pixiedust | Tables So Beautifully Fine-Tuned You Will Believe | Grid library

For the purpose of publishing I often need both a PDF and a HTML version of my work including regression tables and I want to use R Markdown. For PDF the stargazer and the texreg packages produce wonderful tables. Now trying to generate an equally attractive HTML output I'm facing different issues.

1. Both methods for HTML output are lacking significance stars in the notes. As they are automatically generated I don't know how to escape them. (I think this might be a minor problem and therefore I didn't want to split it into seperate questions.) Note: Sub-question has been answered here.

2. Before creating the definite output I often have to change my data or do some formatting. I find it quite annoying to always flip-flop the options between type='html' to type='pdf'manually. I wonder if there might be a more feasible way to combine the html/pdf output , e.g. a case-to-case switch in texreg / stargazer with a tidy output?

I tried the promising pander-solution, but it seems not to be working anymore since 2014. Also pixiedust ist not very satisfying, it's becoming somewhat manual at the end and not exactly what I want. An other example seems to refer only to normal tables.

Any help is extremely appreciated, thanks!

Here is a summary of my attempts for knitr in HTML and PDF:

I installed Pixiedust using conda. I am trying to use in Jupyter Lab. But When I run a comand it only diplays: Ipython.core.display.Javascript object. The following picture illustrates the error:

I am trying to change the output when we are using getprop in adb. I know that the init will read the system properties from /default.prop /system/build.prop /system/default.prop /data/local.prop. In my case, I only got the /default.prop and /system/build.prop. So what I did is get the android source code and add this to the build/target/product/core.mk.

In IBM Bluemix I have created a DSX PySpark notebook, with Python 2.6 and Spark 2.0. I am using IBM dashDB as my data storage. I can authenticate and read tables successfully but when I try to write back to a new table I was getting this exact same issue as described in this link .

To fix this it was suggested to register a new custom dashDB JDBC dialect using a Scala bridge with the pixiedust library, but when I reach that stage in my Notebook I keep getting the following error:

Relevant to the problem, I have a dataset with factors of states ("Massachusetts", "California", etc) and 2 fields of values. I would like to create a graph for each state with a table below it showing the associated fields and the difference between those fields. I found that using a loop seems to require a results = 'asis' option and a cat(" \n") at the end of the loop to print the images. That works OK. However, the only way I can seem to get a table is if I use xtable or kable. I would like to use pixiedust to color and otherwise beautify the table.

Here is a minimal example:

I'm hitting issues trying to use spark packages, for example:

I'm trying to access data on IBM COS from Data Science Experience based on this blog post.

First, I select 1.0.8 version of stocator ...

I am trying to add space between two tables and three graphs on an rmarkdown file that is knit into html. I was able to add space between two tables and add a header to the second table as follows

This is a follow up from this question. I've imported the following jars into my notebook:

pixiedust.installPackage("http://central.maven.org/maven2/com/typesafe/scala-logging/scala-logging-slf4j_2.10/2.1.2/scala-logging-slf4j_2.10-2.1.2.jar") pixiedust.installPackage("http://central.maven.org/maven2/com/typesafe/scala-logging/scala-logging-api_2.10/2.1.2/scala-logging-api_2.10-2.1.2.jar")

But when I do an extremely basic command using tensorframes, I get the following error: