predLines | R Documentation |
This function draws predicted lines against an explanatory variable for selected groups at a higher (>=2) level. Note that it uses a lot of contiguous memory, and so we recommend running via 64-bit version R to mititage against any potential problems.
predLines(
object,
indata = NULL,
xname,
lev = 2,
selected = NULL,
probs = c(0.025, 0.975),
legend = TRUE,
legend.space = "top",
legend.ncol = 4,
...
)
object |
Either an |
indata |
A data.frame object containing the data. If not specified, data is extracted from
the |
xname |
The name of the variable to be plotted. |
lev |
A digit indicating the level (of the multilevel model) at which to plot. |
selected |
A vector specifying groups to selectively plot at the level
specified in |
probs |
A numeric vector of probabilities with values in |
legend |
A logical value indicating whether a legend is to be added. |
legend.space |
A character string specifies one of the four sides,
which can be one of |
legend.ncol |
An integer specifies a number of columns, possibly
divided into blocks, each containing some rows. Default,
|
... |
Other arguments to be pased to |
Zhang, Z., Charlton, C.M.J., Parker, R.M.A., Leckie, G., and Browne, W.J. (2016) Centre for Multilevel Modelling, University of Bristol.
predCurves
## Not run:
library(R2MLwiN)
# NOTE: if MLwiN not saved in location R2MLwiN defaults to, specify path via:
# options(MLwiN_path = 'path/to/MLwiN vX.XX/')
# If using R2MLwiN via WINE, the path may look like this:
# options(MLwiN_path = '/home/USERNAME/.wine/drive_c/Program Files (x86)/MLwiN vX.XX/')
## Example: tutorial
data(tutorial, package = "R2MLwiN")
(mymodel <- runMLwiN(normexam ~ 1 + standlrt + (1 + standlrt | school) + (1 | student),
estoptions = list(EstM = 1, resi.store.levs = 2), data = tutorial))
predLines(mymodel, xname = "standlrt", lev = 2, selected = c(30, 44, 53, 59),
probs = c(0.025, 0.975))
## End(Not run)
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