https://github.com/kwstat/desplot

Plotting experimental designs for field experiments
https://github.com/kwstat/desplot

rstats

Last synced: about 2 months ago
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Plotting experimental designs for field experiments

• Host: GitHub
• URL: https://github.com/kwstat/desplot
• Owner: kwstat
• License: other
• Created: 2015-12-10T21:19:44.000Z (about 9 years ago)
• Default Branch: main
• Last Pushed: 2024-07-17T17:51:30.000Z (7 months ago)
• Last Synced: 2024-12-23T05:34:29.033Z (about 2 months ago)
• Topics: rstats
• Language: HTML
• Homepage: http://kwstat.github.io/desplot/
• Size: 2.4 MB
• Stars: 22
• Watchers: 7
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-r-dataviz - desplot - Functions for plotting experimental designs of field trials in agriculture. (ggplot / Domain-specific)

README

        
# desplot 

[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/desplot)](https://cran.r-project.org/package=desplot)

[![CRAN_Downloads](https://cranlogs.r-pkg.org/badges/desplot)](https://cranlogs.r-pkg.org/badges/desplot)

Homepage: https://kwstat.github.io/desplot

Repository: https://github.com/kwstat/desplot

`desplot` makes it easy to plot experimental designs of field trials in agriculture.

## Key features

* Flexible options to customize appearance of graphic.

* Stable, well-tested using lattice graphics.

* Beta version using ggplot2 graphics. Note ggplot2 is about 4 times slower.

## Installation

```R

# Install the released version from CRAN:

install.packages("desplot")

# Install the development version from GitHub:

install.packages("devtools")

devtools::install_github("kwstat/desplot")

```

## Example 1

This data is is from a split-plot experiment with 6 replicates.  The replicates are shown by the colored regions and outlined by the thick lines.  The text codes and the thin lines define the whole-plots.  The nitrogen sub-plot treatments are shown by the text colors.

```R

require(agridat)

require(desplot)

desplot(yates.oats, block ~ col+row,

        col=nitro, text=gen, cex=1, aspect=511/176,

        out1=block, out2=gen, 

        out2.gpar=list(col = "gray50", lwd = 1, lty = 1))

```

![desplot](man/figures/yates_oats_design.png?raw=true)

The default graphics are based on lattice.  It is also possible to create graphics based on ggplot2 by adding 'gg=TRUE' to the function. This functionality is in development and the legend for the ggplot version is not as polished as the lattice version.

```R

require(agridat)

require(desplot)

desplot(yates.oats, block ~ col+row,

        col=nitro, text=gen, cex=1, aspect=511/176,

        out1=block, out2=gen, 

        out2.gpar=list(col = "gray50", lwd = 1, lty = 1), gg=TRUE)

        # note, out2.gpar is ignored

```

![desplot](man/figures/yates_oats_design_ggplot.png?raw=true)

## Example 2

Another very useful technique is to color the cells according to a continuous response variable (such as plot yield).

```R

require(agridat)

require(desplot)

desplot(yates.oats, yield ~ col*row,

        col=gen, num=nitro, cex=1, out1=block, aspect=511/176)

```

![desplot](man/figures/yates_oats_yield.png?raw=true)

### Logo note

The hexagon logo for this package shows a simple experimental design layout on top of a tan (soil-color) background.