diff --git a/.Rproj.user/F43DE67C/pcs/files-pane.pper b/.Rproj.user/F43DE67C/pcs/files-pane.pper index 09e6c24..9347b94 100644 --- a/.Rproj.user/F43DE67C/pcs/files-pane.pper +++ b/.Rproj.user/F43DE67C/pcs/files-pane.pper @@ -5,5 +5,5 @@ "ascending": true } ], - "path": "~/NanoR" + "path": "~/NanoR/R" } \ No newline at end of file diff --git a/.Rproj.user/F43DE67C/pcs/source-pane.pper b/.Rproj.user/F43DE67C/pcs/source-pane.pper index ddca97d..b074a4f 100644 --- a/.Rproj.user/F43DE67C/pcs/source-pane.pper +++ b/.Rproj.user/F43DE67C/pcs/source-pane.pper @@ -1,3 +1,3 @@ { - "activeTab": 2 + "activeTab": 1 } \ No newline at end of file diff --git a/.Rproj.user/F43DE67C/pcs/windowlayoutstate.pper b/.Rproj.user/F43DE67C/pcs/windowlayoutstate.pper index 1ce8c3e..0f9091d 100644 --- a/.Rproj.user/F43DE67C/pcs/windowlayoutstate.pper +++ b/.Rproj.user/F43DE67C/pcs/windowlayoutstate.pper @@ -1,14 +1,14 @@ { "left": { - "splitterpos": 425, + "splitterpos": 445, "topwindowstate": "NORMAL", - "panelheight": 1089, - "windowheight": 1127 + "panelheight": 1146, + "windowheight": 1184 }, "right": { - "splitterpos": 676, + "splitterpos": 710, "topwindowstate": "NORMAL", - "panelheight": 1089, - "windowheight": 1127 + "panelheight": 1146, + "windowheight": 1184 } } \ No newline at end of file diff --git a/.Rproj.user/F43DE67C/persistent-state b/.Rproj.user/F43DE67C/persistent-state index a4c5d96..ccd040b 100644 --- a/.Rproj.user/F43DE67C/persistent-state +++ b/.Rproj.user/F43DE67C/persistent-state @@ -1,6 +1,6 @@ build-last-errors="[]" build-last-errors-base-dir="~/NanoR/" -build-last-outputs="[{\"type\":0,\"output\":\"==> devtools::document(roclets = c('rd', 'collate', 'namespace'))\\n\\n\"},{\"type\":1,\"output\":\"\\u001B[36mℹ\\u001B[39m Updating \\u001B[34m\\u001B[34mNanoR\\u001B[34m\\u001B[39m documentation\\n\"},{\"type\":1,\"output\":\"\\u001B[36mℹ\\u001B[39m Loading \\u001B[34m\\u001B[34mNanoR\\u001B[34m\\u001B[39m\\n\"},{\"type\":2,\"output\":\"Warning: package ‘plotly’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘ggplot2’ was built under R version 4.1.1\\nWarning: package ‘scales’ was built under R version 4.1.1\\nWarning: package ‘data.table’ was built under R version 4.1.1\\nWarning: package ‘dplyr’ was built under R version 4.1.1\\nWarning: package ‘tidyr’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: \\u001B[1m\\u001B[22mSkipping \\u001B]8;;file:///Users/davide.bolognini/NanoR/NAMESPACE\\u0007\\u001B[34mNAMESPACE\\u001B[39m\\u001B]8;;\\u0007\\n\\u001B[31m✖\\u001B[39m It already exists and was not generated by roxygen2.\\n\"},{\"type\":1,\"output\":\"Documentation completed\\n\\n\"},{\"type\":0,\"output\":\"==> R CMD INSTALL --preclean --no-multiarch --with-keep.source NanoR\\n\\n\"},{\"type\":1,\"output\":\"* installing to library ‘/Users/davide.bolognini/Library/R/arm64/4.1/library’\\n\"},{\"type\":1,\"output\":\"* installing *source* package ‘NanoR’ ...\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"** using staged installation\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"** R\\n\"},{\"type\":1,\"output\":\"** data\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"*** moving datasets to lazyload DB\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"** inst\\n\"},{\"type\":1,\"output\":\"** byte-compile and prepare package for lazy loading\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"Warning messages:\\n\"},{\"type\":1,\"output\":\"1: package ‘plotly’ was built under R version 4.1.1 \\n\"},{\"type\":1,\"output\":\"2: package ‘ggplot2’ was built under R version 4.1.1 \\n\"},{\"type\":1,\"output\":\"3: package ‘scales’ was built under R version 4.1.1 \\n\"},{\"type\":1,\"output\":\"4: package ‘data.table’ was built under R version 4.1.1 \\n\"},{\"type\":1,\"output\":\"5: package ‘dplyr’ was built under R version 4.1.1 \\n\"},{\"type\":1,\"output\":\"6: package ‘tidyr’ was built under R version 4.1.1 \\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"** help\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"*** installing help indices\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"** building package indices\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"** testing if installed package can be loaded from temporary location\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":2,\"output\":\"Warning: package ‘plotly’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘ggplot2’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘scales’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘data.table’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘dplyr’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘tidyr’ was built under R version 4.1.1\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"** testing if installed package can be loaded from final location\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":2,\"output\":\"Warning: package ‘plotly’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘ggplot2’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘scales’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘data.table’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘dplyr’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘tidyr’ was built under R version 4.1.1\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"** testing if installed package keeps a record of temporary installation path\\n\"},{\"type\":1,\"output\":\"* DONE (NanoR)\\n\"},{\"type\":1,\"output\":\"\"}]" +build-last-outputs="[{\"type\":0,\"output\":\"==> devtools::document(roclets = c('rd', 'collate', 'namespace'))\\n\\n\"},{\"type\":1,\"output\":\"\\u001B[36mℹ\\u001B[39m Updating \\u001B[34m\\u001B[34mNanoR\\u001B[34m\\u001B[39m documentation\\n\"},{\"type\":1,\"output\":\"\\u001B[36mℹ\\u001B[39m Loading \\u001B[34m\\u001B[34mNanoR\\u001B[34m\\u001B[39m\\n\"},{\"type\":2,\"output\":\"Warning: package ‘plotly’ was built under R version 4.1.1\\nWarning: package ‘ggplot2’ was built under R version 4.1.1\\nWarning: package ‘scales’ was built under R version 4.1.1\\nWarning: package ‘data.table’ was built under R version 4.1.1\\nWarning: package ‘dplyr’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘tidyr’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: \\u001B[1m\\u001B[22mSkipping \\u001B]8;;file:///Users/davide.bolognini/NanoR/NAMESPACE\\u0007\\u001B[34mNAMESPACE\\u001B[39m\\u001B]8;;\\u0007\\n\\u001B[31m✖\\u001B[39m It already exists and was not generated by roxygen2.\\n\"},{\"type\":1,\"output\":\"Documentation completed\\n\\n\"},{\"type\":0,\"output\":\"==> R CMD INSTALL --preclean --no-multiarch --with-keep.source NanoR\\n\\n\"},{\"type\":1,\"output\":\"* installing to library ‘/Users/davide.bolognini/Library/R/arm64/4.1/library’\\n\"},{\"type\":1,\"output\":\"* installing *source* package ‘NanoR’ ...\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"** using staged installation\\n\"},{\"type\":1,\"output\":\"** R\\n\"},{\"type\":1,\"output\":\"** data\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"*** moving datasets to lazyload DB\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"** inst\\n\"},{\"type\":1,\"output\":\"** byte-compile and prepare package for lazy loading\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"Warning messages:\\n\"},{\"type\":1,\"output\":\"1: package ‘plotly’ was built under R version 4.1.1 \\n\"},{\"type\":1,\"output\":\"2: package ‘ggplot2’ was built under R version 4.1.1 \\n\"},{\"type\":1,\"output\":\"3: package ‘scales’ was built under R version 4.1.1 \\n\"},{\"type\":1,\"output\":\"4: package ‘data.table’ was built under R version 4.1.1 \\n\"},{\"type\":1,\"output\":\"5: package ‘dplyr’ was built under R version 4.1.1 \\n\"},{\"type\":1,\"output\":\"6: package ‘tidyr’ was built under R version 4.1.1 \\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"** help\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"*** installing help indices\\n\"},{\"type\":1,\"output\":\"** building package indices\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"** testing if installed package can be loaded from temporary location\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":2,\"output\":\"Warning: package ‘plotly’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘ggplot2’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘scales’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘data.table’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘dplyr’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘tidyr’ was built under R version 4.1.1\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"** testing if installed package can be loaded from final location\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":2,\"output\":\"Warning: package ‘plotly’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘ggplot2’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘scales’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘data.table’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘dplyr’ was built under R version 4.1.1\\n\"},{\"type\":2,\"output\":\"Warning: package ‘tidyr’ was built under R version 4.1.1\\n\"},{\"type\":1,\"output\":\"\"},{\"type\":1,\"output\":\"** testing if installed package keeps a record of temporary installation path\\n\"},{\"type\":1,\"output\":\"* DONE (NanoR)\\n\"},{\"type\":1,\"output\":\"\"}]" compile_pdf_state="{\"tab_visible\":false,\"running\":false,\"target_file\":\"\",\"output\":\"\",\"errors\":[]}" files.monitored-path="" find-in-files-state="{\"handle\":\"\",\"input\":\"\",\"path\":\"\",\"regex\":false,\"ignoreCase\":false,\"results\":{\"file\":[],\"line\":[],\"lineValue\":[],\"matchOn\":[],\"matchOff\":[],\"replaceMatchOn\":[],\"replaceMatchOff\":[]},\"running\":false,\"replace\":false,\"preview\":false,\"gitFlag\":false,\"replacePattern\":\"\"}" diff --git a/.Rproj.user/F43DE67C/sources/prop/INDEX b/.Rproj.user/F43DE67C/sources/prop/INDEX index ffb871a..76640e0 100644 --- a/.Rproj.user/F43DE67C/sources/prop/INDEX +++ b/.Rproj.user/F43DE67C/sources/prop/INDEX @@ -1,5 +1,7 @@ ~%2FNanoR%2FDESCRIPTION="300FBE73" +~%2FNanoR%2FR%2Falfredstats.R="051BA4F2" ~%2FNanoR%2FR%2Fcompare.R="DDB686B2" +~%2FNanoR%2FR%2Fheatmap.R="EC1BCDCE" ~%2FNanoR%2FR%2Fmuxscan.R="68F33D03" ~%2FNanoR%2FREADME.md="668CEBF6" ~%2FNanoR%2Fman%2Fcompare.Rd="35EB6A46" diff --git a/.Rproj.user/shared/notebooks/paths b/.Rproj.user/shared/notebooks/paths index 2b183ab..e863d90 100644 --- a/.Rproj.user/shared/notebooks/paths +++ b/.Rproj.user/shared/notebooks/paths @@ -1 +1,2 @@ /Users/davide.bolognini/NanoR/DESCRIPTION="3D0E67B2" +/Users/davide.bolognini/NanoR/R/heatmap.R="0847926F" diff --git a/R/alfredstats.R b/R/alfredstats.R index 45bf761..7b40998 100644 --- a/R/alfredstats.R +++ b/R/alfredstats.R @@ -1,6 +1,6 @@ #' @title alfredstats #' @description generate an interactive HTML report with statistics from alfred qc (zgrep "^ME | cut -f 2- | datamash transpose) -#' @param qcdata path to alfred qc.tsv.gz +#' @param qcdata path to alfred qc.tsv.gz #' @param out path to HTML report #' @return HTML file #' @examples @@ -27,7 +27,7 @@ alfredstats<-function(qcdata,out) { "ErrorRate") error_df<- df[which(df$Sample %in% keep),] - error_df[match(keep, error_df$Sample),] + error_df<-error_df[match(keep, error_df$Sample),] error_df<-transpose(error_df) names(error_df) <- as.character(unlist(error_df[1,])) @@ -37,15 +37,15 @@ alfredstats<-function(qcdata,out) { colnames(error_df)<-c(colnames(error_df)[c(1:length(colnames(error_df))-1)], c("#TotalErrors")) cols<-colnames(error_df) error_df<-transpose(error_df) - error_df$V2<-error_df$V1 - error_df$V1<-cols + colnames(error_df)<-colnames(df)[c(2:ncol(df))] + error_df$V0<-cols #counts - error_counts_df<-error_df[grepl("#", error_df$V1),] - error_counts_df$V1<-factor(error_counts_df$V1, levels=as.character(error_counts_df$V1)) + error_counts_df<-error_df[grepl("#", error_df$V0),] + error_counts_df$V0<-factor(error_counts_df$V0, levels=as.character(error_counts_df$V0)) #rates - error_rates_df<-error_df[!grepl("#", error_df$V1),] - error_rates_df$V1<-factor(error_rates_df$V1, levels=as.character(error_rates_df$V1)) + error_rates_df<-error_df[!grepl("#", error_df$V0),] + error_rates_df$V0<-factor(error_rates_df$V0, levels=as.character(error_rates_df$V0)) #aligned reads @@ -56,18 +56,19 @@ alfredstats<-function(qcdata,out) { "#MappedReverse", "MappedReverseFraction", "#SecondaryAlignments", "SecondaryAlignmentFraction", "#SupplementaryAlignments", "SupplementaryAlignmentFraction", - "#SplicedAlignments", "SplicedAlignmentFraction" + "#SplicedAlignments", "SplicedAlignmentFraction" ) alignment_df<-df[which(df$Sample %in% keep),] - colnames(alignment_df)<-c("V1", "V2") + colnames(alignment_df)[1]<-c("V0") + alignment_df<-alignment_df %>% dplyr::relocate(V0, .after = last_col()) #counts - alignment_counts_df<-alignment_df[grepl("#", alignment_df$V1),] - alignment_counts_df$V1<-factor(alignment_counts_df$V1, levels=as.character(alignment_counts_df$V1)) + alignment_counts_df<-alignment_df[grepl("#", alignment_df$V0),] + alignment_counts_df$V0<-factor(alignment_counts_df$V0, levels=as.character(alignment_counts_df$V0)) #rates - alignment_rates_df<-alignment_df[!grepl("#", alignment_df$V1),] - alignment_rates_df$V1<-factor(alignment_rates_df$V1, levels=as.character(alignment_rates_df$V1)) + alignment_rates_df<-alignment_df[!grepl("#", alignment_df$V0),] + alignment_rates_df$V0<-factor(alignment_rates_df$V0, levels=as.character(alignment_rates_df$V0)) f <- list( size = 10, @@ -82,24 +83,48 @@ alfredstats<-function(qcdata,out) { buttons = list( list(label = "counts", method = "restyle", - args = list("visible", list(TRUE,FALSE))), + args = list("visible", sapply(rep(c(TRUE,FALSE),each=(ncol(error_counts_df)-1)),list))), list(label = "rates", method = "restyle", - args = list("visible", list(FALSE,TRUE))) + args = list("visible", sapply(rep(c(FALSE,TRUE),each=(ncol(error_counts_df)-1)),list))) ) ) message("[",Sys.time(),"]"," plotting") - p1<-plot_ly() %>% add_trace(x=error_counts_df$V1,y=as.numeric(error_counts_df$V2),type="bar", color = I("darkblue"), name = "#bp", visible=TRUE) %>% - add_trace(x=error_rates_df$V1,y=as.numeric(error_rates_df$V2),type="bar", color = I("darkred"), name = ":bp", visible=FALSE) %>% - layout(showlegend=FALSE,updatemenus = list(chart_type)) + p1<-plot_ly() - p2<-plot_ly() %>% add_trace(x=alignment_counts_df$V1,y=as.numeric(alignment_counts_df$V2),type="bar", color = I("darkblue"), name = "#reads", visible=TRUE) %>% - add_trace(x=alignment_rates_df$V1,y=as.numeric(alignment_rates_df$V2),type="bar", color = I("darkred"), name = ":reads", visible=FALSE) %>% - layout(showlegend=FALSE,updatemenus = list(chart_type), title="Alfred statistics") + for (n in c(1:(ncol(error_counts_df)-1))) { + + p1<-p1 %>% add_trace(x=error_counts_df$V0, y=as.numeric(unlist(error_counts_df[,..n])), name = colnames(error_counts_df[,..n]), legendgroup= colnames(error_counts_df[,..n]),type="bar", visible=TRUE) + + } + + for (n in c(1:(ncol(error_rates_df)-1))) { + + p1<-p1 %>% add_trace(x=error_rates_df$V0, y=as.numeric(unlist(error_rates_df[,..n])), name = colnames(error_rates_df[,..n]), legendgroup= colnames(error_rates_df[,..n]), type="bar", visible=FALSE) + + } + + p1<-p1%>%layout(showlegend=FALSE,updatemenus = list(chart_type), barmode = 