BAC_plot {ufs} | R Documentation |
Bland-Altman Change plot
BAC_plot( data, cols = names(data), reliability = NULL, pointSize = 2, deterioratedColor = "#482576E6", unchangedColor = "#25848E80", improvedColor = "#7AD151E6", zeroLineColor = "black", zeroLineType = "dashed", ciLineColor = "red", ciLineType = "solid", conf.level = 0.95, theme = ggplot2::theme_minimal(), ignoreBias = FALSE, iccFromPsych = FALSE, iccFromPsychArgs = NULL )
data |
The data frame; if it only has two columns, the first of
which is the pre-change column, |
cols |
The names of the columns with the data; the first is the column with the pre-change data, the second the column after the change. |
reliability |
The reliability estimate, for example as obtained with
the |
pointSize |
The size of the points in the plot. |
deterioratedColor, unchangedColor, improvedColor |
The colors to use for cases who deteriorate, stay the same, and improve, respectively. |
zeroLineColor, ciLineColor |
The colors for the line at 0 (no change) and at the confidence interval bounds (i.e. the point at which a difference becomes indicative of change given the reliability), respectively. |
zeroLineType, ciLineType |
The line types for the line at 0 (no change) and at the confidence interval bounds (i.e. the point at which a difference becomes indicative of change given the reliability), respectively. |
conf.level |
The confidence level of the confidence interval. |
theme |
The ggplot2 theme to use. |
ignoreBias |
Whether to ignore bias (i.e. allow the measurements at
the second time to shift upwards or downwards). If |
iccFromPsych |
Whether to compute ICC using the |
iccFromPsychArgs |
If using the |
A ggplot2 plot.
### Create smaller dataset for example dat <- ufs::testRetestSimData[ 1:25, c('t0_item1', 't1_item1') ]; ufs::BAC_plot(dat, reliability = .5); ufs::BAC_plot(dat, reliability = .8); ufs::BAC_plot(dat, reliability = .9);