fracpoly_mvshape_plot | R Documentation |
fracpoly_mvshape_plot overlays the fractional polynomial plot with the mvshape plot.
fracpoly_mvshape_plot(
fracpoly,
degree = "both",
mvshape,
xref = NULL,
logx = FALSE,
logy = FALSE,
pref_x = "x",
pref_y = "y",
xbreaks = NULL,
ybreaks = NULL,
cicolour = "grey",
betacolour = "black",
intcolour = "grey",
mvbetacolour = "red",
mvcicolour = "red",
xlim = NULL,
ylim = NULL
)
fracpoly |
a fracpoly object. |
degree |
the fractonal polyniomal degree to be plotted (options: 1, 2 and both). |
mvshape |
a mvshape object. |
xref |
the reference point for the figures of binary outcomes. |
logx |
plot the x-axis on the log-scale. |
logy |
plot the y-axis on the log-scale. |
pref_x |
the prefix for the x-axis. |
pref_y |
the prefix for the y-axis. |
xbreaks |
breaks in the x-axis. |
ybreaks |
breaks in the y-axis. |
cicolour |
colour of the 95% confidence intervals. |
betacolour |
colour of the regression line. |
intcolour |
colour of the intercept line. |
xlim |
x-axis limits. |
fractional polynomial and mvshape plot.
James Staley jrstaley95@gmail.com
## Not run:
# Data
y <- rnorm(5000)
x <- rnorm(5000, 10, 1)
c1 <- rbinom(5000, 1, 0.5)
c2 <- rnorm(5000)
study <- c(rep("study1", 1000), rep("study2", 1000), rep("study3", 1000), rep("study4", 1000), rep("study5", 1000))
covar <- data.frame(c1 = c1, c2 = c2, study = study)
# Analyses
fp <- fracpoly(y = y, x = x, covar = covar, family = "gaussian")
mvma <- mvshape(y = y, x = x, covar = covar[, c("c1", "c2")], study = study, family = "gaussian")
fracpoly_mvshape_plot(fracpoly = fp, mvshape = mvma)
## End(Not run)
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