R: Barras 3 niveles positivo neutro negativo
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
#' @param mono The name of the column with monocyte measurements
#' @param neutro The name of the column with neutrophil
", neutro = "neutrophil_ncnc_bld",
eosin = "eosinophil_ncnc_bld", baso = "basophil_ncnc_bld")
Arguments
ifelse(Calificación == "Neutro", 0,-1))) %>%
group_by({{grupo}}) %>%
summarise(indice = sum(Calificación
), catchFactor = 1, scenario = "neutro"))
Arguments
directory
::centDHSbloodDMC.m[,c("Neutro","Eosino","CD4T","CD8T","Mono","B","NK")])
W.liu <- EpiDISH::epidish(X.liu, ref)$estF(Fecha=seq(inicio_periodo, fin_periodo, by= "1 day"),
Calificación=c("Positivo","Negativo","Neutro
medio. En este índice, 1 es 100% positivo, 0 es completamente neutro y -1 es 100% negativo.
```{r}
kableExtra::kbl
', 'mal_pos', 'mean_ratio', 'mfi', 'mfi_adj', 'mfi_corr', 'mfi_imp',
'min_half', 'neutros', 'original_id
fractions in a matrix with cell types as column names and samples as
row names. Expects cell types: "Neutro","Eosino
") # neutros
jgenes.choose <- c(jgenes.choose1, jgenes.choose2)
genesets.zf[["granuMono"]] <- jgenes.choose
", legend=c("B Cell", "Eo/Baso/Mast", "Ery", "Mk", "Mono/DC", "Neutro"), col=selected_colors, pch=16, cex=0.7), neutrophil (NEUTRO), and lymphocyte (LYMPH)</li></ul>"
# example methods
method <- source("R/example/methods.R
#' @title Barras 3 niveles positivo neutro negativo
#'
#' @description
','Macrophages M1','Macrophages M2'),
Neutro=c('Neutrophil','Neutrophils'))
resls=list(epicRes,cib_lm6_res
prog.", "Erythroblasts", "Gran/Mono prog.", "LMPPs", "Mono prog.",
"Neutro prog.", "Neutrophils", "pro-B
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