I created a datatable in a flexdashboard with a checkbox, but the checkbox flows off the page. I tried to adjust the padding {data-padding = 10} but nothing changed. Below is the code and a picture of what the dashboard looks like. How do I move everything to the right so that it's aligned with the title of the page?
---
title: "School Dashboard"
author: "Shannon Coulter"
output:
flexdashboard::flex_dashboard:
orientation: rows
social: menu
source_code: embed
theme: spacelab
---
```{r}
library(tidyverse)
library(crosstalk)
library(DT)
library(flexdashboard)
```
Student Lookup
================================================================================
### Chronic Absenteeism Lookup
```{r ca-lookup, echo=FALSE, message=FALSE, warning=FALSE}
ican_tab <- tibble(
year = c("2022", "2022", "2022", "2022", "2022"),
date = c("March", "March","March","March","March"),
school = c("ABC", "CDE","ABC","DEF","GHI"),
grade = c("6th", "7th","8th","4th","5th"),
race_eth = c("White", "Hispanic","White","Filipino","White"),
abs_levels = c("Not At-Risk of Chronic Absenteeism", "At-Risk of Chronic Absenteeism",
"Severe Chronic Absenteeism", "Severe Chronic Absenteeism",
"Moderate Chronic Absenteeism")
)
sd <- SharedData$new(ican_tab)
bscols(list(
filter_checkbox("abs_levels", "Level", sd, ~ abs_levels, inline = TRUE),
datatable(
sd,
extensions = c("Buttons",
"Scroller"),
options = list(
autoWidth = TRUE,
scrollY = F,
columnDefs = list(list(
className = 'dt-center',
targets = c(2, 3, 4, 5)
)),
lengthMenu = c(5, 10, 25, 100),
dom = "Blrtip",
deferRender = TRUE,
scrollY = 300,
scroller = TRUE,
buttons = list('copy',
'csv',
'pdf',
'print')
),
filter = "top",
style = "bootstrap",
class = "compact",
width = "100%",
colnames = c(
"Year",
"Date",
"School",
"Grade",
"Race",
"Level"
)
) %>%
formatStyle('abs_levels',
backgroundColor = styleEqual(
unique(ican_tab$abs_levels),
c(
"#73D055ff",
"#95D840FF",
"#B8DE29FF",
"#DCE319FF"
)
))
))
```
[![enter image description here][1]][1]
The easiest way to address this is probably to add style tags to your dashboard. You can put this anywhere. I usually put it right after the YAML or right after my first R chunk, where I just place my knitr options and libraries. This does not go inside an R chunk.
<style>
body { /*push content away from far right and left edges*/
margin-right: 2%;
margin-left: 2%;
}
</style>
Update based on your updated question and comments
I don't have the content around your table, so I will give you a few options that work. For the most part, any one option won't be enough. You can mix and match the options that work best for you.
This is what I've got for the original table:
Option 1: you can use CSS to push the table away from the edges (as in my original response
Option 2: change the font sizes
Option 3: constrain the size of the datatable htmlwidget
Option 4: manually make the columns narrower
Option 5: alter the filter labels (while keeping the same filters and data)
Aesthetically looks the best? It depends on what else is on the dashboard.
I think you will need the original CSS (option 1, in my original answer) regardless of what other options you choose to use.
Option 1 is above
Option 2
To change the font sizes, you have to modify the filter_checkbox and the datatable after they're made. Instead of presenting all of the programming code, I'm going to show you want to add or modify and how I broke down the objects.
Your original code for filter_checkbox remains the same. However, you'll assign it to an object, instead of including it in bscols.
Most of the code in your datatable will remain the same. there is an addition to the parameter options. I've included the original and change for that parameter.
# filter checkbox object
fc = filter_checkbox(...parameters unchanged...)
fc$attribs$style <- css(font.size = "90%") # <-change the font size
dt = datatable(
...
...
options = list( # this will be modified
autoWidth = TRUE, # <- same
scrollY = F, # <- same
initComplete = JS( # <- I'M NEW! change size of all font
"function(settings, json) {",
"$(this.api().table().container()).css({'font-size': '90%'});",
"}"),
columnDefs = list( # <- same
list(className = 'dt-center', targets = c(2, 3, 4, 5))),
...
