Description Usage Arguments Details Value See Also Examples
View source: R/plotFunctions.R
Return a plot or dataframe showing the point estimates from each model, along with confidence intervals based on the estimated standard errors.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
fit |
Output from |
true |
An adjacency matrix containing the true parameter values, if known. This can be used in conjunction with a simulated network, in that the user can supply the true network and plot those values against the estimated values. |
alpha |
Alpha level that is used to compute confidence intervals. |
plot |
Logical. If |
col |
Character string. Color of the points associated with the
|
flip |
Logical. If |
data |
Supply the original dataset if not already included in the
|
select |
Relevant to the |
size |
Numeric. Size of the point estimates. |
labels |
If logical, determines whether or not variable labels should be included. If a character vector, can be used to customize variable labels. |
title |
Custom plot title. |
vars |
Defaults to |
This is differentiated from the output of bootNet
and
plotBoot
in that the confidence intervals are computed directly
from model parameters rather than estimated from bootstrapping.
Plot displaying estimated model coefficients and confidence intervals.
fitNetwork, resample, getFitCIs,
plot.resample, plotNet
1 2 3 | x <- fitNetwork(ggmDat)
plot(x, which.net = 'coefs')
plotCoefs(x) # This is the same as the above command
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