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05. Finding and Formatting

Chris Bailiss

2021-06-26

In This Vignette

Finding and Formatting

This vignette explains how to find parts of a table, i.e. one or more cells in the body of the table.

This is often useful to retrieve either a specific value/values, or to change the appearance of specific headings/cells - similar to the conditional formatting capabilities of many off-the-shelf tools.

Example Table

The following table is used as the basis of the examples in the rest of this vignette:

# aggregate the sample data to make a small data frame
library(basictabler)
library(dplyr)
tocsummary <- bhmsummary %>%
  group_by(TOC) %>%
  summarise(OnTimeArrivals=sum(OnTimeArrivals),
            OnTimeDepartures=sum(OnTimeDepartures),
            TotalTrains=sum(TrainCount)) %>%
  ungroup() %>%
  mutate(OnTimeArrivalPercent=OnTimeArrivals/TotalTrains*100,
         OnTimeDeparturePercent=OnTimeDepartures/TotalTrains*100) %>%
  arrange(TOC)

# formatting values (explained in the introduction vignette)
columnFormats=list(NULL, list(big.mark=","), list(big.mark=","), list(big.mark=","), "%.1f", "%.1f")

# create the table and render
tbl <- BasicTable$new()
tbl$addData(tocsummary, firstColumnAsRowHeaders=TRUE,
            explicitColumnHeaders=c("TOC", "On-Time Arrivals", "On-Time Departures",
                                    "Total Trains", "On-Time Arrival %", "On-Time Departure %"),
            columnFormats=columnFormats)
tbl$renderTable()

Getting Cells By Row and/or Column Numbers

The getCells() function can be used to retrieve one or more cells by row/column number in the body of the table. This function has the following parameters:

The arguments can be specified in two different ways depending on the value of the specifyCellsAsList argument. The specifyCellsAsList can have the values TRUE or FALSE, TRUE is the default value.

The getCells() function returns a list of cell objects.

Getting cells when specifyCellsAsList=TRUE

To get cells when specifyCellsAsList=TRUE:

Examples of the above are given below. The retrieved cells are highlighted in orange by specifying a different style.

Retrieving whole rows of cells when specifyCellsAsList=TRUE

Retrieving the first and third rows:

# aggregate the sample data to make a small data frame
library(basictabler)
library(dplyr)
tocsummary <- bhmsummary %>%
  group_by(TOC) %>%
  summarise(OnTimeArrivals=sum(OnTimeArrivals),
            OnTimeDepartures=sum(OnTimeDepartures),
            TotalTrains=sum(TrainCount)) %>%
  ungroup() %>%
  mutate(OnTimeArrivalPercent=OnTimeArrivals/TotalTrains*100,
         OnTimeDeparturePercent=OnTimeDepartures/TotalTrains*100) %>%
  arrange(TOC)

# formatting values (explained in the introduction vignette)
columnFormats=list(NULL, list(big.mark=","), list(big.mark=","), list(big.mark=","), "%.1f", "%.1f")

# create the table
tbl <- BasicTable$new()
tbl$addData(tocsummary, firstColumnAsRowHeaders=TRUE,
            explicitColumnHeaders=c("TOC", "On-Time Arrivals", "On-Time Departures",
                                    "Total Trains", "On-Time Arrival %", "On-Time Departure %"),
            columnFormats=columnFormats)

# get the cells and apply styling
cells <- tbl$getCells(rowNumbers=c(1, 3))
tbl$setStyling(cells=cells, declarations=list("background-color"="#FFCC66"))
tbl$renderTable()

Retrieving whole columns of cells when specifyCellsAsList=TRUE

Retrieving the second column:

# aggregate the sample data to make a small data frame
library(basictabler)
library(dplyr)
tocsummary <- bhmsummary %>%
  group_by(TOC) %>%
  summarise(OnTimeArrivals=sum(OnTimeArrivals),
            OnTimeDepartures=sum(OnTimeDepartures),
            TotalTrains=sum(TrainCount)) %>%
  ungroup() %>%
  mutate(OnTimeArrivalPercent=OnTimeArrivals/TotalTrains*100,
         OnTimeDeparturePercent=OnTimeDepartures/TotalTrains*100) %>%
  arrange(TOC)