... # remainder of datatable and formatStyles() original code
)
# now call them together
bscols(list(fc, dt))
The top version is with 90% font size, whereas the bottom is the original table.
Option 3
To constrain the size of the datatable widget, you'll need to create the object outside of bscols, like I did in option 2. If you were to name your widget dt as in my example, this is how you could constrain the widget size. This example sets the datatable to be 50% of the width and height viewer screen (or 1/4 of the webpage). Keep in mind that the filters are not part of the widget, so in all, the table is still more than 1/4th of the webpage. You will have to adjust the size for your purposes, of course. I recommend using a dynamic sizing mechanism like vw, em, rem, and the like.
dt$sizingPolicy$defaultWidth <- "50vw"
dt$sizingPolicy$defaultHeight <- "40vh"
The top image has options 1, 2, and 3; the bottom is the original table.
Option 4
To modify the width of the columns, you can add this modification to the parameter options in you call to datatable. This could be good, because most of the columns don't require as much width as the last column. However, if you change the font size or scale the table, it will change the font size dynamically, so this option may not be necessary.
Despite using em here, in the course of this going from R code to an html_document, it was changed to pixels. So this is not dynamically sized. (Not a great idea! Sigh!)
columnDefs = list(
list(className = 'dt-center', targets = c(2, 3, 4, 5)),
list(width = '5em', targets = c(1,2,3,4,5))), # <- I'm NEW!
Option 5
For this option, I took the programming behind crosstalk::filter_checkbox() and modified the code a bit. I changed the function to filter_checkbox2(). If you use it, you can render it both ways and just keep the one you like better.
This first bit of code is the three functions that work together to create a filter_checkbox object with my modifications so that you can have a label that isn't exactly the same as the levels.
It's important to note that the filters are alphabetized by datatable. It doesn't matter if they're factors, ordered, etc. If you use this new parameter groupLabels, they need to be in an order that aligns with the levels when they're alphabetized.
I put this code in an include=F chunk by itself:
# this is nearly identical to the original function
filter_checkbox2 = function (id, label, sharedData, group,
groupLabels = NULL, # they're optional
allLevels = FALSE, inline = FALSE, columns = 1) {
options <- makeGroupOptions(sharedData, group,
groupLabels, allLevels) # added groupLabels
labels <- options$items$label
values <- options$items$value
options$items <- NULL
makeCheckbox <- if (inline)
inlineCheckbox
else blockCheckbox
htmltools::browsable(attachDependencies(tags$div(id = id,
class = "form-group crosstalk-input-checkboxgroup crosstalk-input",
tags$label(class = "control-label", `for` = id, label),
tags$div(class = "crosstalk-options-group",
crosstalk:::columnize(columns,
mapply(labels, values, FUN = function(label, value) {
makeCheckbox(id, value, label)
}, SIMPLIFY = FALSE, USE.NAMES = FALSE))),
tags$script(type = "application/json", `data-for` = id,
jsonlite::toJSON(options, dataframe = "columns",
pretty = TRUE))),
c(list(crosstalk:::jqueryLib()),crosstalk:::crosstalkLibs())))
}
inlineCheckbox = function (id, value, label) { # unchanged
tags$label(class = "checkbox-inline",
tags$input(type = "checkbox",
name = id, value = value),
tags$span(label))
}
# added groupLabels (optional)
makeGroupOptions = function (sharedData, group, groupLabels = NULL, allLevels) {
df <- sharedData$data(withSelection = FALSE, withFilter = FALSE,
withKey = TRUE)
if (inherits(group, "formula"))
group <- lazyeval::f_eval(group, df)
if (length(group) < 1) {
stop("Can't form options with zero-length group vector")
}
lvls <- if (is.factor(group)) {
if (allLevels) {levels(group) }
else { levels(droplevels(group)) }
}
else { sort(unique(group)) }
matches <- match(group, lvls)
vals <- lapply(1:length(lvls), function(i) {
df$key_[which(matches == i)]
})
lvls_str <- as.character(lvls)
if(is.null(groupLabels)){groupLabels = lvls_str} # if none provided
if(length(groupLabels) != length(lvls_str)){ # if the # labels != the # groups
message("Warning: The number of group labels does not match the number of groups.\nGroups were used as labels.")
