plot.RAMpath {RAMpath}

Plot the path diagram according to RAM path and bridges or Plot the vector field for the bivariate latent change score model

Description

Plot the path diagram according to RAM path and bridges or Plot the vector field for the bivariate latent change score model

Usage

## 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, ...)

Arguments

x

Output from the ramPathBridge function or Output from the ramBLCS function

file

File name for the generated figures

from

from variable: path starts from this variable

to

to variable: path ends on this variable

type

path: to plot the effect path;

bridge: to plot the bridges path

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.

References

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

Examples

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)