5cf2 | LucianoRogerio | 2023-07-26 | Adicao Dados 2022 |
Rmd | e020351 | LucianoRogerio | 2022-03-29 | Update Henrique Analysis |
html | e020351 | LucianoRogerio | 2022-03-29 | Update Henrique Analysis |
Rmd | 350ad46 | LucianoRogerio | 2022-03-23 | Names updates from Data files |
html | 350ad46 | LucianoRogerio | 2022-03-23 | Names updates from Data files |
Rmd | 3b2edda | HenriqueBernardino | 2022-03-16 | Dados Produtivos Corrigidos |
Rmd | 90b66eb | LucianoRogerio | 2022-03-08 | Update analysis Mixed models Henrique |
html | 90b66eb | LucianoRogerio | 2022-03-08 | Update analysis Mixed models Henrique |
Rmd | 224eb2d | LucianoRogerio | 2022-03-01 | Atividades Henrique 1 de março |
html | 224eb2d | LucianoRogerio | 2022-03-01 | Atividades Henrique 1 de março |
Rmd | 89ac868 | HenriqueBernardino | 2022-01-29 | Análise de Correlações |
Rmd | 6e4c5ee | HenriqueBernardino | 2022-01-26 | Prepação arquivos para o modelos mistos |
html | 6e4c5ee | HenriqueBernardino | 2022-01-26 | Prepação arquivos para o modelos mistos |
Rmd | 119cc22 | LucianoRogerio | 2022-01-18 | Atividades Henrique 18 Janeiro |
html | 119cc22 | LucianoRogerio | 2022-01-18 | Atividades Henrique 18 Janeiro |
Rmd | 8fec827 | LucianoRogerio | 2021-12-07 | fix the introduction section |
html | 8fec827 | LucianoRogerio | 2021-12-07 | fix the introduction section |
Rmd | d124c30 | LucianoRogerio | 2021-12-07 | Update of the webpage to english writting |
html | d124c30 | LucianoRogerio | 2021-12-07 | Update of the webpage to english writting |
Rmd | f272038 | LucianoRogerio | 2021-12-07 | Update of the analysis and website layout |
html | f272038 | LucianoRogerio | 2021-12-07 | Update of the analysis and website layout |
Rmd | e535227 | LucianoRogerio | 2021-11-24 | Update Layout Website |
html | e535227 | LucianoRogerio | 2021-11-24 | Update Layout Website |
html | 62922ff | LucianoRogerio | 2021-11-18 | Build site. |
Rmd | f51cdc6 | LucianoRogerio | 2021-11-18 | Add the Dendrogram analysis |
Rmd | 97d638d | LucianoRogerio | 2021-11-02 | Update of html links |
html | 97d638d | LucianoRogerio | 2021-11-02 | Update of html links |
html | b9ef481 | LucianoRogerio | 2021-11-02 | Build site and add new Data |
Rmd | 7286357 | LucianoRogerio | 2021-11-02 | Insercao do caractere Area de Antracnose e PCA |
html | 4842664 | LucianoRogerio | 2021-10-19 | Build site. |
Rmd | 3dbea3e | LucianoRogerio | 2021-10-19 | Fix link to MixedModels page |
html | 39d114b | LucianoRogerio | 2021-10-19 | Build site. |
Rmd | a740a97 | LucianoRogerio | 2021-10-19 | Fix link to MixedModels page |
Rmd | b9ece4f | LucianoRogerio | 2021-10-12 | Second Commit |
html | b9ece4f | LucianoRogerio | 2021-10-12 | Second Commit |
Rmd | d2d70ff | LucianoRogerio | 2021-10-12 | Second Commit |
html | d2d70ff | LucianoRogerio | 2021-10-12 | Second Commit |
Rmd | 9293d6c | LucianoRogerio | 2021-10-12 | Start workflowr project. |
Descriptive and deviance analysis were performed to verify the distribution and the genotypic effects for resistance to foliar diseases.
suppressMessages(library(tidyverse))
library(here)
here() starts at /Users/luciano/Documents/GitHub/HenriqueDGen
suppressMessages(library(reactable))
# Data read by R using here package to allow the read in any computer with different directory path
PhenoData <- readRDS(here::here("data", "DadosFenotipicos.rds"))
#write.table(PhenoData, file = "data/xx.csv", quote = F, sep = ",", row.names = F)
#PhenoData2 <- read.table("data/xx.csv", header = T, sep = ",")
#saveRDS(PhenoData2, file = here::here("data", "DadosFenotipicos.rds"))
# Add the control information for the Mixed Models analysis
control <- names(table(PhenoData$accession_name)[table(PhenoData$accession_name) > 30])
PhenoData$control <- ifelse(PhenoData$accession_name %in% control, PhenoData$accession_name, "999")
PhenoData$new <- ifelse(PhenoData$accession_name %in% control, 0, 1)
# Change the Disease names to english abbreviations
colnames(PhenoData)[10:13] <- c("Anth", "WhLS", "BrLS", "BlLS")
Anthracnosis (Anth), White Leaf spot (WhLS), Brown Leaf spot (BrLS), Blight Leaf Spot (BlLS).
