Title: | Build Powerful Pivot Tables and Dynamically Slice & Dice your Data |
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Description: | Build powerful pivot tables (aka Pivot Grid, Pivot Chart, Cross-Tab) and dynamically slice & dice / drag 'n' drop your data. 'rpivotTable' is a wrapper of 'pivottable', a powerful open-source Pivot Table library implemented in 'JavaScript' by Nicolas Kruchten. Aligned to 'pivottable' v2.19.0. |
Authors: | Enzo Martoglio [aut, cre], Nicolas Kruchten [ctb, cph], Nagarajan Chinnasamy [ctb, cph], Kenton Russell [ctb] |
Maintainer: | Enzo Martoglio <[email protected]> |
License: | MIT + file LICENSE |
Version: | 0.3.0 |
Built: | 2025-03-05 03:47:24 UTC |
Source: | https://github.com/smartinsightsfromdata/rpivottable |
Change localization for rpivotTable
to support non-English language.
For more discussion, see
pivottable Localization.
change_locale(pivottable = NULL, locale = NULL)
change_locale(pivottable = NULL, locale = NULL)
pivottable |
|
locale |
|
rpivotTable
object
library(rpivotTable) change_locale(rpivotTable(mtcars),"pt")
library(rpivotTable) change_locale(rpivotTable(mtcars),"pt")
Widget render function for use in Shiny
renderRpivotTable(expr, env = parent.frame(), quoted = FALSE)
renderRpivotTable(expr, env = parent.frame(), quoted = FALSE)
expr |
rpivotTable expression |
env |
environment |
quoted |
logical, default = FALSE |
# A simple example - this goes in the server part of a shiny application # output$pivot <- renderRpivotTable({ # rpivotTable(data = canadianElections , rows = c( "Province"),cols="Party", # vals = "votes", aggregatorName = "Sum", rendererName = "Table", # width="100%", height="500px") # })
# A simple example - this goes in the server part of a shiny application # output$pivot <- renderRpivotTable({ # rpivotTable(data = canadianElections , rows = c( "Province"),cols="Party", # vals = "votes", aggregatorName = "Sum", rendererName = "Table", # width="100%", height="500px") # })
Use pivottable.js in R with the power and convenience of a htmlwidget.
rpivotTable(data, rows = NULL, cols = NULL, aggregatorName = NULL, vals = NULL, rendererName = NULL, sorter = NULL, exclusions = NULL, inclusions = NULL, locale = "en", subtotals = FALSE, ..., width = 800, height = 600, elementId = NULL)
rpivotTable(data, rows = NULL, cols = NULL, aggregatorName = NULL, vals = NULL, rendererName = NULL, sorter = NULL, exclusions = NULL, inclusions = NULL, locale = "en", subtotals = FALSE, ..., width = 800, height = 600, elementId = NULL)
data |
data.frame or data.table (R>=1.9.6 for safety) with data to use in the pivot table |
rows |
String name of the column in the data.frame to prepopulate the rows of the pivot table. |
cols |
String name of the column in the data.frame to prepopulate the columns of the pivot table. |
aggregatorName |
String name of the pivottable.js aggregator to prepopulate the pivot table. |
vals |
String name of the column in the data.frame to use with |
rendererName |
List name of the renderer selected, e.g. Table, Heatmap, Treemap etc. |
sorter |
String name this allows to implement a javascript function to specify the ad hoc sorting of certain values. See vignette for an example. It is especially useful with time divisions like days of the week or months of the year (where the alphabetical order does not work). |
exclusions |
String this optional parameter allows to filter the members of a particular dimension "by exclusion". Using the 'Titanic' example, to display only the "1st", "2nd" and "3rd" members in the "Class" dimension, it is convenient to filter by exclusion using 'exclusions=list(Class="Crew")'. Please note that this only pre-selects the visible filter(s) on the pivot table: the other dimension members are still availabe for selection if needed. |
inclusions |
List this optional parameter allows to filter the members of a particular dimension "by inclusion". Using the 'Titanic' example, to display only the "Crew" member in the "Class" dimension, it is convenient to filter by inclusion using 'inclusions=list(Class="Crew")'. Please note that this only pre-selects the visible filter(s) on the pivot table: the other dimension members are still availabe for selection if needed. |
locale |
|
subtotals |
Logical this optional parameter allows use of the pivottable subtotal plugin. Using this parameter will set all renderer names to the english locale. |
... |
list other parameters that
can be passed to |
width |
width parameter |
height |
height parameter |
elementId |
String valid CSS selector id for the rpivotTable container. |
# use Titanic dataset provided in base R - simple creation with just data rpivotTable( Titanic ) # prepopulate multiple columns and multiple rows rpivotTable( Titanic, rows = c("Class","Sex"), cols = c("Age","Survived" ) ) # A more complete example: rpivotTable( Titanic, rows = "Survived", cols = c("Class","Sex"), aggregatorName = "Sum as Fraction of Columns", vals = "Freq", rendererName = "Table Barchart" ) # An example with inclusions and exclusions filters: rpivotTable( Titanic, rows = "Survived", cols = c("Class","Sex"), aggregatorName = "Sum as Fraction of Columns", inclusions = list( Survived = list("Yes")), exclusions= list( Class = list( "Crew")), vals = "Freq", rendererName = "Table Barchart" )
# use Titanic dataset provided in base R - simple creation with just data rpivotTable( Titanic ) # prepopulate multiple columns and multiple rows rpivotTable( Titanic, rows = c("Class","Sex"), cols = c("Age","Survived" ) ) # A more complete example: rpivotTable( Titanic, rows = "Survived", cols = c("Class","Sex"), aggregatorName = "Sum as Fraction of Columns", vals = "Freq", rendererName = "Table Barchart" ) # An example with inclusions and exclusions filters: rpivotTable( Titanic, rows = "Survived", cols = c("Class","Sex"), aggregatorName = "Sum as Fraction of Columns", inclusions = list( Survived = list("Yes")), exclusions= list( Class = list( "Crew")), vals = "Freq", rendererName = "Table Barchart" )
Widget output function for use in Shiny
rpivotTableOutput(outputId, width = "100%", height = "500px")
rpivotTableOutput(outputId, width = "100%", height = "500px")
outputId |
Shiny output ID |
width |
width default '100%' |
height |
height default '500px' |
# A simple example - this goes in the ui part of a shiny application # rpivotTableOutput("pivot")
# A simple example - this goes in the ui part of a shiny application # rpivotTableOutput("pivot")