Scatterplot with histogram-like bars.
Scatterplot with histogram-like bars; a modification of plot(...,type="h").
plotH(x,...) ## S3 method for class 'formula' plotH(x,data=NULL,xlab=names(mf)[2],ylab=names(mf)[1],...) ## Default S3 method: plotH(x,y,xlab=paste(deparse(substitute(x))), ylab=paste(deparse(substitute(y))),width=0.6,ylim=NULL,col="gray",...)
x |
Vector of x-coordinates or a formula of the form y~x (see below for y). |
y |
Vector of y-coordinates. |
xlab |
A string for labeling the x-axis. |
ylab |
A string for labeling the y-axis. |
data |
The data frame from which the formula should be evaluated. |
width |
A numeric that indicates the width of the bars. |
ylim |
A vector of length two that indicates the limits over which to plot the y-axis. See details. |
col |
A string that indicates the fill color for the bars. |
... |
Additional arguments sent to the plot or barplot functions. |
plotH is meant to be a modification of the type="h" version of plot such that the "bars" appears as actual rectangles rather than vertical lines. It defaults so that the lower bound of the y-axis is 0; change to ylim=NULL to over-ride this default (and return to the default used in plot.
A pass-through to barplot is used if the x (or "RHS") variable is categorical.
None, but a plot is produced.
This function is currently experimental.
Derek Ogle
d<-data.frame(x=c(1,5,10:20),y=runif(13)+1, yn1=runif(13)-0.5,yn2=runif(13)-2, g=factor(sample(c("A","B","C"),13,replace=TRUE))) # new plotH function with formula notation plotH(y~x,data=d) # old plot() function with formula notation -- for comparison's purpose plot(y~x,data=d,type="h") # new function over-riding default ylim, increasing bar width, # and changing bar color plotH(y~x,data=d,ylim=range(d$y),width=0.9,col="red") # handling some negative values plotH(yn1~x,data=d) # not so good, because of default ylim plotH(yn1~x,data=d,ylim=c(0,max(d$yn1))) # old look # handling all negative values plotH(yn2~x,data=d) plotH(yn2~x,data=d,ylim=range(d$yn2)) # old look # example of pass-through to barplot smry<-by(d$y,d$g,mean) plotH(levels(d$g),smry,ylab="Mean of Random Variable",xlab="Group") # example of non-formula usage x1 <- d$x y1 <- d$y plotH(x1,y1,col="blue")
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