lnfUtl <- colnames(PhenoData)[c(1:6, 14:15)]
PhenoData$talhao_number <- NULL
PhenoData$Idade <- NULL
PhenoData$is_a_control <- NULL
traits <- colnames(PhenoData)[!colnames(PhenoData) %in% lnfUtl]
PhenoData2 <- PhenoData %>% gather(key = traits, value = Y, -all_of(lnfUtl))
saveRDS(PhenoData2, here::here("output", "DadosDoencasv2.RDS"))
Anthracnosis (Anth), White Leaf spot (WhLS), Brown Leaf spot (BrLS), Blight Leaf Spot (BlLS).
library(reshape2); library(tidyverse)
Attaching package: 'reshape2'
The following object is masked from 'package:tidyr':
smiths
DadosProdutivos <- read.table(here::here("data", "Dados Produtivos 2011-2022.csv"), header = T, sep = ",",
na.strings = "NA")
head(DadosProdutivos)
Ano Campo Local Fazenda Genotipos.BGM Genotipos Delineamento
1 2011 Agroverde1 CruzAlmas CNPMF BGM-0023 BGM-0023 DBC
2 2011 Agroverde1 CruzAlmas CNPMF BGM-0023 BGM-0023 DBC
3 2011 Agroverde1 CruzAlmas CNPMF BGM-0023 BGM-0023 DBC
4 2011 Agroverde1 CruzAlmas CNPMF BGM-0025 BGM-0025 DBC
5 2011 Agroverde1 CruzAlmas CNPMF BGM-0025 BGM-0025 DBC
6 2011 Agroverde1 CruzAlmas CNPMF BGM-0025 BGM-0025 DBC
Controle Bloco Linha Coluna Stand AP APsF DMC DRY PTR PRC PRNC
1 0 1 27 7 18 128 NA 29.91 12.08 47.81 41.56 6.25
2 0 2 25 14 17 229 NA 29.93 11.61 45.94 35.06 10.88
3 0 3 16 24 20 268 NA 31.52 19.14 71.25 59.95 11.30
4 0 1 7 2 16 174 NA 35.34 6.52 21.25 13.96 7.29
5 0 2 4 11 17 202 NA 26.68 5.51 25.00 19.91 5.09
6 0 3 3 20 17 230 NA 27.92 3.78 16.25 9.19 7.06
PPA NR Vigor Vigor45D Vigor6M Vigor12M Retencao.foliar
1 46.88 NA NA NA NA NA NA
2 49.06 NA NA NA NA NA NA
3 56.56 NA NA NA NA NA NA
4 21.25 NA NA NA NA NA NA
5 27.50 NA NA NA NA NA NA
6 29.38 NA NA NA NA NA NA
colnames(DadosProdutivos)[c(5, 13:26)] <- c("Genotipo_BGM","AP", "APsF","DMC", "DRY",
"PTR","PRC", "PRNC","PPA","NR","Vigor",
"Vigor45D","Vigor6M","Vigor12M", "RF")
DadosPhen2 <- DadosProdutivos %>% dplyr::select(-c(AP, APsF, PRC, PRNC, Vigor, Vigor45D, Vigor6M))
head(DadosPhen2)
Ano Campo Local Fazenda Genotipo_BGM Genotipos Delineamento
1 2011 Agroverde1 CruzAlmas CNPMF BGM-0023 BGM-0023 DBC
2 2011 Agroverde1 CruzAlmas CNPMF BGM-0023 BGM-0023 DBC
3 2011 Agroverde1 CruzAlmas CNPMF BGM-0023 BGM-0023 DBC
4 2011 Agroverde1 CruzAlmas CNPMF BGM-0025 BGM-0025 DBC
5 2011 Agroverde1 CruzAlmas CNPMF BGM-0025 BGM-0025 DBC
6 2011 Agroverde1 CruzAlmas CNPMF BGM-0025 BGM-0025 DBC
Controle Bloco Linha Coluna Stand DMC DRY PTR PPA NR Vigor12M RF
1 0 1 27 7 18 29.91 12.08 47.81 46.88 NA NA NA
2 0 2 25 14 17 29.93 11.61 45.94 49.06 NA NA NA
3 0 3 16 24 20 31.52 19.14 71.25 56.56 NA NA NA
4 0 1 7 2 16 35.34 6.52 21.25 21.25 NA NA NA
5 0 2 4 11 17 26.68 5.51 25.00 27.50 NA NA NA
6 0 3 3 20 17 27.92 3.78 16.25 29.38 NA NA NA
