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qqPlotGestalt(distribution = "norm", param.list = list(mean = 0, sd = 1),
estimate.params = FALSE, est.arg.list = NULL, sample.size = 10, num.pages = 2,
num.plots.per.page = 4, nrow = ceiling(num.plots.per.page/2), plot.type = "Q-Q",
plot.pos.con = switch(dist.abb, norm = , lnorm = , lnormAlt = , lnorm3 = 0.375,
evd = 0.44, 0.4), equal.axes = (qq.line.type == "0-1" || estimate.params),
margin.title = NULL, add.line = FALSE, qq.line.type = "least squares",
duplicate.points.method = "standard", points.col = 1, line.col = 1,
line.lwd = par("cex"), line.lty = 1, digits = .Options$digits,
same.window = TRUE, ask = same.window & num.pages > 1,
mfrow = c(nrow, num.plots.per.page/nrow),
mar = c(4, 4, 1, 1) + 0.1, oma = c(0, 0, 7, 0), mgp = c(2, 0.5, 0), ...,
main = NULL, xlab = NULL, ylab = NULL, xlim = NULL, ylim = NULL)distribution="norm". See the help file for Distribution.df for a
list of possible distribution param.list=list(mean=0, sd=1). See the help file for Distribution.df
for the names and possibleestimate.params=TRUE) or using the known
distribution parameters specified in param.list (estimate.params=FALsample.size=10.num.pages=2.num.pages=4.num.plots.per.page/2."Q-Q"
(Quantile-Quantile plot, the default) and "Tukey Mean-Difference Q-Q"
(Tukey mean-difference Q-Q plot). This argument may be abbreviated (e.g.,
plot.pos.con depends on the value of the argument
distribution. For the normal, lognormal, three-parameter lognplot.type="Q-Q". The default value is TRUE if
qq.line.type="0-1" or estimate.params=TRUE, otherwise it is
add.line=TRUE and plot.type="Q-Q", a line determined by the
value of qq.line.type is added to the plot.
If add.line=TRUE and "least squares" (the default), "0-1" and
"robust". For the value
"least squares", a least squares "standard" (the default), "jitter", and "number". For the value
"standard", a single plotting sympoints.col=1. See the entry for col in the
help file for par for morepoints.col=1. See the entry for col in the
help file for par for more iline.lwd=par("cex"). See the entry for lwd in the help file for par
for more information. line.lty=1. See the entry for lty in the help file for par
for more information. Thidigits=.Options$digits.same.window=TRUE; the default), or to create a new graphics
window for each separate plot (same.window=FALSE).devAskNewPage, indicating
whether to prompt the user before creating a new plot within a single graphics
window. The default value is TRUEpar).NULL value is returned.qqPlotGestalt allows the user to display several Q-Q plots or
Tukey mean-difference Q-Q plots for a specified probability distribution.
The distribution is specified with the arguments distribution and
param.list. By default, normal (Gaussian)
Q-Q plots are produced.
If estimate.params=FALSE (the default), the theoretical quantiles on the
$x$-axis are computed using the known distribution parameters specified in
param.list. If estimate.params=TRUE, the distribution parameters
are estimated based on the sample, and these estimated parameters are then used
to compute the theoretical quantiles. For distributions that can be specified
by a location and scale parameter (e.g., Normal, Logistic, extreme value, etc.),
the value of estimate.params will not affect the general shape of the
plot, only the values recorded on the $x$-axis. For distributions that cannot
be specified by a location and scale parameter (e.g., exponential, gamma, etc.), it
is recommended that estimate.params be set to TRUE since in pracitice
the values of the distribution parameters are not known but must be estimated from
the sample.
The purpose of qqPlotGestalt is to allow the user to build-up a visual
memory of qqPlot for more information.qqPlot.qqPlot.# Look at eight typical normal (Gaussian) Q-Q plots for random samples
# of size 10 from a N(0,1) distribution
# Are you surprised by the variability in the plots?
#
# (Note: you must use set.seed if you want to reproduce the exact
# same plots more than once.)
set.seed(298)
qqPlotGestalt(same.window = FALSE)
# Add lines to these same Q-Q plots
#----------------------------------
set.seed(298)
qqPlotGestalt(same.window = FALSE, add.line = TRUE)
# Add lines to different Q-Q plots
#---------------------------------
qqPlotGestalt(same.window = FALSE, add.line = TRUE)
# Look at 4 sets of plots all in the same graphics window
#--------------------------------------------------------
qqPlotGestalt(add.line = TRUE, num.pages = 4)
#==========
# Look at Q-Q plots for a gamma distribution
#-------------------------------------------
qqPlotGestalt(dist = "gammaAlt",
param.list = list(mean = 10, cv = 1),
estimate.params = TRUE, num.pages = 3,
same.window = FALSE, add.line = TRUE)
# Look at Tukey Mean Difference Q-Q plots
# for a gamma distribution
#----------------------------------------
qqPlotGestalt(dist = "gammaAlt",
param.list = list(mean = 10, cv = 1),
estimate.params = TRUE, num.pages = 3,
plot.type = "Tukey", same.window = FALSE, add.line = TRUE)
#==========
# Clean up
#---------
graphics.off()Run the code above in your browser using DataLab