---
title: "Means Rotation in rENA"
author: "Cody L Marquart"
date: "`r Sys.Date()`"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Means Rotation in rENA}
  %\VignetteEngine{knitr::rmarkdown}
  %\usepackage[utf8]{inputenc}
---

```{r setup, include=F}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)
```
```{r message=F, warning=F, paged.print=T}
#library(rENA)
```
```{r echo=F, message=F, warning=F}
library(plotly)
library(rENA)
data(RS.data)
```

## Setting up

For this example, we will use the same accumulation as described in `vignette('getting-started',package="rENA")`, so review that document if anything in the following section is not clear.

```{r echo=F}
units = RS.data[,c("Condition","UserName")]
conversation = RS.data[,c("Condition","GroupName")]
meta = RS.data[,c("CONFIDENCE.Change","CONFIDENCE.Pre","CONFIDENCE.Post","C.Change")]

codeCols = c(
  'Data','Technical.Constraints','Performance.Parameters',
  'Client.and.Consultant.Requests','Design.Reasoning','Collaboration'
)
codes = RS.data[,codeCols]

accum = ena.accumulate.data(
  units = units,
  conversation = conversation,
  codes = codes,
  metadata = meta,
  window.size.back = 4
)
```

## Create a Means Rotated Set

Creating and plotting a means rotated set is fairly similar to a standard set, however we will define the rotation function along with the groups of rotated points that will be rotated along their means.  The **rENA** package comes with a function for means rotation, `ena.rotate.by.mean`, which is set as the `rotation.by` parameter of `ena.make.set`.  Along with the function, `rotation.params` is set as the parameters we want to pass along to the rotation function.  In the case of `ena.rotate.by.mean`, it expects `rotation.params` to be a `list` with two named elements, each containing a logical vector representing the rows of units to be included in particular group.

```{r }
## Save references to the two vectors for easier re-use
first.game = accum$meta.data$Condition == "FirstGame"
second.game = accum$meta.data$Condition == "SecondGame"

rotation.params = list(
  FirstGame = first.game, 
  SecondGame = second.game
)

setMeansRotated = ena.make.set(
  enadata = accum,                   # The previously run accumulation above
  rotation.by = ena.rotate.by.mean,  # Function provided by rENA
  rotation.params = rotation.params  # The defined paremeters for rotation
)

first.points =  as.matrix(setMeansRotated$points$Condition$FirstGame)
second.points = as.matrix(setMeansRotated$points$Condition$SecondGame)
plot.rotated = ena.plot(setMeansRotated,  title = "Mean Rotation", scale.to = "p") %>%
                  ena.plot.points(points = first.points,  colors = c("red")) %>% 
                  ena.plot.points(points = second.points, colors = c("blue")) %>%
                  ena.plot.group(point = first.points, colors =c("red"), 
                                 confidence.interval = "box") %>%
                  ena.plot.group(point = second.points, colors =c("blue"), 
                                 confidence.interval = "box")

plot.rotated$plot
```