'group') + + + p2<-plot_ly() + + for (n in c(1:(ncol(alignment_counts_df)-1))) { + + p2<-p2 %>% add_trace(x=alignment_counts_df$V0, y=as.numeric(unlist(alignment_counts_df[,..n])), name = colnames(alignment_counts_df[,..n]), legendgroup= colnames(alignment_counts_df[,..n]), type="bar", visible=TRUE) + + } + + for (n in c(1:(ncol(alignment_rates_df)-1))) { + + p2<-p2 %>% add_trace(x=alignment_rates_df$V0, y=as.numeric(unlist(alignment_rates_df[,..n])), name = colnames(alignment_rates_df[,..n]), legendgroup= colnames(alignment_rates_df[,..n]), type="bar", visible=FALSE) + + } + + p2<-p2%>%layout(showlegend=TRUE,updatemenus = list(chart_type), barmode = 'group') - fig<- subplot(p1,p2,nrows = 2,titleX=TRUE, titleY=TRUE,margin=.05) message("[",Sys.time(),"]"," storing plot to file") diff --git a/R/heatmap.R b/R/heatmap.R index 3e334a6..edb0cf7 100644 --- a/R/heatmap.R +++ b/R/heatmap.R @@ -22,16 +22,16 @@ heatmap<-function(summary,time=1,platform="minion",out) { getPromethIONChannelMap <- function() { chunk <- function(i) { - + m <- matrix(seq_len(250), ncol=10, byrow=TRUE) m + i - + } - + layout <- do.call(cbind, lapply(seq(from=0, to=2750, by=250), chunk)) channelMap <- as.data.frame(cbind(channel = as.vector(t(layout)), which(layout == as.vector(layout), arr.ind = TRUE))) return(channelMap) - + } @@ -41,7 +41,7 @@ heatmap<-function(summary,time=1,platform="minion",out) { #layout <- layout[rev(seq(10)), ] #channelMap <- as.data.frame(cbind(channel = as.vector(t(layout)), which(layout == as.vector(layout), arr.ind = TRUE))) #return(channelMap) - + #} @@ -49,22 +49,22 @@ heatmap<-function(summary,time=1,platform="minion",out) { # build the map for R9.4.1 flowcell, as a long-form dataframe blockCalc <- function(i) { - + m <- matrix(seq(i, i + 63, by = 1), ncol = 8, byrow = TRUE) cbind(m[seq(5, 8, by = 1), ], m[seq(4), rev(seq(8))]) - + } - + layout <- do.call(rbind, lapply(c(1, 449, 385, 321, 257, 193, 129, 65), blockCalc)) - + # transpose the layout for cleaner presentation ... #layout <- t(layout) channelMap <- as.data.frame(cbind(channel = as.vector(t(layout)), which( layout == as.vector(layout), arr.ind = TRUE))) return(channelMap) - + } - + summary<-normalizePath(file.path(summary)) out<-file.path(out) @@ -113,23 +113,23 @@ heatmap<-function(summary,time=1,platform="minion",out) { channels_activity_overtime<-channels_activity_overtime_pass<-matrix(0,ncol=n_channels, nrow=length(bins)-1) channels_activity<-channels_activity_pass<-rep(0,n_channels) - + for (i in c(1:n_channels)) { - + subtab<-tab[channel==i] channels_activity[i]<-sum(subtab$sequence_length_template) channels_activity_pass[i]<-sum(subtab[passes_filtering == TRUE]$sequence_length_template) - + for (l in c(1:(length(bins)-1))) { - + from<-bins[l] to<-bins[l+1] subsubtab<-subtab[template_unix > from & template_unix <= to] channels_activity_overtime[l,i]<-sum(subsubtab$sequence_length_template) channels_activity_overtime_pass[l,i]<-sum(subsubtab[passes_filtering == TRUE]$sequence_length_template) - + } - + } channels_activity_labels<-matrix("0",nrow=max(layout$row),ncol=max(layout$col)) @@ -141,8 +141,8 @@ heatmap<-function(summary,time=1,platform="minion",out) { c<-layout$col[m] label<-layout$channel[m] channels_activity_labels[r,c]<-as.character(label) - channels_activity_map[r,c]<-channels_activity[m] - channels_activity_map_pass[r,c]<-channels_activity_pass[m] + channels_activity_map[r,c]<-channels_activity[label] + channels_activity_map_pass[r,c]<-channels_activity_pass[label] } @@ -183,7 +183,7 @@ heatmap<-function(summary,time=1,platform="minion",out) { showlegend=TRUE,updatemenus = list(chart_type), title="#bp per channel (over time and space)") fig<- subplot(p1,p2,nrows = 2,titleX=TRUE, titleY=TRUE,margin=.05) - + message("[",Sys.time(),"]"," storing plot to file") htmlwidgets::saveWidget(fig, out)