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Pequeñas correcciones.

master
Costa 3 years ago
parent
commit
0be8700e87
1 changed files with 30 additions and 15 deletions
  1. +30
    -15
      app.R

+ 30
- 15
app.R

@ -131,14 +131,21 @@ server <- function(input, output) {
t_maps<-generate_labstats(t_stats, t, "value", "variable", "Groups") t_maps<-generate_labstats(t_stats, t, "value", "variable", "Groups")
dades$maps<<-t_maps dades$maps<<-t_maps
} }
print(t_substr)
if (length(unique(dades$taula[,"Groups"])) < 2){
dades$stats<<-1
}
dades$final<<-if(ctrl %in% colnames(t_substr)){t_substr %>% select(-cctrl)}else{t_substr}
# dades$final<<-if(ctrl %in% colnames(t_substr)){t_substr %>% select(-c(ctrl, mock))}else{t_substr %>% select(-mock)}
c(ctrl, mock)[c(ctrl, mock) %in% colnames(t_substr)]
dades$final<<-t_substr %>% select(-c(ctrl, mock)[c(ctrl, mock) %in% colnames(t_substr)])
set.seed(123) set.seed(123)
if (input$positive == T){ if (input$positive == T){
ggplot(melt(t_substr, id=c("Mice", ctrl, "Groups")), aes(variable, value))+
ids=c("Mice", "Groups", c(ctrl, mock)[c(ctrl, mock) %in% colnames(t_substr)])
validate(
need(exists("mock_mean"), "No se puede elegir positividad con múltiples mocks")
)
if (exists("mock_mean")){
ggplot(melt(t_substr, id=ids), aes(variable, value))+
labs(x="", y="Spots/2.5*10^5 cells")+ labs(x="", y="Spots/2.5*10^5 cells")+
# geom_errorbar(stat="summary", position=position_dodge(width=0.9), width=0.5, aes(fill=Groups))+ # geom_errorbar(stat="summary", position=position_dodge(width=0.9), width=0.5, aes(fill=Groups))+
geom_hline(data=mock_mean, aes(color=Groups, yintercept = `.`))+ geom_hline(data=mock_mean, aes(color=Groups, yintercept = `.`))+
@ -151,8 +158,10 @@ server <- function(input, output) {
geom_text(data=t_stats, aes(t_maps$label$x, t_maps$label$y, label=p.signif), color="black")+ geom_text(data=t_stats, aes(t_maps$label$x, t_maps$label$y, label=p.signif), color="black")+
theme_bw()+ theme_bw()+
theme(axis.text.x=element_text(angle=45, hjust=1)) theme(axis.text.x=element_text(angle=45, hjust=1))
}
}else{ }else{
ids<-if(ctrl %in% colnames(t_substr)){c("Mice", ctrl, "Groups")}else{c("Mice", "Groups")}
ids=c("Mice", "Groups", c(ctrl, mock)[c(ctrl, mock) %in% colnames(t_substr)])
ggplot(melt(t_substr, id=ids), aes(variable, value))+ ggplot(melt(t_substr, id=ids), aes(variable, value))+
labs(x="", y="Spots/2.5*10^5 cells")+ labs(x="", y="Spots/2.5*10^5 cells")+
# geom_errorbar(stat="summary", position=position_dodge(width=0.9), width=0.5, aes(fill=Groups))+ # geom_errorbar(stat="summary", position=position_dodge(width=0.9), width=0.5, aes(fill=Groups))+
@ -174,16 +183,22 @@ server <- function(input, output) {
observeEvent(dades$stats, {}) observeEvent(dades$stats, {})
t_stats<-dades$stats t_stats<-dades$stats
if (!is.null(dades$stats)){ if (!is.null(dades$stats)){
return(
t_stats %>%
flextable() %>%
theme_vanilla() %>%
fontsize(size=14, part="all") %>%
padding(padding=10, part="all") %>%
color(~ p.adj < 0.05, color = "red")%>%
autofit()
) %>%
htmltools_value()
if (t_stats == 1){
validate(
need(t_stats == 1, "Con un sólo grupo no se puede hacer estadística")
)
}else{
return(
t_stats %>%
flextable() %>%
theme_vanilla() %>%
fontsize(size=14, part="all") %>%
padding(padding=10, part="all") %>%
color(~ p.adj < 0.05, color = "red")%>%
autofit()
) %>%
htmltools_value()
}
} }
}) })

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