Nothing
## Module Pretreatment ###############################
# Variables
NMRData_Mean <- colMeans(NMRData[,])
ysup <- max(NMRData[,])
yinf <- ysup*-0.03
ysup <- ysup + ysup*0.03
p_value <- 0.05
# Data.frame
testy_norm <<- data.frame(Chemical_Shift=CS_values_real[1,],Spectrum=NMRData[1,])
CS_norm <<- reactiveValues(vranges = c(-13131313,-131313))
ranges <- reactiveValues(x = c(min(testy_norm$Chemical_Shift),(max(testy_norm$Chemical_Shift))), y = c(yinf,ysup))
ranges_sel <- reactiveValues(x = c(min(testy_norm$Chemical_Shift),(max(testy_norm$Chemical_Shift))), y = c(yinf,ysup))
spectrums <- reactiveValues(dat = data.frame(Chemical_Shift=CS_values_real[1,],Spectrum=NMRData[1,]))
spectrums_sel <- reactiveValues(dat = data.frame(Chemical_Shift=CS_values_real[1,],Spectrum=NMRData[1,]))
rr_n <<- reactiveValues(csranges = c(-13131313,-131313))
# Show Normalize section
observeEvent(input$pretreatment, {
updateTabsetPanel(session, "main_bar", "Normalize Selection")
removeModal()
.mean_centering()
})
# Plot Normalization
# Plot spectra average
output$plot_norm <- renderPlot({
ggplot2::ggplot(spectrums$dat,ggplot2::aes(Chemical_Shift,Spectrum)) + ggplot2::geom_line(color='blue') + ggplot2::scale_x_reverse() +
ggplot2::coord_cartesian(xlim = c(ranges$x[2],ranges$x[1]), ylim = ranges$y, expand = FALSE) +
ggplot2::theme(axis.text.x = ggplot2::element_text(size = 12, color = "#000000"),
axis.text.y = ggplot2::element_text(size = 12, color = "#000000"),
title = ggplot2::element_text(face = "bold", color = "#000000", size = 17),
axis.title = ggplot2::element_text(face = "bold", color = "#000000", size = 15)
) +
ggplot2::labs(x = "Chemical Shift", y = "Intensity") +
ggplot2::geom_vline(xintercept=rr_nn$csranges, color = "green", size = 0.1, alpha=0.3) +
ggplot2::geom_vline(xintercept=rr_n$csranges, color = "red", size = 0.1, alpha=0.3)
})
# Brush
observeEvent(input$plot_brush_norm,{
brush <- input$plot_brush_norm
if (!is.null(brush)) {
ranges$x <- c(brush$xmin, brush$xmax)
ranges$y <- c(brush$ymin, brush$ymax)
spectrums$dat$Spectrum <- testy$Spectrum*chkzoom
peran <<- (ranges$x[2] - ranges$x[1])*0.2
}
else {
ranges$x <- c(min(testy$Chemical_Shift),(max(testy$Chemical_Shift)))
}
})
# Mean centering
observeEvent(input$mean_norm,{
# s_stoc <<- 0
.mean_centering()
choose_norm <<- 7
})
# Scaling
observeEvent(input$scaling_norm,{
if (!(sel_ind == 0)) {
rr_n$csranges <<- c()
col_sel_norm <<- c()
.autoscaling()
f <- 0
output$norm_cond <- renderText(paste("After normalize: ", dif,"%"))
for (j in 1:length(norm_var)) {
if (norm_var[j] == "NO") {
f <- f + 1
col_sel_norm[f] <<- col_select[j]
}
else{
}
}
rr_n$csranges <- CS_values_real[1,col_sel_norm]
choose_norm <<- 6
}
else{
showModal(modalDialog(
title = "Warning!!!",
"No region was selected. You must first select the desired region(s) before to start Normalize section!",
easyClose = TRUE,
footer = modalButton("Close"),
size = "l"
))
}
})
# Pareto
observeEvent(input$pareto_norm,{
if (!(sel_ind == 0)) {
rr_n$csranges <<- c()
