statsExpressions | Tidy data frames and expressions with statistical summaries | Data Visualization library
kandi X-RAY | statsExpressions Summary
kandi X-RAY | statsExpressions Summary
The {statsExpressions} package has two key aims:. Statistical packages exhibit substantial diversity in terms of their syntax and expected input type. This can make it difficult to switch from one statistical approach to another. For example, some functions expect vectors as inputs, while others expect dataframes. Depending on whether it is a repeated measures design or not, different functions might expect data to be in wide or long format. Some functions can internally omit missing values, while other functions error in their presence. Furthermore, if someone wishes to utilize the objects returned by these packages downstream in their workflow, this is not straightforward either because even functions from the same package can return a list, a matrix, an array, a dataframe, etc., depending on the function. This is where {statsExpressions} comes in: It can be thought of as a unified portal through which most of the functionality in these underlying packages can be accessed, with a simpler interface and no requirement to change data format.
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statsExpressions Key Features
statsExpressions Examples and Code Snippets
Community Discussions
Trending Discussions on statsExpressions
QUESTION
What are your preferred techniques for combining a table with a plot in one image using R? I remember using tableGrob() and either patchwork or cowplot months ago but cannot remember the details.
This example uses the ggstatsplot package. I would like to add the correlation coefficients to the correlogram (correlation plot).
...ANSWER
Answered 2021-Jun-07 at 18:49The key elemnent is tableGrob()
from gridExtra
package!
We could use grid.arrange()
.
For the table use tableGrob()
to create a table like the plot of a data frame. Then you can use it with grid.arrange()
function.
QUESTION
I have a package that creates calls containing stats details that can then be displayed in plots.
Here is a simple use case:
...ANSWER
Answered 2020-Feb-25 at 16:35I'm not sure what you intend to do to the stats_exp
after you've manipulated the other data but this could a potential solution:
QUESTION
My package builds on Linux are failing with the following compilation error for rstan
package:
ANSWER
Answered 2020-Jan-23 at 08:10After trying out many many different permutations and combinations, I finally got Travis builds to succeed, not only by compiling rstan
properly but also installing other packages that need compilation so that the log doesn't exceed maximum limit or time out.
Here is the new yaml
file for anyone who may run into a similar issue in the future:
https://github.com/IndrajeetPatil/statsExpressions/blob/master/.travis.yml
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