"Añadir soporte para varios Mocks"
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Costa
@@ -52,19 +52,32 @@ server <- function(input, output) {
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table<-dades$taula[,colnames(dades$taula) != "Groups"]
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table<-dades$taula[,colnames(dades$taula) != "Groups"]
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t_mean<-dcast(melt(table, id="Mice"),Mice~variable, mean, na.rm=T)
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t_mean<-dcast(melt(table, id="Mice"),Mice~variable, mean, na.rm=T)
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t_substr<-data.frame("Mice"=t_mean[,1],
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if (length(grep("Mock", colnames(t_mean))) == 1){
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as.data.frame(t(apply(t_mean[,2:ncol(table)], 1, function(x) x-x[mock])))
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t_substr<-data.frame("Mice"=t_mean[,1],
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)
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as.data.frame(t(apply(t_mean[,2:ncol(table)], 1, function(x) x-x[mock])))
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t_mean_group<-merge(t_mean, unique(dades$taula[c("Mice","Groups")]), id="Mice")
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)
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mock_mean<-dcast(t_mean_group, Groups~., value.var=mock, mean)
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t_mean_group<-merge(t_mean, unique(dades$taula[c("Mice","Groups")]), id="Mice")
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mock_mean[,2]<-mock_mean[,2]*2
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t_mean_group$Groups<-as.factor(t_mean_group$Groups)
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mock_mean[mock_mean$. < input$umbral_pos,2]<-input$umbral_pos
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mock_mean<-dcast(t_mean_group, Groups~., value.var=mock, mean)
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mock_mean[,2]<-mock_mean[,2]*2
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t_substr<-merge(t_substr, unique(dades$taula[c("Mice","Groups")]), id="Mice")
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mock_mean[mock_mean$. < input$umbral_pos,2]<-input$umbral_pos
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t_substr<-t_substr[,c(1, ncol(t_substr), 2:(ncol(t_substr)-1))]
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t_substr<-t_substr[,c("Mice", "Groups", colnames(t_substr)[!colnames(t_substr) %in% c("Mice", "Groups")])]
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t_substr<-merge(t_substr, unique(dades$taula[c("Mice","Groups")]), id="Mice")
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t_substr[,3:ncol(t_substr)]<-apply(t_substr[,3:ncol(t_substr)],2, function(x) replace(x, which(x < 0),0))
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t_substr<-t_substr[,c(1, ncol(t_substr), 2:(ncol(t_substr)-1))]
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colnames(t_substr)<-c("Mice", "Groups", colnames(t_mean)[2:ncol(t_mean)])
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t_substr<-t_substr[,c("Mice", "Groups", colnames(t_substr)[!colnames(t_substr) %in% c("Mice", "Groups")])]
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t_substr[,3:ncol(t_substr)]<-apply(t_substr[,3:ncol(t_substr)],2, function(x) replace(x, which(x < 0),0))
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colnames(t_substr)<-c("Mice", "Groups", colnames(t_mean)[2:ncol(t_mean)])
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}else{
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print(1)
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t_especifica<-t_mean[,grep("Mock_", colnames(t_mean), invert=T)]
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t_mock<-t_mean[,c(which(colnames(t_mean) == "Mice"),grep("Mock_", colnames(t_mean)))]
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t_temp<-melt(t_especifica, variable.name = "condition", value.name = "spots")
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t_temp["spots_mock"]<-melt(t_mock, variable.name = "condition")[,"value"]
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t_substr<-data.frame(t_temp[c("Mice","condition")], "spots"=t_temp["spots"]-t_temp["spots_mock"])
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t_substr<-dcast(t_substr, Mice~condition)
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t_substr<-merge(t_substr, unique(dades$taula[c("Mice","Groups")]), id="Mice")
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t_substr$Groups<-as.factor(t_substr$Groups)
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}
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t_substr_gp<-t_substr
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t_substr_gp<-t_substr
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t_substr_gp[3:ncol(t_substr)]<-apply(t_substr[3:ncol(t_substr)], 2, function(x) gsub(".",",",x, fixed=T))
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t_substr_gp[3:ncol(t_substr)]<-apply(t_substr[3:ncol(t_substr)], 2, function(x) gsub(".",",",x, fixed=T))
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@@ -74,17 +87,6 @@ server <- function(input, output) {
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write.xlsx(doc, "data4graphpad.xlsx",rowNames=T)
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write.xlsx(doc, "data4graphpad.xlsx",rowNames=T)
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t<-melt(t_substr[,!colnames(t_substr) %in% c(ctrl, mock)])
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t<-melt(t_substr[,!colnames(t_substr) %in% c(ctrl, mock)])
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if (input$test == "T-test (adj Holm)"){
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t_stats<-multi_stats(t, "value", "variable", "Groups", stat.test = "ttest")
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}
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if (input$test == "Wilcoxon (adj Holm)"){
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t_stats<-multi_stats(t, "value", "variable", "Groups", stat.test = "wilcox")
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}
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dades$stats<<-t_stats
