The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The mschart
package provides a framework for easily create
charts for ‘Microsoft PowerPoint’ presentations and ‘Microsoft Word’
documents. It has to be used with package officer
that will produce the charts in new or existing PowerPoint or Word
documents. With ‘Microsoft Charts’, the data is integrated into the
document and linked to the chart. The result can be edited, annotated
and resized. If the data is updated in the document, the chart is also
updated.
This is a basic example which shows you how to create a scatter plot.
library(mschart)
<-
scatter ms_scatterchart(
data = iris, x = "Sepal.Length",
y = "Sepal.Width", group = "Species"
)<- chart_settings(scatter, scatterstyle = "marker") scatter
Then use package officer
to send the object as a
chart.
library(officer)
<- read_pptx()
doc <- add_slide(doc, layout = "Title and Content", master = "Office Theme")
doc <- ph_with(doc, value = scatter, location = ph_location_fullsize())
doc
print(doc, target = "example.pptx")
At any moment, you can type
print(your_chart, preview = TRUE)
to preview the chart in a
temporary PowerPoint file. This requires to have a PowerPoint Viewer
installed on the machine.
You can get the development version from GitHub:
::install_github("ardata-fr/mschart") devtools
Or the latest version on CRAN:
install.packages("mschart")
When you file a bug report, please spend some time making it easy for me to follow and reproduce. The more time you spend on making the bug report coherent, the more time I can dedicate to investigate the bug as opposed to the bug report.
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.
Health stats visible at Monitor.