.pareto()
col_sel_norm <<- c()
f <- 0
output$norm_cond <- renderText(paste("Affter normalize: ", dif,"%"))
for (j in 1:length(norm_var)) {
if (norm_var[j] == "NO") {
f <- f + 1
col_sel_norm[f] <<- col_select[j]
}
else{
}
}
rr_n$csranges <- CS_values_real[1,col_sel_norm]
choose_norm <<- 5
}
else{
showModal(modalDialog(
title = "Warning!!!",
"No region was selected. You must first select the desired region(s) before to start Normalize section!",
easyClose = TRUE,
footer = modalButton("Close"),
size = "l"
))
}
})
# Square Root
observeEvent(input$sqr_norm,{
if (!(sel_ind == 0)) {
rr_n$csranges <<- c()
.sqr_norm()
col_sel_norm <<- c()
f <- 0
output$norm_cond <- renderText(paste("Affter normalize: ", dif,"%"))
for (j in 1:length(norm_var)) {
if (norm_var[j] == "NO") {
f <- f + 1
col_sel_norm[f] <<- col_select[j]
}
else{
}
}
rr_n$csranges <- CS_values_real[1,col_sel_norm]
choose_norm <<- 4
}
else{
showModal(modalDialog(
title = "Warning!!!",
"No region was selected. You must first select the desired region(s) before to start Normalize section!",
easyClose = TRUE,
footer = modalButton("Close"),
size = "l"
))
}
})
# Inverse Square Root
observeEvent(input$i_sqr_norm,{
if (!(sel_ind == 0)) {
rr_n$csranges <<- c()
.isqr_norm()
col_sel_norm <<- c()
f <- 0
output$norm_cond <- renderText(paste("Affter normalize: ", dif,"%"))
for (j in 1:length(norm_var)) {
if (norm_var[j] == "NO") {
f <- f + 1
col_sel_norm[f] <<- col_select[j]
}
else{
}
}
rr_n$csranges <- CS_values_real[1,col_sel_norm]
choose_norm <<- 3
}
else{
showModal(modalDialog(
title = "Warning!!!",
"No region was selected. You must first select the desired region(s) before to start Normalize section!",
easyClose = TRUE,
footer = modalButton("Close"),
size = "l"
))
}
})
# Log
observeEvent(input$log_norm,{
if (!(sel_ind == 0)) {
rr_n$csranges <<- c()
.log_norm()
col_sel_norm <<- c()
f <- 0
output$norm_cond <- renderText(paste("Affter normalize: ", dif,"%"))
for (j in 1:length(norm_var)) {
if (norm_var[j] == "NO") {
f <- f + 1
col_sel_norm[f] <<- col_select[j]
}
else{
}
}
rr_n$csranges <- CS_values_real[1,col_sel_norm]
choose_norm <<- 2
}
else{
showModal(modalDialog(
title = "Warning!!!",
"No region was selected. You must first select the desired region(s) before to start Normalize section!",
easyClose = TRUE,
footer = modalButton("Close"),
size = "l"
))
}
})
# Start STOCSY-I
observeEvent(input$s_stocsy_i_norm, {
if (choose_norm == 1) {
.s_stocsy(matr_cor)
}
if (choose_norm == 2) {
.s_stocsy(NMR_log)
}
if (choose_norm == 3) {
.s_stocsy(NMR_i_sqr)
}
if (choose_norm == 4) {
.s_stocsy(NMR_sqr)
}
if (choose_norm == 5) {
.s_stocsy(NMR_Pareto)
}
if (choose_norm == 6) {
.s_stocsy(NMR_ASC)
}
if (choose_norm == 7) {
.s_stocsy(NMR_MC)
}
})
# R critical by P-value
observeEvent(input$pv_n, {
p_value_n <- as.numeric(input$pv_n)
p_value <- p_value_n
r_critical(p_value_n)
output$r_critical <- renderText(paste("R critical = +/-",abs(R_CRITICAL[1])))
})
# Download point selected
output$downloadpoints2 <- downloadHandler(