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t_stats<-t_stats %>% filter(p.signif != "ns")
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t_maps<-generate_labstats(t_stats, t, "value", "variable", "Groups")
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if (input$showstats == F){
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if (input$showstats == F){
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t_stats<-as.data.frame(matrix(nrow=0, ncol=6))
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t_stats<-as.data.frame(matrix(nrow=0, ncol=6))
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@@ -98,21 +100,34 @@ server <- function(input, output) {
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set.seed(123)
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set.seed(123)
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if (input$positive == T){
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if (input$positive == T){
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ggplot(melt(t_substr, id=c("Mice", ctrl, "Groups")), aes(variable, value))+
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if (input$test == "T-test (adj Holm)"){
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labs(x="", y="Spots/2.5*10^5 cells")+
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t_stats<-multi_stats(t, "value", "variable", "Groups", stat.test = "ttest")
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# geom_errorbar(stat="summary", position=position_dodge(width=0.9), width=0.5, aes(fill=Groups))+
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}
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geom_hline(data=mock_mean, aes(color=Groups, yintercept = `.`))+
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if (input$test == "Wilcoxon (adj Holm)"){
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# geom_bar(stat="summary", position="dodge", color="black", aes(fill=Groups))+
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t_stats<-multi_stats(t, "value", "variable", "Groups", stat.test = "wilcox")
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geom_boxplot(color="black", aes(fill=Groups), alpha=0.4, outlier.alpha = 0)+
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}
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geom_jitter(position=position_jitterdodge(jitter.width = 0.2), shape=21, aes(fill=Groups), size=3)+
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# geom_quasirandom(position = position_quasirandom(), shape=21)+
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dades$stats<<-t_stats
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scale_x_discrete(limits=colnames(t_substr)[!colnames(t_substr) %in% c("Mice", "Groups", ctrl, mock)])+
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t_stats<-t_stats %>% filter(p.signif != "ns")
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geom_segment(data=t_maps$brackets, aes(x=x1, xend=x2, y=y1, yend=y2), color="black")+
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geom_text(data=t_stats, aes(t_maps$label$x, t_maps$label$y, label=p.signif), color="black")+
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t_maps<-generate_labstats(t_stats, t, "value", "variable", "Groups")
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theme_bw()+
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theme(axis.text.x=element_text(angle=45, hjust=1))
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ggplot(melt(t_substr, id=c("Mice", ctrl, "Groups")), aes(variable, value))+
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labs(x="", y="Spots/2.5*10^5 cells")+
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# geom_errorbar(stat="summary", position=position_dodge(width=0.9), width=0.5, aes(fill=Groups))+
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geom_hline(data=mock_mean, aes(color=Groups, yintercept = `.`))+
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# geom_bar(stat="summary", position="dodge", color="black", aes(fill=Groups))+
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geom_boxplot(color="black", aes(fill=Groups), alpha=0.4, outlier.alpha = 0)+
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geom_jitter(position=position_jitterdodge(jitter.width = 0.2), shape=21, aes(fill=Groups), size=3)+
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# geom_quasirandom(position = position_quasirandom(), shape=21)+
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scale_x_discrete(limits=colnames(t_substr)[!colnames(t_substr) %in% c("Mice", "Groups", ctrl, mock)])+
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geom_segment(data=t_maps$brackets, aes(x=x1, xend=x2, y=y1, yend=y2), color="black")+
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geom_text(data=t_stats, aes(t_maps$label$x, t_maps$label$y, label=p.signif), color="black")+
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theme_bw()+
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theme(axis.text.x=element_text(angle=45, hjust=1))
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}else{
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}else{
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ggplot(melt(t_substr, id=c("Mice", ctrl, "Groups")), aes(variable, value))+
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ids<-if(ctrl %in% colnames(t_substr)){c("Mice", ctrl, "Groups")}else{c("Mice", "Groups")}
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ggplot(melt(t_substr, id=ids), aes(variable, value))+
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labs(x="", y="Spots/2.5*10^5 cells")+
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labs(x="", y="Spots/2.5*10^5 cells")+
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# geom_errorbar(stat="summary", position=position_dodge(width=0.9), width=0.5, aes(fill=Groups))+
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# geom_errorbar(stat="summary", position=position_dodge(width=0.9), width=0.5, aes(fill=Groups))+
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# geom_bar(stat="summary", position="dodge", color="black", aes(fill=Groups))+
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# geom_bar(stat="summary", position="dodge", color="black", aes(fill=Groups))+
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