View source: R/dotplotRegime.R
Draw a plot of covariate-specific time-varying movements
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | dotplotRegime(
out,
hybrid = TRUE,
start = 1,
cex = 1,
smooth.beta = TRUE,
x.location = c("none", "random", "legend", "default"),
order.state = 1,
location.bar = 9,
distance = 4,
h = c(255, 330),
l = c(40, 90),
text.cex = 1,
legend.position = "topright",
pos = 1,
select = NULL,
main = "",
raw = FALSE
)
|
out |
output of HMBB |
hybrid |
If TRUE, DSS results are used for graph. Otherwise, HMBB results are used. |
start |
Starting value of the time sequence |
smooth.beta |
If TRUE, probabilistic estimates of hidden states (smooth) are used. Otherwise, discrete state values are used. |
x.location |
x location of covariate name labels. If random, a random value (between min and max of x) is selected. If legend, it will be displayed in the top-right as a legend. If default, the labels will be shown in the above of the last regime estimates. |
distance |
Distance of text labels from the maximum value of x. Default is 4. |
h |
hue value in the HCL color description, has to be in [0, 360]. Default is c(255, 330). |
l |
luminance value in the HCL color description. Default is c(40, 90). |
thin |
The thinning interval used in the simulation. The number of MCMC iterations must be divisible by this value. |
verbose |
A switch which determines whether or not the progress of the
sampler is printed to the screen. If |
degree.normal |
A null model for degree correction. Users can choose "NULL", "eigen" or "Lsym." "NULL" is no degree correction. "eigen" is a principal eigen-matrix consisting of the first eigenvalue and the corresponding eigenvector. " Lsym" is a modularity matrix. Default is "eigen." |
UL.Normal |
Transformation of sampled U. Users can choose "NULL", "Normal" or "Orthonormal." "NULL" is no normalization. "Normal" is the standard normalization. "Orthonormal" is the Gram-Schmidt orthgonalization. Default is "NULL." |
v0 |
v_0/2 is the shape parameter for the inverse
Gamma prior on variance parameters for V.
If |
v1 |
v_1/2 is the scale parameter for the
inverse Gamma prior on variance parameters for V.
If |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.