Explore >> Select a destination
|
You are here 
|
ggplot2.tidyverse.org | ||
| | | | |
pillar.r-lib.org
|
|
| | | | | glimpse() is like a transposed version of print(): columns run down the page, and data runs across. This makes it possible to see every column in a data frame. It's a little like str() applied to a data frame but it tries to show you as much data as possible. (And it always shows the underlying data, even when applied to a remote data source.) See format_glimpse() for details on the formatting. | |
| | | | |
datascienceworkshops.com
|
|
| | | | | Blog article by Jeroen Janssens. Dec 13, 2019. 6 min read. Because ggplot2 is the de-facto package for creating high-quality data visualizations in R, and has been for a long time, there exists many excellent resources for learning ggplot2, including: the ggplot2 website, a two-page cheat sheet (PDF), Stack Overflow, and books such as ggplot2: Elegant Graphics for Data Analysis and R Graphics Cookbook: Practical Recipes for Visualizing Data. A ggplot2 cheat sheet (PDF) Two days ago, I published... | |
| | | | |
dplyr.tidyverse.org
|
|
| | | | | Most data operations are done on groups defined by variables. group_by() takes an existing tbl and converts it into a grouped tbl where operations are performed "by group". ungroup() removes grouping. | |
| | | | |
summerseminarphilstat.com
|
|
| | | A key recognition among those who write on the statistical crisis in science is that the pressure to publish attention-getting articles can incentivize researchers to produce eye-catching but inadequately scrutinized claims. We may see much the same sensationalism in broadcasting metastatistical research, especially if it takes the form of scapegoating or banning statistical significance. A... | ||
