| logi.hist.plot2 | R Documentation |
Plot combined graphs for logistic regressions
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, ...)
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 |
incre |
increment, i.e., separation between neighbour points in the dotplot. |
... |
additional options passed to logi.hist |
A combined logistic regression plot
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.
M. de la Cruz Rot
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)
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