logi.hist.plot2: Plot logistic regression

In logihist: Combined Graphs for Logistic Regression

Description

Plot combined graphs for logistic regressions

Usage

logi.hist.plot2(independ, depend, logi.mod = 1, type = "dit", 
boxp = TRUE, rug = FALSE, ylabel = "Probability", ylabel2 = "Frequency", 
xlabel = "", mainlabel = "", las.h = 1, counts = FALSE, cex.p = 1, 
pch.dit = 1, incre = 0.02, ...)

Arguments

independ	explanatory variable
depend	dependent variable, typically a logical vector
logi.mod	type of fitting, 1 = logistic; 2 = "gaussian" logistic
type	type of representation, "dit" = dot plot; "hist" = histogram
boxp	TRUE = with box plots, FALSE = without
rug	TRUE = with rug plots, FALSE = without
ylabel	y-axis label
ylabel2	2nd y-axis label
xlabel	x-axix label
mainlabel	overall title for plot
las.h	orientation of axes labels (0 = vertical, 1 = horizontal
counts	add counts above histogram bars
cex.p	size of points in dotplots
pch.dit	Either an integer specifying a symbol or a single character to be used as the default in plotting points. See points for possible values and their interpretation.
incre	increment, i.e., separation between neighbour points in the dotplot.
...	additional options passed to logi.hist

Value

A combined logistic regression plot

Note

This is a new version of function logi.hist.plot already available in the package popbio. In this new version, control of points in the dot plot is provided by the arguments cex.p, pch.dit and incre.

Author(s)

M. de la Cruz Rot

References

De la Cruz Rot, M. 2005. Improving the Presentation of Results of Logistic Regression with R. ESA Bulletin 86:41-48.

Examples

data(aq.trans, package="popbio")

aq.trans$survived<-aq.trans$fate!="dead"

a<-subset(aq.trans, leaf<50 & stage!="recruit", c(leaf,survived))

logi.hist.plot2(a$leaf,  a$survived, 
type="hist", boxp=FALSE, counts=TRUE, int=10, 
ylabel="Survival probability", ylabel2="Number of plants", 
 xlab="Number of leaves" )

b<-glm(survived ~ leaf, binomial, data=a)
 summary(b)

logihist documentation built on May 2, 2019, 5:16 a.m.