plot.RAMpath | R Documentation |
Plot the path diagram according to RAM path and bridges or Plot the vector field for the bivariate latent change score model
## S3 method for class 'RAMpath'
plot(x, file, from, to, type = c("path", "bridge"),
size = c(8, 8), node.font = c("Helvetica", 14), edge.font = c("Helvetica", 10),
rank.direction = c("LR", "TB"), digits = 2, output.type = c("graphics", "dot"),
graphics.fmt = "pdf", dot.options = NULL, ...)
## S3 method for class 'blcs'
plot(x, ylim, xlim, ninterval=10, scale=.1, length=.25,
scatter=TRUE, n=20, alpha=.95, ...)
x |
Output from the |
file |
File name for the generated figures |
from |
from variable: path starts from this variable |
to |
to variable: path ends on this variable |
type |
|
size |
The size of the plot in inches |
node.font |
The size of the text for the variables |
edge.font |
The size of the text on the pahts |
rank.direction |
LR: from left to right; TB: from top to bottom. |
digits |
Digits of numbers to plot |
output.type |
If "graphics", the default, both a ".dot" file and a graphics file will be created. |
graphics.fmt |
a graphics format recognized by the dot program; the default is "pdf"; graphics.fmt is also used for the extension of the graphics file that is created. |
dot.options |
options to be passed to the dot program, given as a character string. |
ylim |
Range of y data, for example, c(0,80) from 0 to 80 |
xlim |
Range of x data, for example, c(0,80) from 0 to 80 |
ninterval |
Number of intervals for plotting. The default is 10. |
scale |
Time interval to calculate vector fields. |
length |
The length of arrows to plot |
scatter |
Whether to plot the data points |
n |
The number of data points to be plotted |
alpha |
The confidence level to calculate the ellipse |
... |
Options for plot and arrows function. |
Zhang, Z., Hamagami, F., Grimm, K. J., & McArdle, J. J. (2015). Using R package RAMpath for tracing SEM path diagrams and conducting complex longitudinal data analysis. Structural Equation Modeling, 22(1), 132-147. https://doi.org/10.1080/10705511.2014.935257
data(ex3)
test.blcs<-ramBLCS(ex3, 1:6, 7:12, ram.out=TRUE)
ramVF(test.blcs, c(0,80),c(0,80), length=.05, xlab='X', ylab='Y',scale=.5, ninterval=9)
plot(test.blcs, c(0,80),c(0,80), length=.05, xlab='X', ylab='Y',scale=.5, ninterval=9)
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