filename = function() {
paste("Selected_Regions", ".csv", sep = "")
},
content = function(file) {
if (choose_norm == 1) {
col_select <<- col_select[order(col_select)]
CS_sel_real <<- CS_selection$vranges[order(CS_selection$vranges,decreasing = TRUE)]
matr_cor <<- matrix(data = NMRData[,col_select],dim(NMRData)[1], length(CS_sel_real))
colnames(matr_cor) <<- CS_sel_real
write.table(matr_cor, file,sep = ",",col.names = TRUE,row.names = FALSE)
}
if (choose_norm == 2) {
col_select <<- col_select[order(col_select)]
CS_sel_real <<- CS_selection$vranges[order(CS_selection$vranges,decreasing = TRUE)]
colnames(NMR_log) <<- CS_sel_real
write.table(NMR_log, file,sep = ",",col.names = TRUE,row.names = FALSE)
}
if (choose_norm == 3) {
col_select <<- col_select[order(col_select)]
CS_sel_real <<- CS_selection$vranges[order(CS_selection$vranges,decreasing = TRUE)]
colnames(NMR_i_sqr) <<- CS_sel_real
write.table(NMR_i_sqr, file,sep = ",",col.names = TRUE,row.names = FALSE)
}
if (choose_norm == 4) {
col_select <<- col_select[order(col_select)]
CS_sel_real <<- CS_selection$vranges[order(CS_selection$vranges,decreasing = TRUE)]
colnames(NMR_sqr) <<- CS_sel_real
write.table(NMR_sqr, file,sep = ",",col.names = TRUE,row.names = FALSE)
}
if (choose_norm == 5) {
col_select <<- col_select[order(col_select)]
CS_sel_real <<- CS_selection$vranges[order(CS_selection$vranges,decreasing = TRUE)]
colnames(NMR_Pareto) <<- CS_sel_real
write.table(NMR_Pareto, file,sep = ",",col.names = TRUE,row.names = FALSE)
}
if (choose_norm == 6) {
col_select <<- col_select[order(col_select)]
CS_sel_real <<- CS_selection$vranges[order(CS_selection$vranges,decreasing = TRUE)]
colnames(NMR_ASC) <<- CS_sel_real
write.table(NMR_ASC, file,sep = ",",col.names = TRUE,row.names = FALSE)
}
if (choose_norm == 7) {
col_select <<- col_select[order(col_select)]
CS_sel_real <<- CS_selection$vranges[order(CS_selection$vranges,decreasing = TRUE)]
colnames(NMR_MC) <<- CS_sel_real
write.table(NMR_MC, file,sep = ",",col.names = TRUE,row.names = FALSE)
}
}
)
# Download bucket selected
output$downloadareas2 <- downloadHandler(
filename = function() {
paste("Normalize_Regions", ".csv", sep = "")},
content = function(file) {
if (choose_norm == 1) {
if (length(reg_selec) > 2) {
matrarea <- matr_selec[,rank(reg_selec[,1])]
regelec <- round(reg_selec[rank(reg_selec[,1]),],2)
nambu <- paste(as.character(regelec[,1]),as.character(regelec[,2]),sep = "-")
colnames(matrarea) <- nambu
write.table(matrarea, file,sep = ",",col.names = TRUE,row.names = FALSE)
}
else {
showModal(modalDialog(
title = "Warning!!!",
"Please selected more than one region to download this area",
easyClose = TRUE,
footer = modalButton("Close"),
size = "l"
))
}
}
if (choose_norm == 2) {
if (length(reg_selec) > 2) {
matrarea <- matr_selec[,rank(reg_selec[,1])]
regelec <- round(reg_selec[rank(reg_selec[,1]),],2)
nambu <- paste(as.character(regelec[,1]),as.character(regelec[,2]),sep = "-")
colnames(matrarea) <- nambu
write.table(matrarea, file,sep = ",",col.names = TRUE,row.names = FALSE)