groupLabels = lvls_str
}
options <- list(items = data.frame(value = lvls_str, label = groupLabels, # changed from lvls_str
stringsAsFactors = FALSE), map = setNames(vals, lvls_str),
group = sharedData$groupName())
options
}
When I used this new version of I changed label = "Level" to label = "Chronic Absenteeism Level". Then removed " Chronic Absenteeism" from the filter labels. The data and the datatable does not change, just the filter checkbox labels.
filter_checkbox2("abs_levels", "Chronic Absenteeism Level",
sd, ~ abs_levels, inline = TRUE,
groupLabels = unlist(unique(ican_tab$abs_levels)) %>%
str_replace(" Chronic Absenteeism", "") %>% sort())
The first image is your table with options 1, 2, 3, and 5 (not 4).
The top version in the next image has options 1, 2, 3, and 5 (not 4). The bottom is the original table. After that
If I've left anything unclear or if have any other questions, let me know.
Related
I've this Shiny app:
The filter size is too narrow so I can't see the whole words.
I want to make the filter box wider without changing the table/column size, just the filter box.
this is my code:
library(DT)
iris2 = iris[c(1:10, 51:60, 101:110), ]
# no clear buttons
datatable(iris2, options = list(autoWidth = TRUE), filter = list(
position = 'top', clear = FALSE
))
Is it possible?
I have tried everything, but am stumped trying to get a DT datatable to fill the panel of a flexdashboard. It employs a scroller, but I cannot find any way to force the table to be the full height of the panel. In the image linked below, it is the table on the right that causes problems and seems to be related to the fact that it is in a loop (inputting a table per tab). When I exclude the loop and just do one table, it will fill the panel. I can play about with some scroller parameters to make it larger, but then it will not be full panel on every screen. I just want some way to make it auto-fill the tabbed panel size each time. Thanks in advance for your help.
flex image - see right panel
```
## XXX Detailed Reports {.tabset}
``` {r, echo=FALSE, warning=FALSE, results="asis"}
for (i in 1:length(c_list)){
cty=c("XXX","FFF","GGG","TTT","RRR","PPP","LLL","WWW","EEE")
cat("### ", cty[i], "\n")
cat("#### ",cty[i],paste("Week ",floor(yday(as.Date(format(Sys.Date() - wday(Sys.Date() + 1), "%d %B %Y"),"%d %B %Y"))/7)+1,sep="")," Other Text here", "\n")
x = data.frame(c_list[i]) %>% mutate_if(is.character, function(x) {Encoding(x) <- 'latin1'; return(x)}) # remove strange sysmbols
tb=x %>%
DT::datatable(
extensions = c("Buttons", "Responsive", "Scroller", "RowGroup"),
options = list(dom = 'Bfrtip',
buttons = c('excel', "csv"),
rowGroup = list(dataSrc = 0),
deferRender = TRUE,
#scrollY = 800,
#scroller = TRUE,
scrollCollapse = FALSE,
columnDefs = list(list(visible=FALSE, targets=c(0))),
paging=FALSE,
searching=FALSE,
info=FALSE),
selection = 'none',
rownames=F) %>%
formatStyle(columns = colnames(.$x$data), `font-size` = "12px")
print(htmltools::tagList(tb))
#cat("\n")
}
```
I created a data table in Shiny with the first column editable. I can enter texts but they will disappear after I switch input values and then come back. For example, I entered "testing 001" for the Category of "Male Premium BladeRazor System" and everything seemed fine (see the picture). However, after I switch my Category to another value and then come back to "Male Premium BladeRazor System", the entered text of "testing 001" would be gone. My code is pretty long, and I cut part of it for your reference. Any help will be highly appreciated. Thanks.
