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Factor levels, other image formats #5

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58 changes: 43 additions & 15 deletions R/ggplot_shiny.R
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Original file line number Diff line number Diff line change
Expand Up @@ -95,6 +95,9 @@ ggplot_shiny <- function( dataset = NA ) {
selectInput("group", "Group (or colour)", choices = ""),
selectInput("facet_row", "Facet Row", choices = ""),
selectInput("facet_col", "Facet Column", choices = ""),
checkboxInput(inputId = "factor_sort",
label = strong("Sort factor levels by their appearance in data"),
value = FALSE),
conditionalPanel(
condition = "input.Type == 'Boxplot' || input.Type == 'Violin' ||
input.Type == 'Dot + Error'",
Expand Down Expand Up @@ -173,11 +176,14 @@ ggplot_shiny <- function( dataset = NA ) {
type = "tabs",
tabPanel("Data upload", dataTableOutput("out_table")),
tabPanel("ggplot",
mainPanel(
downloadButton("download_plot_PDF",
"Download pdf of figure"),
plotOutput("out_ggplot"))
),
mainPanel(
div(style="display:inline-block;vertical-align:top;width:150px;", downloadButton("download_plot", "Download figure")),
div(style="display:inline-block;vertical-align:top;width:150px;", selectInput(inputId = "image_format",
label = NULL, choices = c("SVG", "PDF", "PNG"), selected = "SVG")
),
plotOutput("out_ggplot")
)
),
tabPanel("Plotly", plotlyOutput("out_plotly")),
tabPanel("R-code", verbatimTextOutput("out_r_code")),
tabPanel("Info",
Expand Down Expand Up @@ -448,7 +454,7 @@ p(
is.double(x),
df_shiny()))

# Make list of variables that are not factors
# Make list of variables that are factors
nms_fact <- names(Filter(function(x) is.factor(x) ||
is.logical(x) ||
is.character(x),
Expand Down Expand Up @@ -522,9 +528,28 @@ p(
} else if (input$data_input == 4){
data <- dataset
}
return(data)

return(data)
})


#####################################
####### DATA PROCESSING #############
#####################################

data_processing <- function(data) {
data <- as.data.frame(data)
if (input$factor_sort) {
nms_fact <- names(Filter(function(x) is.factor(x) || is.logical(x) || is.character(x), data))
for (colname in nms_fact) {
fcol <- data[,colname]
data[,colname] <- factor(fcol, levels = unique(fcol))
}
}
return(data)
}


#####################################
####### CREATE GRAPH-CODE ###########
#####################################
Expand Down Expand Up @@ -647,7 +672,7 @@ p(
)
}

# Replace name of variables by values
# Replace names of variables by values
p <- str_replace_all(
p,
c("input\\$y_var" = input$y_var,
Expand Down Expand Up @@ -699,13 +724,15 @@ p(
height = height, {
# evaluate the string RCode as code
df <- df_shiny()
df <- data_processing(df)
p <- eval(parse(text = string_code()))
p
})

output$out_plotly <- renderPlotly({
# evaluate the string RCode as code
df <- df_shiny()
df <- data_processing(df)
p <- eval(parse(text = string_code()))
ggplotly(p)
})
Expand Down Expand Up @@ -748,18 +775,19 @@ p(
#### GENERATE R-CODE FOR OUTPUT #####
#####################################

output$download_plot_PDF <- downloadHandler(
filename <- function() {
paste("Figure_ggplotGUI_", Sys.time(), ".pdf", sep = "")
output$download_plot <- downloadHandler(
filename = function() {
ext <- tolower(input$image_format)
paste0("Figure_ggplotGUI_", Sys.time(), ".", ext)
},
content <- function(file) {
content = function(file) {
df <- df_shiny()
df <- data_processing(df)
p <- eval(parse(text = string_code()))
ggsave(file, p, width = width_download(),
height = height_download(), units = "cm")
},
contentType = "application/pdf" # MIME type of the image
)
}
)

# End R-session when browser closed
session$onSessionEnded(stopApp)
Expand Down