# formatting values (explained in the introduction vignette)
columnFormats=list(NULL, list(big.mark=","), list(big.mark=","), list(big.mark=","), "%.1f", "%.1f")

# create the table
tbl <- BasicTable$new()
tbl$addData(tocsummary, firstColumnAsRowHeaders=TRUE,
            explicitColumnHeaders=c("TOC", "On-Time Arrivals", "On-Time Departures",
                                    "Total Trains", "On-Time Arrival %", "On-Time Departure %"),
            columnFormats=columnFormats)

# get the cells and apply styling
cells <- tbl$getCells(columnNumbers=2)
tbl$setStyling(cells=cells, declarations=list("background-color"="#FFCC66"))
tbl$renderTable()

Retrieving specific cells when specifyCellsAsList=TRUE

Retrieving the raw/formatted values of the cell in the third column on the second row:

# aggregate the sample data to make a small data frame
library(basictabler)
library(dplyr)
tocsummary <- bhmsummary %>%
  group_by(TOC) %>%
  summarise(OnTimeArrivals=sum(OnTimeArrivals),
            OnTimeDepartures=sum(OnTimeDepartures),
            TotalTrains=sum(TrainCount)) %>%
  ungroup() %>%
  mutate(OnTimeArrivalPercent=OnTimeArrivals/TotalTrains*100,
         OnTimeDeparturePercent=OnTimeDepartures/TotalTrains*100) %>%
  arrange(TOC)

# formatting values (explained in the introduction vignette)
columnFormats=list(NULL, list(big.mark=","), list(big.mark=","), list(big.mark=","), "%.1f", "%.1f")

# create the table
tbl <- BasicTable$new()
tbl$addData(tocsummary, firstColumnAsRowHeaders=TRUE,
            explicitColumnHeaders=c("TOC", "On-Time Arrivals", "On-Time Departures",
                                    "Total Trains", "On-Time Arrival %", "On-Time Departure %"),
            columnFormats=columnFormats)

# get the cells and apply styling
cells <- tbl$getCells(cellCoordinates=list(c(2, 3)))
tbl$setStyling(cells=cells, declarations=list("background-color"="#FFCC66"))
cat("The raw value of the cell is", cells[[1]]$rawValue, "and the formatted value is", cells[[1]]$formattedValue, ".")
## The raw value of the cell is 2348 and the formatted value is 2,348 .
tbl$renderTable()

Retrieving multiple cells (2nd row-3rd column, 3rd row-4th column and 5th row-6th column):

# aggregate the sample data to make a small data frame
library(basictabler)
library(dplyr)
tocsummary <- bhmsummary %>%
  group_by(TOC) %>%
  summarise(OnTimeArrivals=sum(OnTimeArrivals),
            OnTimeDepartures=sum(OnTimeDepartures),
            TotalTrains=sum(TrainCount)) %>%
  ungroup() %>%
  mutate(OnTimeArrivalPercent=OnTimeArrivals/TotalTrains*100,
         OnTimeDeparturePercent=OnTimeDepartures/TotalTrains*100) %>%
  arrange(TOC)

# formatting values (explained in the introduction vignette)
columnFormats=list(NULL, list(big.mark=","), list(big.mark=","), list(big.mark=","), "%.1f", "%.1f")

# create the table
tbl <- BasicTable$new()
tbl$addData(tocsummary, firstColumnAsRowHeaders=TRUE,
            explicitColumnHeaders=c("TOC", "On-Time Arrivals", "On-Time Departures",
                                    "Total Trains", "On-Time Arrival %", "On-Time Departure %"),
            columnFormats=columnFormats)

# get the cells and apply styling
cells <- tbl$getCells(cellCoordinates=list(c(2, 3), c(3, 4), c(5, 6)))
tbl$setStyling(cells=cells, declarations=list("background-color"="#FFCC66"))
tbl$renderTable()