}
else {
showModal(modalDialog(
title = "Warning!!!",
"Please selected more than one region to download this area",
easyClose = TRUE,
footer = modalButton("Close"),
size = "l"
))
}
}
if (choose_norm == 3) {
if (length(reg_selec) > 2) {
matrarea <- matr_selec[,rank(reg_selec[,1])]
regelec <- round(reg_selec[rank(reg_selec[,1]),],2)
nambu <- paste(as.character(regelec[,1]),as.character(regelec[,2]),sep = "-")
colnames(matrarea) <- nambu
write.table(matrarea, file,sep = ",",col.names = TRUE,row.names = FALSE)
}
else {
showModal(modalDialog(
title = "Warning!!!",
"Please selected more than one region to download this area",
easyClose = TRUE,
footer = modalButton("Close"),
size = "l"
))
}
}
if (choose_norm == 4) {
if (length(reg_selec) > 2) {
matrarea <- matr_selec[,rank(reg_selec[,1])]
regelec <- round(reg_selec[rank(reg_selec[,1]),],2)
nambu <- paste(as.character(regelec[,1]),as.character(regelec[,2]),sep = "-")
colnames(matrarea) <- nambu
write.table(matrarea, file,sep = ",",col.names = TRUE,row.names = FALSE)
}
else {
showModal(modalDialog(
title = "Warning!!!",
"Please selected more than one region to download this area",
easyClose = TRUE,
footer = modalButton("Close"),
size = "l"
))
}
}
if (choose_norm == 5) {
if (length(reg_selec) > 2) {
matrarea <- matr_selec[,rank(reg_selec[,1])]
regelec <- round(reg_selec[rank(reg_selec[,1]),],2)
nambu <- paste(as.character(regelec[,1]),as.character(regelec[,2]),sep = "-")
colnames(matrarea) <- nambu
write.table(matrarea, file,sep = ",",col.names = TRUE,row.names = FALSE)
}
else {
showModal(modalDialog(
title = "Warning!!!",
"Please selected more than one region to download this area",
easyClose = TRUE,
footer = modalButton("Close"),
size = "l"
))
}
}
if (choose_norm == 6) {
if (length(reg_selec) > 2) {
matrarea <- matr_selec[,rank(reg_selec[,1])]
regelec <- round(reg_selec[rank(reg_selec[,1]),],2)
nambu <- paste(as.character(regelec[,1]),as.character(regelec[,2]),sep = "-")
colnames(matrarea) <- nambu
write.table(matrarea, file,sep = ",",col.names = TRUE,row.names = FALSE)
}
else {
showModal(modalDialog(
title = "Warning!!!",
"Please selected more than one region to download this area",
easyClose = TRUE,
footer = modalButton("Close"),
size = "l"
))
}
}
if (choose_norm == 7) {
if (length(reg_selec) > 2) {
matrarea <- matr_selec[,rank(reg_selec[,1])]
regelec <- round(reg_selec[rank(reg_selec[,1]),],2)
nambu <- paste(as.character(regelec[,1]),as.character(regelec[,2]),sep = "-")
colnames(matrarea) <- nambu
write.table(matrarea, file,sep = ",",col.names = TRUE,row.names = FALSE)
}
else {
showModal(modalDialog(
title = "Warning!!!",
"Please selected more than one region to download this area",
easyClose = TRUE,
footer = modalButton("Close"),
size = "l"
))
}
}
}
)
# Plot_PDF I-STOCSY
observeEvent(input$norm_print_PDF, {
ggplot2::ggsave("normal_regions.pdf",path = choose.dir(),width=195, height=105, units="mm", dpi = 300)
})
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