R tableGrob heatmap or conditional formating in column
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Is there a way to create a similar effect to excel's conditional formating -> color scales in order to present a table in grid.table/tablegrob object? The color indicator should be red for the lower values and green for the higher values in the column. That object format is needed so the table can be presented in grid format along with plots.
You can do this within
tableGrob. You create a vector of colours, and then assign these to the cells.
So using the data from clemens's answer:
library(gridExtra) library(grid) # define colour vector # change `vec` argument of `findInterval` to suit your cut-points cols <- c("red" ,"orange", "green") [findInterval(my_data$Balance, c(-Inf, 1e4, 2e4, Inf))] # or # https://stackoverflow.com/questions/34517031/red-amber-green-sequential-palette-for-treemap-in-r cols <- colorRampPalette(c("red", "yellow", "green"))(nrow(my_data))[rank(my_data$Balance)] # create tales individually for each column # this make it easy to assign colours to rows t1 <- tableGrob(my_data["Balance"], theme=ttheme_default( core=list(bg_params = list(fill=cols)), colhead = list(bg_params=list(fill="white", col="grey90"))), rows = NULL) t2 <- tableGrob(my_data["ID"], theme=ttheme_default( core=list(bg_params = list(fill="white", col="grey90")), colhead = list(bg_params=list(fill="white", col="grey90"))), rows = NULL) # join tables tab <- gtable_combine(t2, t1) # grid.newpage() ; grid.draw(tab) # if also want to add black border # https://stackoverflow.com/questions/31506294/gtable-put-a-black-line-around-all-cells-in-the-table-body library(gtable) tab <- gtable::gtable_add_grob(tab, grobs = rectGrob(gp=gpar(fill=NA, lwd=2)), t = 1, b = nrow(tab), l = 1, r = ncol(tab)) grid.newpage() ; grid.draw(tab)
Conditional Formatting of a Table in R, You will note that we have to transpose the data with the t() function because the image function plots the rows on the x axis on the columns on I was looking at this link, that produces a grid table and does text formatting. Is there any way I can do conditional formatting? For e.g. Set background color based on the value Show negative v
You could use
tableHTML for that:
for the dataset:
set.seed(666) my_data <- data.frame(ID = 101:117, Balance = sample(-1000:60000, 17)) ID Balance 1 101 46237 2 102 11030 3 103 58657 4 104 11280 5 105 21034 6 106 44296 7 107 58697 8 108 29381 9 109 -188 10 110 14854 11 111 46322 12 112 -2 13 113 4839 14 114 7670 15 115 11875 16 116 48475 17 117 1228
You can than create an HTML table using the
tableHTML() function. Then apply a colour rank with theme
RAG to the 2nd column of the table:
my_data %>% tableHTML(rownames = FALSE, widths = c(50, 100)) %>% add_css_conditional_column(columns = 2, colour_rank_theme = 'RAG', decreasing = TRUE)
The result looks like this:
Make a Heatmap Table using ztable, That object format is needed so the table can be presented in grid format along /questions/50058750/r-tablegrob-heatmap-or-conditional-formating-in-column. gtable: Put a black line around all cells in the table body. I'm trying to put a relatively heavy line (say lwd = 2 size) around the body of a table using gridExtra. Here's a MWE slightly modified from this documentation page. gtable is doing the work under the hood but the documentation for gtable is thin; looking at the code didn't help much.
The most natural solution for that is to use a
Would yield a heatmap with some default color options. You can change the color using an additional parameter (e.g
col = cm.colors(256)) or your own color palette to achieve the desired output.
Add conditional formatting to cells, Conditional Formatting. You can select rows with logical expression. You can select cols with column name. ztable(head(iris),caption="Table 3. Create a heat map using Conditional Formatting to visualize a pattern in your data set. In this video tutorial we have a table of rainfall data. Just looking at a table of numbers does not show us
A solution I found was to do the following.. this only works if the data is in order and you list the count of rows(17 based on your screenshot):
theme=ttheme_default( core=list(bg_params = list(fill=blues9[1:17]) or theme=ttheme_default( core=list(bg_params = list(fill=blues9[1:17])
Hope that helps. I am also seeking for alternatives myself
R tableGrob heatmap или условное форматирование в столбце, wb. A workbook object. sheet. A name or index of a worksheet. cols. Columns to apply conditional formatting to. rows. Rows to apply conditional formatting to. 1 Style One Column Based on Another Column. By default, formatStyle() uses the values of the column(s) specified by the columns argument to style column(s). You can also style a column conditional on the values of a different column using the valueColumns argument.
Tablegrob Ggplot2, Спасибо. r datagrid heatmap conditional-formatting grob64 Вы можете сделать это в tableGrob . Вы создаете create tales individually for each column # this make it easy to assign colours to rows t1 heatmap(data.matrix(mtcars)). Now I’ll construct such a heat map using Excel’s Conditional Formatting Feature. I set up a 2 column by 5 row grid, and inserted random numbers between 1000 and 5000. To represent a 2×5 grid of square plots, I adjusted the rows and columns to be the same size, in this case 50 pixels.
How do I conditionally format a table so that the negative figures , Learn the basics of how to create visualizations using the popular R package ggplot2. Hi, I want to display Conditional color Formatting in table with more than 3 Instead of the manual work, you can use conditional formatting to highlight cells based on the value. This way, in case you change the values in the cells, the color/format of the cell would automatically update the heat map based on the pre-specified rules in conditional formatting. In this tutorial, you’ll learn how to:
We do not have conditional formatting available. You can go with heatmap feature for the specific column by going into Style > Column number Excel “heat map” visualizations are popular for certain data sets. The performance of the DOW over a historical time period is one of those data “fits”. So, let’s explore how that visualization is created — fortunately Excel makes it pretty straightforward and simple.
- Thank you for the input. Do you know if the html can be used in grid graphics along with ggplots for reporting in pdf (all in the same page)?
- it depends on the conversion engine. the easiest solution would be to use the
webshotpackage to create a screenshot of the HTML. you can save it using