Retrieving a mixture of rows, columns and cells when specifyCellsAsList=TRUE

Retrieving the 2nd row, 4th column and 5th row-6th column cell:

# aggregate the sample data to make a small data frame
library(basictabler)
library(dplyr)
tocsummary <- bhmsummary %>%
  group_by(TOC) %>%
  summarise(OnTimeArrivals=sum(OnTimeArrivals),
            OnTimeDepartures=sum(OnTimeDepartures),
            TotalTrains=sum(TrainCount)) %>%
  ungroup() %>%
  mutate(OnTimeArrivalPercent=OnTimeArrivals/TotalTrains*100,
         OnTimeDeparturePercent=OnTimeDepartures/TotalTrains*100) %>%
  arrange(TOC)

# formatting values (explained in the introduction vignette)
columnFormats=list(NULL, list(big.mark=","), list(big.mark=","), list(big.mark=","), "%.1f", "%.1f")

# create the table
tbl <- BasicTable$new()
tbl$addData(tocsummary, firstColumnAsRowHeaders=TRUE,
            explicitColumnHeaders=c("TOC", "On-Time Arrivals", "On-Time Departures",
                                    "Total Trains", "On-Time Arrival %", "On-Time Departure %"),
            columnFormats=columnFormats)

# get the cells and apply styling
cells <- tbl$getCells(rowNumbers=2, columnNumbers=4, cellCoordinates=list(c(5, 6)))
tbl$setStyling(cells=cells, declarations=list("background-color"="#FFCC66"))
tbl$renderTable()

Getting cells when specifyCellsAsList=FALSE

To get cells when specifyCellsAsList=FALSE:

Examples of the above are given below. The retrieved cells are highlighted in green by specifying a different style.

Retrieving whole rows of cells when specifyCellsAsList=FALSE

When retrieving just rows, the rowNumbers argument is specified the same irrespective of whether specifyCellsAsList is TRUE or FALSE.

Retrieving the first and third rows:

# aggregate the sample data to make a small data frame
library(basictabler)
library(dplyr)
tocsummary <- bhmsummary %>%
  group_by(TOC) %>%
  summarise(OnTimeArrivals=sum(OnTimeArrivals),
            OnTimeDepartures=sum(OnTimeDepartures),
            TotalTrains=sum(TrainCount)) %>%
  ungroup() %>%
  mutate(OnTimeArrivalPercent=OnTimeArrivals/TotalTrains*100,
         OnTimeDeparturePercent=OnTimeDepartures/TotalTrains*100) %>%
  arrange(TOC)

# formatting values (explained in the introduction vignette)
columnFormats=list(NULL, list(big.mark=","), list(big.mark=","), list(big.mark=","), "%.1f", "%.1f")

# create the table
tbl <- BasicTable$new()
tbl$addData(tocsummary, firstColumnAsRowHeaders=TRUE,
            explicitColumnHeaders=c("TOC", "On-Time Arrivals", "On-Time Departures",
                                    "Total Trains", "On-Time Arrival %", "On-Time Departure %"),
            columnFormats=columnFormats)

# get the cells and apply styling
cells <- tbl$getCells(specifyCellsAsList=FALSE, rowNumbers=c(1, 3))
tbl$setStyling(cells=cells, declarations=list("background-color"="#00FF00"))
tbl$renderTable()

Retrieving whole columns of cells when specifyCellsAsList=FALSE

When retrieving just columns, the columnNumbers argument is specified the same irrespective of whether specifyCellsAsList is TRUE or FALSE.

