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metaplot  

Data-Driven Plot Design
View on CRAN: Click here


Download and install metaplot package within the R console
Install from CRAN:
install.packages("metaplot")

Install from Github:
library("remotes")
install_github("cran/metaplot")

Install by package version:
library("remotes")
install_version("metaplot", "0.8.4")



Attach the package and use:
library("metaplot")
Maintained by
Tim Bergsma
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-17
Latest Update: 2024-02-18
Description:
Designs plots in terms of core structure. See 'example(metaplot)'. Primary arguments are (unquoted) column names; order and type (numeric or not) dictate the resulting plot. Specify any y variables, x variable, any groups variable, and any conditioning variables to metaplot() to generate density plots, boxplots, mosaic plots, scatterplots, scatterplot matrices, or conditioned plots. Use multiplot() to arrange plots in grids. Wherever present, scalar column attributes 'label' and 'guide' are honored, producing fully annotated plots with minimal effort. Attribute 'guide' is typically units, but may be encoded() to provide interpretations of categorical values (see '?encode'). Utility unpack() transforms scalar column attributes to row values and pack() does the reverse, supporting tool-neutral storage of metadata along with primary data. The package supports customizable aesthetics such as such as reference lines, unity lines, smooths, log transformation, and linear fits. The user may choose between trellis and ggplot output. Compact syntax and integrated metadata promote workflow scalability.
How to cite:
Tim Bergsma (2017). metaplot: Data-Driven Plot Design. R package version 0.8.4, https://cran.r-project.org/web/packages/metaplot. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.1 (2017-04-17 20:30), 0.1.2 (2017-04-22 01:09), 0.1.5 (2017-07-11 00:01), 0.1.6 (2017-08-14 17:19), 0.2.1 (2017-10-15 17:20), 0.2.7 (2017-12-01 18:56), 0.3.1 (2018-01-03 18:28), 0.3.2 (2018-01-07 23:45), 0.4.0 (2018-01-21 17:34), 0.4.1 (2018-02-03 23:35), 0.4.4 (2018-02-20 09:43), 0.4.6 (2018-03-06 01:00), 0.4.9 (2018-04-01 00:32), 0.7.0 (2018-08-09 15:00), 0.7.1 (2018-08-09 18:10), 0.8.0 (2018-09-30 15:10), 0.8.2 (2019-02-04 18:10), 0.8.3 (2019-04-26 00:53)
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