Usage
F.setup(df1=1,
df2=Inf,
ncp=0,
log.p=FALSE,
xlim.in=c(0, 5),
ylim.in=range(c(0, 1.1*df.intermediate(x=seq(.5,1.5,.01),
df1=df1, df2=df2, ncp=ncp, log=log.p))),
main.in=main.calc,
...)F.curve(df1=1,
df2=Inf,
ncp=0,
log.p=FALSE,
alpha=.05,
critical.values=f.alpha,
f=seq(0, par()$usr[2], length=109),
shade="right", col=par("col"),
axis.name="f",
...)
F.observed(f.obs, col="green",
df1=1,
df2=Inf,
ncp=0,
log.p=FALSE,
axis.name="f",
shade="right",
shaded.area=0,
display.obs=TRUE)
chisq.setup(df=1,
ncp=0,
log.p=FALSE,
xlim.in=c(0, qchisq.intermediate(p=1-.01, df=df, ncp=ncp, log.p=log.p)),
ylim.in=range(c(0, 1.1*dchisq.intermediate(x=seq(max(0.5,df-2),df+2,.01),
df=df, ncp=ncp, log=log.p))),
main.in=main.calc,
...)
chisq.curve(df=1,
ncp=0,
log.p=FALSE,
alpha=.05,
critical.values=chisq.alpha,
chisq=seq(0, par()$usr[2], length=109),
shade="right", col=par("col"),
axis.name="chisq",
...)
chisq.observed(chisq.obs, col="green",
df=1,
ncp=0,
log.p=FALSE,
axis.name="chisq",
shade="right",
shaded.area=0,
display.obs=TRUE)
Arguments
xlim.in, ylim.in
Initial settings for xlim, ylim
.
The defaults are calculated for the degrees of freedom.
df, df1, df2, ncp, log.p
Degrees of freedom,
non-centrality parameter, probabilities are given as log(p).
See pchisq
and pf
. alpha
Probability of a Type I error. alpha
is a vector
of
one or two values. If one value, it is the right alpha. If two values,
they are the c(left.alpha, right.alpha)
.
critical.values
Critical values. Initial values correspond
to the specified alpha
levels.
A scalar value implies a one-sided test on the right side.
A vector of two values
implies a two-sided test.
shade
Valid values for shade are "right", "left", "inside", "outside", "none".
Default is "right" for one-sided critical.values and "outside"
for two-sided critical values.
col
color of the shaded region and the area of the shaded region.
shaded.area
Numerical value of the area. This value may
be cumulated over two calls to the function (one call for left, one
call for right).
The shaded.area
is the return value of the function.
The calling program is responsible for the
cumula
display.obs
Logical. If TRUE
, print the numerical value
of the observed value, plot a vertical abline
at the value,
and use it for showing the $p$-value.
If FALSE
, don't print or plot the observed value; just use it
f,chisq
Values used to draw curve. Replace them if more
resolution is needed.
f.obs, chisq.obs
Observed values of statistic. $p$-values are
calculated for these values.
...
Other arguments which are ignored.