Retrieving the second column:

# aggregate the sample data to make a small data frame
library(basictabler)
library(dplyr)
tocsummary <- bhmsummary %>%
  group_by(TOC) %>%
  summarise(OnTimeArrivals=sum(OnTimeArrivals),
            OnTimeDepartures=sum(OnTimeDepartures),
            TotalTrains=sum(TrainCount)) %>%
  ungroup() %>%
  mutate(OnTimeArrivalPercent=OnTimeArrivals/TotalTrains*100,
         OnTimeDeparturePercent=OnTimeDepartures/TotalTrains*100) %>%
  arrange(TOC)

# formatting values (explained in the introduction vignette)
columnFormats=list(NULL, list(big.mark=","), list(big.mark=","), list(big.mark=","), "%.1f", "%.1f")

# create the table
tbl <- BasicTable$new()
tbl$addData(tocsummary, firstColumnAsRowHeaders=TRUE,
            explicitColumnHeaders=c("TOC", "On-Time Arrivals", "On-Time Departures",
                                    "Total Trains", "On-Time Arrival %", "On-Time Departure %"),
            columnFormats=columnFormats)

# get the cells and apply styling
cells <- tbl$getCells(specifyCellsAsList=FALSE, columnNumbers=2)
tbl$setStyling(cells=cells, declarations=list("background-color"="#00FF00"))
tbl$renderTable()

Retrieving specific cells when specifyCellsAsList=FALSE

When retrieving cells, the rowNumbers and columnNumbers arguments are specified differently depending on whether specifyCellsAsList is TRUE or FALSE.

Retrieving the raw/formatted values of the cell in the third column on the second row:

# aggregate the sample data to make a small data frame
library(basictabler)
library(dplyr)
tocsummary <- bhmsummary %>%
  group_by(TOC) %>%
  summarise(OnTimeArrivals=sum(OnTimeArrivals),
            OnTimeDepartures=sum(OnTimeDepartures),
            TotalTrains=sum(TrainCount)) %>%
  ungroup() %>%
  mutate(OnTimeArrivalPercent=OnTimeArrivals/TotalTrains*100,
         OnTimeDeparturePercent=OnTimeDepartures/TotalTrains*100) %>%
  arrange(TOC)

# formatting values (explained in the introduction vignette)
columnFormats=list(NULL, list(big.mark=","), list(big.mark=","), list(big.mark=","), "%.1f", "%.1f")

# create the table
tbl <- BasicTable$new()
tbl$addData(tocsummary, firstColumnAsRowHeaders=TRUE,
            explicitColumnHeaders=c("TOC", "On-Time Arrivals", "On-Time Departures",
                                    "Total Trains", "On-Time Arrival %", "On-Time Departure %"),
            columnFormats=columnFormats)

# get the cells and apply styling
cells <- tbl$getCells(specifyCellsAsList=FALSE, rowNumbers=2, columnNumbers=3)
tbl$setStyling(cells=cells, declarations=list("background-color"="#00FF00"))
cat("The raw value of the cell is", cells[[1]]$rawValue, "and the formatted value is", cells[[1]]$formattedValue, ".")
## The raw value of the cell is 2348 and the formatted value is 2,348 .
tbl$renderTable()

Retrieving multiple cells (2nd row-3rd column, 3rd row-4th column and 5th row-6th column):

# aggregate the sample data to make a small data frame
library(basictabler)
library(dplyr)
tocsummary <- bhmsummary %>%
  group_by(TOC) %>%
  summarise(OnTimeArrivals=sum(OnTimeArrivals),
            OnTimeDepartures=sum(OnTimeDepartures),
            TotalTrains=sum(TrainCount)) %>%
  ungroup() %>%
  mutate(OnTimeArrivalPercent=OnTimeArrivals/TotalTrains*100,
         OnTimeDeparturePercent=OnTimeDepartures/TotalTrains*100) %>%
  arrange(TOC)

# formatting values (explained in the introduction vignette)
columnFormats=list(NULL, list(big.mark=","), list(big.mark=","), list(big.mark=","), "%.1f", "%.1f")

# create the table
tbl <- BasicTable$new()
tbl$addData(tocsummary, firstColumnAsRowHeaders=TRUE,
            explicitColumnHeaders=c("TOC", "On-Time Arrivals", "On-Time Departures",
                                    "Total Trains", "On-Time Arrival %", "On-Time Departure %"),
            columnFormats=columnFormats)

# get the cells and apply styling
cells <- tbl$getCells(specifyCellsAsList=FALSE, rowNumbers=c(2, 3, 5), columnNumbers=c(3, 4, 6))
tbl$setStyling(cells=cells, declarations=list("background-color"="#00FF00"))
tbl$renderTable()

Retrieving a mixture of rows, columns and cells when specifyCellsAsList=FALSE

When retrieving cells, the rowNumbers and columnNumbers arguments are specified differently depending on whether specifyCellsAsList is TRUE or FALSE.

