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wilson/inst/templates/geneView_wilson.Rmd
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### {{ title }} | |
<!-- Component created on {{ date }} --> | |
```{r} | |
{{ env_id }} = readRDS("envs/{{ env_id }}.rds") | |
is_shiny <- identical(knitr::opts_knit$get("rmarkdown.runtime"), "shiny") | |
``` | |
```{r, eval=!is_shiny} | |
# Parameters for wilson::create_geneview() | |
# params <- list() | |
"%ni%" <- Negate("%in%") | |
additional_arguments <- {{ env_id }}$additional_arguments | |
if("plot.type" %ni% names({{ env_id }}$additional_arguments)){ | |
additional_arguments$plot.type <- "line" | |
} | |
if("facet.target" %ni% names({{ env_id }}$additional_arguments)){ | |
additional_arguments$facet.target <- "gene" | |
} | |
if("facet.cols" %ni% names({{ env_id }}$additional_arguments)){ | |
additional_arguments$facet.cols <- 3 | |
} | |
if("color" %ni% names({{ env_id }}$additional_arguments)){ | |
color <- RColorBrewer::brewer.pal(8, "Accent") | |
additional_arguments$color <- color | |
} | |
# force static | |
additional_arguments$plot.method <- "static" | |
# set variables | |
countTable <- {{ env_id }}$countTable | |
group_by <- {{ env_id }}$group_by[1] | |
# create data.tables "data" and "grouping" from provided data | |
data <- data.table::data.table("features" = rownames(countTable), countTable) | |
grouping <- data.table::data.table("keys" = colnames(countTable), "factor" = group_by[[1]]) | |
additional_arguments$data <- data | |
additional_arguments$grouping <- grouping | |
# Provide data for download | |
#i2dash::embed_var(data) | |
# Render plot | |
output_list <- do.call(wilson::create_geneview, additional_arguments) | |
plot <- output_list$plot | |
plot | |
``` | |
```{r, eval=is_shiny} | |
######### | |
library(shinyWidgets) | |
############# | |
ui_list <- list() | |
# select type of plot | |
ui_list <- rlist::list.append(ui_list, | |
selectInput("select_type_{{ env_id }}", label = "Type of Plot:", | |
choices = c("line", "box", "violin", "bar"), selected = "line")) | |
# subset features | |
ui_list <- rlist::list.append(ui_list, | |
selectInput("select_subset_{{ env_id }}", | |
label = "Select features:", | |
choices = rownames({{ env_id }}$countTable), | |
multiple = TRUE) | |
) | |
# selection field for group_by | |
if ({{ env_id }}$group_by_selection){ | |
ui_list <- rlist::list.append(ui_list, | |
selectInput("select_group_by_{{ env_id }}", label = "Select grouping:", | |
choices = names({{ env_id }}$group_by))) | |
} | |
# selection grouping by | |
ui_list <- rlist::list.append(ui_list, | |
selectInput("select_by_{{ env_id }}", | |
label = "Grouping by:", | |
choices = c("gene", "condition"), | |
selected = "gene", | |
multiple = FALSE) | |
) | |
# selection column number of plot | |
ui_list <- rlist::list.append(ui_list, | |
sliderInput("colnumber_{{ env_id }}", label = h3("Plot columns:"), min = 1, max = 7, value = 3) | |
) | |
# Download link | |
ui_list <- rlist::list.append(ui_list, tags$div(tags$br(), downloadButton('downloadData_{{ env_id }}', 'Download data'))) | |
# | |
# Create reactive data table | |
# | |
df_{{ env_id }} <- shiny::reactive({ | |
# Parameters for wilson::create_geneview() | |
# params <- list() | |
"%ni%" <- Negate("%in%") | |
additional_arguments <- {{ env_id }}$additional_arguments | |
# type of plot | |
additional_arguments$plot.type <- input$select_type_{{ env_id }} | |
# type of grouping by | |
additional_arguments$facet.target <- input$select_by_{{ env_id }} | |
# number of columns in plot | |
additional_arguments$facet.cols <- input$colnumber_{{ env_id }} | |
if("color" %ni% names({{ env_id }}$additional_arguments)){ | |
color <- RColorBrewer::brewer.pal(8, "Accent") | |
additional_arguments$color <- color | |
} | |
# force static | |
additional_arguments$plot.method <- "static" | |
# Set values for 'group_by' | |
if( !{{ env_id }}$group_by_selection ) { | |
group_by <- {{ env_id }}$group_by[1] | |
} else { | |
group_by <- {{ env_id }}$group_by[input$select_group_by_{{ env_id }}] | |
} | |
# subset countTable by chosen features | |
countTable <- {{ env_id }}$countTable | |
if(!is.null(input$select_subset_{{ env_id }})){ | |
subset_features <- input$select_subset_{{ env_id }} | |
if(length(subset_features) > 1){ | |
countTable <- countTable[subset_features,] | |
} else if(length(subset_features) == 1){ | |
countTable <- countTable[subset_features,,drop = FALSE] | |
} | |
} | |
# create data.tables "data" and "grouping" from provided data | |
data <- data.table::data.table("features" = rownames(countTable), countTable) | |
grouping <- data.table::data.table("keys" = colnames(countTable), "factor" = group_by[[1]]) | |
additional_arguments$data <- data | |
additional_arguments$grouping <- grouping | |
return(list("params" = additional_arguments, "data" = data, "grouping" = grouping)) | |
}) | |
# | |
# Download | |
# | |
############ | |
# To do: provide both data.frames for download | |
output$downloadData_{{ env_id }} <- downloadHandler( | |
filename = paste('data-', Sys.Date(), '.csv', sep=''), | |
content = function(file) { | |
write.csv(df_{{ env_id }}()$data, file) | |
} | |
) | |
# | |
# Output | |
# | |
output$plot_{{ env_id }} <- shiny::renderPlot({ | |
if(!is.null(input$select_subset_{{ env_id }})){ | |
output_list <- do.call(wilson::create_geneview, df_{{ env_id }}()$params) | |
plot <- output_list$plot | |
plot | |
} | |
# convert to plotly object for automatic resizing | |
}) | |
# | |
# Layout of component | |
# | |
shiny::fillRow(flex = c(NA, 1), | |
dropdownButton(do.call(shiny::inputPanel, ui_list), | |
circle = TRUE, status = "danger", icon = icon("gear"), width = "300px", | |
tooltip = tooltipOptions(title = "Click, to change plot settings:")), | |
plotOutput("plot_{{ env_id }}") | |
) | |
``` |