DadosPhenfin <- reshape2::melt(data = DadosPhen2, id.vars = c("Ano", "Campo",
"Fazenda", "Local",
"Delineamento","Controle",
"Genotipo_BGM","Genotipos",
"Bloco", "Linha",
"Coluna", "Stand"),
variable.name = "Trait",
value.name = "y") %>%
dplyr::filter(!is.na(y)) %>%
dplyr::mutate(Ano = Ano,
Campo = Campo,
Local = Local,
trial = match(paste(Ano, Campo, Local, sep = "."), unique(paste(Ano, Campo, Local, sep = "."))),
studyDesign = Delineamento,
clone = Genotipo_BGM,
rep = Bloco,
check = ifelse(Controle == "1", clone, "999"),
check = ifelse(clone %in% unique(check), clone, "999"),
new = ifelse(check != "999", 0, 1),
.keep = "unused") %>% dplyr::select(-c("Genotipos")) %>%
dplyr::filter(Trait != "NR" | (Trait=="NR" & y < 30))
head(DadosPhenfin)
Ano Campo Fazenda Local Linha Coluna Stand Trait y trial
1 2011 Agroverde1 CNPMF CruzAlmas 27 7 18 DMC 29.91 1
2 2011 Agroverde1 CNPMF CruzAlmas 25 14 17 DMC 29.93 1
3 2011 Agroverde1 CNPMF CruzAlmas 16 24 20 DMC 31.52 1
4 2011 Agroverde1 CNPMF CruzAlmas 7 2 16 DMC 35.34 1
5 2011 Agroverde1 CNPMF CruzAlmas 4 11 17 DMC 26.68 1
6 2011 Agroverde1 CNPMF CruzAlmas 3 20 17 DMC 27.92 1
studyDesign clone rep check new
1 DBC BGM-0023 1 999 1
2 DBC BGM-0023 2 999 1
3 DBC BGM-0023 3 999 1
4 DBC BGM-0025 1 999 1
5 DBC BGM-0025 2 999 1
6 DBC BGM-0025 3 999 1
saveRDS(object = DadosPhenfin, file = here::here("output", "DadosFenotipicos.rds"))
sessionInfo()
R version 4.3.1 (2023-06-16)
Platform: aarch64-apple-darwin20 (64-bit)
Running under: macOS Sonoma 14.0
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/lib/libRlapack.dylib; LAPACK version 3.11.0
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
time zone: America/Sao_Paulo
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] reshape2_1.4.4 reactable_0.4.4 here_1.0.1 lubridate_1.9.2
[5] forcats_1.0.0 stringr_1.5.0 dplyr_1.1.2 purrr_1.0.2
[9] readr_2.1.4 tidyr_1.3.0 tibble_3.2.1 ggplot2_3.4.3
[13] tidyverse_2.0.0
loaded via a namespace (and not attached):
[1] sass_0.4.7 utf8_1.2.3 generics_0.1.3 stringi_1.7.12
[5] hms_1.1.3 digest_0.6.33 magrittr_2.0.3 timechange_0.2.0
[9] evaluate_0.21 grid_4.3.1 fastmap_1.1.1 plyr_1.8.8
[13] rprojroot_2.0.3 workflowr_1.7.0 jsonlite_1.8.7 whisker_0.4.1
[17] promises_1.2.1 fansi_1.0.4 crosstalk_1.2.0 scales_1.2.1
[21] jquerylib_0.1.4 cli_3.6.1 rlang_1.1.1 ellipsis_0.3.2
[25] munsell_0.5.0 reactR_0.4.4 withr_2.5.0 cachem_1.0.8
[29] yaml_2.3.7 tools_4.3.1 tzdb_0.4.0 colorspace_2.1-0
[33] httpuv_1.6.11 vctrs_0.6.3 R6_2.5.1 lifecycle_1.0.3
[37] git2r_0.32.0 htmlwidgets_1.6.2 fs_1.6.3 pkgconfig_2.0.3
[41] pillar_1.9.0 bslib_0.5.1 later_1.3.1 gtable_0.3.3
[45] glue_1.6.2 Rcpp_1.0.11 xfun_0.40 tidyselect_1.2.0
[49] rstudioapi_0.15.0 knitr_1.43 htmltools_0.5.6 rmarkdown_2.24
[53] compiler_4.3.1