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[éCow] correctif bloc taureaux

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Léa
2026-06-26 11:37:47 +02:00
parent d0fa2b6f1d
commit 27ebac51f5
1 changed files with 12 additions and 9 deletions
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R/project/ecow_calculations.R
+12 -9
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@@ -281,11 +281,11 @@ calcul_ecow_by_chep <- function(cheptel, step = 3) {
summarise(
utilgen = round(mean(rangVelageMipg == 1, na.rm = TRUE) * 100, 1),
prol = round(n() / n_distinct(dateNaiss, numeroMipg) * 100, 1),
mort = round(mean(mortsev == "O" | mortnat == "O") * 100, 1),
mort = round((sum(mortsev == "O" | mortnat == "O", na.rm = TRUE)) / n() * 100, 1),
txrepros = round(
sum(repro == "O", na.rm = TRUE) /
sum(is.na(mortsev) | is.na(mortnat)) * 100, 1
sum(is.na(mortsev) & is.na(mortnat)) * 100, 1
),
nbpp = sum(NBPRODIPG, na.rm = TRUE),
@@ -340,7 +340,7 @@ calcul_ecow_by_chep <- function(cheptel, step = 3) {
group_by(pereGenetique) %>%
summarise(
nbfillesact_avecprod = sum(NBPRODIPG > 0, na.rm = TRUE),
pctfillesact_avecprod = round(nbfillesact_avecprod / n() * 100, 1),
#pctfillesact_avecprod = round(nbfillesact_avecprod / nbfilles_avecprod * 100, 1),
isu_fillesact = 0,
age_sort_fillesact = ifelse(n() >= 3, round(mean(age_years, na.rm = TRUE), 1), NA),
@@ -364,12 +364,16 @@ calcul_ecow_by_chep <- function(cheptel, step = 3) {
.groups = "drop"
)
inventaire <- bind_rows(cheptel_ecow$vaches, cheptel_ecow$produits)
inventaire <- add_data_ecow(inventaire, czhbc)
stats_filles_renouv <- inventaire %>%
grp_filles_et_act <- stats_filles %>%
dplyr::left_join(stats_filles_act, by = "pereGenetique") %>%
mutate(
pctfillesact_avecprod = round( nbfillesact_avecprod / nbfilles_avecprod * 100, 1 )
)
stats_filles_renouv <- produits_cheptel %>%
filter(
sexe == "2",
NBPRODIPG == 0
nbFinGestation == 0 # TODO valider avec Lauréna que c'est bien ce champ là qu'on veut
) %>%
group_by(pereGenetique) %>%
summarise(
@@ -379,8 +383,7 @@ calcul_ecow_by_chep <- function(cheptel, step = 3) {
stats_taureaux <- stats_peres %>%
dplyr::left_join(stats_prod_directe, by = "pereGenetique") %>%
dplyr::left_join(stats_filles, by = "pereGenetique") %>%
dplyr::left_join(stats_filles_act, by = "pereGenetique") %>%
dplyr::left_join(grp_filles_et_act, by = "pereGenetique") %>%
dplyr::left_join(stats_filles_renouv, by = "pereGenetique") %>%
dplyr::left_join(taureaux, by = "pereGenetique")