Example of text edits
output$tabofrandom <- DT::renderDataTable(
if (is.null(names(tab7data$dat))) {
datatable(tab7data$dat)
}
else {
datatable(isolate(tab7data$dat),
editable = list(target = 'cell', disable = list(columns = c(1,2, 3, 4,5,6,7,8,9))),
rownames = FALSE,
selection = list(mode = "single", target = "row", selected = previousSelection),
extensions = c('Buttons'),
options = list(searching=FALSE,
scrollX=T,
scrollY=277,
#processing=FALSE,
autoWidth = TRUE,
displayStart = previousPage,
dom = 'Blfrtip',
# pageLength = 5,
lengthChange = FALSE,
lengthMenu = list(c(5,10, -1), c("5","10", "All")),
buttons = list(c('pageLength','excel'),list(extend = 'colvis')),
# buttons = c('excel','colvis'),
columnDefs=list(list(targets=c(2,4,5,8),
render = JS("function(data){return data.replace(/;/g,
'<br>');}")),
...
))
) %>%
formatStyle(1:10, 'text-align' = 'left') %>%
formatStyle(1:10, 'vertical-align'='top')
} )
...
observeEvent(input[["tabofrandom_cell_edit"]], {
info <- input[["tabofrandom_cell_edit"]]
info$col=info$col+1
previousSelection <<- input$tabofrandom_rows_selected
previousPage <<- input$tabofrandom_rows_current[1] - 1
tab7data$dat<-isolate(DT::editData(tab7data$dat,info))
})
...
You have to set the server option of renderDataTable to FALSE or to use a proxy:
proxy <- DT::dataTableProxy("tabofrandom")
observeEvent(input[["tabofrandom_cell_edit"]], {
info <- input[["tabofrandom_cell_edit"]]
......
tab7data$dat <- DT::editData(tab7data$dat, info, proxy)
})
You don't have to do info$col + 1 for editData.
I'm displaying a list in a cell of a DT table :
mylist <- paste0("name",1:20)
data <- data.frame(id = 1, members = I(list(mylist)))
DT::datatable(data)
The list appears on a single very long line:
I would like to have an automatic line break so that the list is split in many lines inside the cell, preferably according to the width of the cell.
[EDIT] this is the expected result, see accepted Answer :
I tried without success to set DT ColumnDefs options :
DT::datatable(data,options = list(
autoWidth= T,
columnDefs = list(list(width = "200" ))
))
Looks tricky as there seem to be an issue on width option
Thanks for your help
Instead of using a list you can use the string "name1, name2, ...".
mylist <- paste0("name",1:20)
data <- data.frame(id = 1, members = toString(mylist))
datatable(data, options = list(
columnDefs = list(
list(width = 200, targets = 2)
)
))
This code works and the pivot table is drawn but the treemap is huge and I need it to render to about 50% of the current size, 500px would be fine for now. It seems to ignore the size settings. One pivot table overlaps the other when drawn.
output$pivot3 <- renderRpivotTable({
rpivotTable(data = dotsData,
rows="county",
cols="shortBreath",
width="500px",
height="500px",
aggregatorName = "Count",
aggregators = list(
Percentage = htmlwidgets::JS('$.pivotUtilities.aggregators["Count as Fraction of Columns"]'),
Count = htmlwidgets::JS('$.pivotUtilities.aggregators["Count"]')),
sorters="function(attr) {
var sortAs = $.pivotUtilities.sortAs;
if (attr == \"county\") {
return sortAs;
}
}")
})
I left a comment not that long ago of a method in which you could control the size by changing the JS. However, I have an R-based solution now.
I forked the Cran version of this package and modified it. My version of this package does allow you to control the size of the Treemap.
To install my modified packaged, use the following:
devtools::install_github("fraupflaume/rpivotTable")
You'll call the library the same way you did with the Cran version. To modify the treemap, you need to know that this is a D3 graph. All of the other graphs in this package are C3.
The following example reflects how you would indicate a specific size for either D3 or C3. (I've included several controllable options for C3 graphs, as well.)
library(rpivotTable)
rpivotTable(mtcars, rows = c("mpg", "am"), cols = "cyl",
width = "90%", height = "40%",
rendererOptions = list(
c3 = list(legend = list(show = FALSE),
data = list(labels = TRUE),
options = list(responsive = TRUE,
maintainAspectRatio = FALSE),
size = list(width = "600",
height = "500")),
d3 = list(size = list(width = "500", height = "500"))))
I expanded the viewer pane so that you could see it no longer fills the viewer.
This is the same view, but with the D3 controls removed.