Retrieving the 2nd row, 4th column and 5th row-6th column cell:

# aggregate the sample data to make a small data frame
library(basictabler)
library(dplyr)
tocsummary <- bhmsummary %>%
  group_by(TOC) %>%
  summarise(OnTimeArrivals=sum(OnTimeArrivals),
            OnTimeDepartures=sum(OnTimeDepartures),
            TotalTrains=sum(TrainCount)) %>%
  ungroup() %>%
  mutate(OnTimeArrivalPercent=OnTimeArrivals/TotalTrains*100,
         OnTimeDeparturePercent=OnTimeDepartures/TotalTrains*100) %>%
  arrange(TOC)

# formatting values (explained in the introduction vignette)
columnFormats=list(NULL, list(big.mark=","), list(big.mark=","), list(big.mark=","), "%.1f", "%.1f")

# create the table
tbl <- BasicTable$new()
tbl$addData(tocsummary, firstColumnAsRowHeaders=TRUE,
            explicitColumnHeaders=c("TOC", "On-Time Arrivals", "On-Time Departures",
                                    "Total Trains", "On-Time Arrival %", "On-Time Departure %"),
            columnFormats=columnFormats)

# get the cells and apply styling
cells <- tbl$getCells(specifyCellsAsList=FALSE, rowNumbers=c(2, NA, 5), columnNumbers=c(NA, 4, 6))
tbl$setStyling(cells=cells, declarations=list("background-color"="#00FF00"))
tbl$renderTable()

Finding Cells

The findCells() function is used to search for cells within the body of the table matching one or more criteria. The function returns a list of cell objects. This function has the following parameters:

In addition, the following parameters can also be used with pt$findCells():

findCells() is typically used for conditional formatting, as illustrated in the next section.

Conditional Formatting

The findCells() and getCells() functions can be used to help conditionally format a table.

For example, to highlight in red those cells in the basic example table that have a percentage value between 0% and 40%:

# aggregate the sample data to make a small data frame
library(basictabler)
library(dplyr)
tocsummary <- bhmsummary %>%
  group_by(TOC) %>%
  summarise(OnTimeArrivals=sum(OnTimeArrivals),
            OnTimeDepartures=sum(OnTimeDepartures),
            TotalTrains=sum(TrainCount)) %>%
  ungroup() %>%
  mutate(OnTimeArrivalPercent=OnTimeArrivals/TotalTrains*100,
         OnTimeDeparturePercent=OnTimeDepartures/TotalTrains*100) %>%
  arrange(TOC)

# formatting values (explained in the introduction vignette)
columnFormats=list(NULL, list(big.mark=","), list(big.mark=","), list(big.mark=","), "%.1f", "%.1f")

# create the table
tbl <- BasicTable$new()
tbl$addData(tocsummary, firstColumnAsRowHeaders=TRUE,
            explicitColumnHeaders=c("TOC", "On-Time Arrivals", "On-Time Departures",
                                    "Total Trains", "On-Time Arrival %", "On-Time Departure %"),
            columnFormats=columnFormats)

# apply the formatting
cells <- tbl$findCells(columnNumbers=5:6, minValue=0, maxValue=40, includeNull=FALSE, includeNA=FALSE)
tbl$setStyling(cells=cells, declarations=list("background-color"="#FFC7CE", "color"="#9C0006"))
tbl$renderTable()

Extending the above example so that on-time arrival/departure percentages are coloured as follows:

# aggregate the sample data to make a small data frame
library(basictabler)
library(dplyr)
tocsummary <- bhmsummary %>%
  group_by(TOC) %>%
  summarise(OnTimeArrivals=sum(OnTimeArrivals),
            OnTimeDepartures=sum(OnTimeDepartures),
            TotalTrains=sum(TrainCount)) %>%
  ungroup() %>%
  mutate(OnTimeArrivalPercent=OnTimeArrivals/TotalTrains*100,
         OnTimeDeparturePercent=OnTimeDepartures/TotalTrains*100) %>%
  arrange(TOC)

# formatting values (explained in the introduction vignette)
columnFormats=list(NULL, list(big.mark=","), list(big.mark=","), list(big.mark=","), "%.1f", "%.1f")

# create the table
tbl <- BasicTable$new()
tbl$addData(tocsummary, firstColumnAsRowHeaders=TRUE,
            explicitColumnHeaders=c("TOC", "On-Time Arrivals", "On-Time Departures",
                                    "Total Trains", "On-Time Arrival %", "On-Time Departure %"),
            columnFormats=columnFormats)

# apply the red formatting
cells <- tbl$findCells(columnNumbers=5:6, minValue=0, maxValue=40, includeNull=FALSE, includeNA=FALSE)
tbl$setStyling(cells=cells, declarations=list("background-color"="#FFC7CE", "color"="#9C0006"))
# apply the yellow formatting
cells <- tbl$findCells(columnNumbers=5:6, minValue=40, maxValue=60, includeNull=FALSE, includeNA=FALSE)
tbl$setStyling(cells=cells, declarations=list("background-color"="#FFEB9C", "color"="#9C5700"))
# apply the green formatting
cells <- tbl$findCells(columnNumbers=5:6, minValue=60, maxValue=100, includeNull=FALSE, includeNA=FALSE)
tbl$setStyling(cells=cells, declarations=list("background-color"="#C6EFCE", "color"="#006100"))
tbl$renderTable()

The mapStyling() function can be used to map the colours using a continuous colour range instead of fixed colours:

# aggregate the sample data to make a small data frame
library(basictabler)
library(dplyr)
tocsummary <- bhmsummary %>%
  group_by(TOC) %>%
  summarise(OnTimeArrivals=sum(OnTimeArrivals),
            OnTimeDepartures=sum(OnTimeDepartures),
            TotalTrains=sum(TrainCount)) %>%
  ungroup() %>%
  mutate(OnTimeArrivalPercent=OnTimeArrivals/TotalTrains*100,
         OnTimeDeparturePercent=OnTimeDepartures/TotalTrains*100) %>%
  arrange(TOC)

# formatting values (explained in the introduction vignette)
columnFormats=list(NULL, list(big.mark=","), list(big.mark=","), list(big.mark=","), "%.1f", "%.1f")

# create the table
tbl <- BasicTable$new()
tbl$addData(tocsummary, firstColumnAsRowHeaders=TRUE,
            explicitColumnHeaders=c("TOC", "On-Time Arrivals", "On-Time Departures",
                                    "Total Trains", "On-Time Arrival %", "On-Time Departure %"),
            columnFormats=columnFormats)

# apply the conditional formatting
cells <- tbl$getCells(rowNumbers=2:5, columnNumbers=5:6, matchMode="combinations")
tbl$mapStyling(cells=cells, styleProperty="background-color", valueType="color", mapType="continuous",
               mappings=list(25, "#FFC7CE", 40, "#FFEB9C", 60, "#C6EFCE", 100))
tbl$mapStyling(cells=cells, styleProperty="color", valueType="color", mapType="continuous",
               mappings=list(25, "#9C0006", 40, "#9C5700", 60, "#006100", 100))

# render
tbl$renderTable()

Further Reading

The full set of vignettes is:

  1. Introduction
  2. Working with Cells
  3. Outputs
  4. Styling
  5. Finding and Formatting
  6. Shiny
  7. Excel Export

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.