Hi, I am new to R...a recent convert from SAS. I have a dataset that looks like this: SEQ A1 A2 A 532.5 554.5 B 25.5 35.5 C 265.2 522.2 D 245.55 521.56 E 546.52 141.52 F 243.25 32.56 G 452.55 635.56 H 15.14 16.54 I 543.4 646.56 J 54.4 654.5 K 646.5 64.54 L 645.4 614.46 M 646.54 634.46 I want to make a histogram each for A1 and A2, with density curves, on the same plot so that I can see how they overlap. Please let me know some simple code for this. I looked at ldahist but it was complicated. Anything simpler? Thanks a lot, -DS. [[alternative HTML version deleted]]
Assuming "dat" is the name of the data frame, this should get you
started:
library(lattice)
histogram(~ unlist(dat[-1]) | factor(rep(c("A1", "A2"),
each=nrow(dat))),
panel=function(...) {
panel.histogram(...)
panel.densityplot(...)
}, type="density")
Andy
From: Davendra Sohal>
> Hi,
>
> I am new to R...a recent convert from SAS.
> I have a dataset that looks like this:
>
> SEQ A1 A2
> A 532.5 554.5
> B 25.5 35.5
> C 265.2 522.2
> D 245.55 521.56
> E 546.52 141.52
> F 243.25 32.56
> G 452.55 635.56
> H 15.14 16.54
> I 543.4 646.56
> J 54.4 654.5
> K 646.5 64.54
> L 645.4 614.46
> M 646.54 634.46
>
> I want to make a histogram each for A1 and A2, with density
> curves, on the same plot so that I can see how they overlap.
>
> Please let me know some simple code for this.
>
> I looked at ldahist but it was complicated. Anything simpler?
>
> Thanks a lot,
> -DS.
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>
>From your description I assume you want both histogramsand the densities all on the same chart. With existing R graphics I am not sure that there really is a simple way to do that. That aside, note that the hist function returns a list of components that includes - breaks, defining the breakpoints of the histogram - intensities defining the heights of the histogram bars We can use these two to determine the breaks and y limits of the combined plot and then use the breaks= and ylimarguments of hist to specify them so that both histograms can be drawn on the same chart. We also use freq=FALSE in the hist calls to draw intensities rather than counts. On the second hist call we use add=TRUE to cause it to be drawn on the existing plot. The other problem is to distinguish the superimposition of the bars and that can be handled by using shading lines of different colors and angles using the col= and angle= and density= arguments of hist. # data DF <- structure(list(SEQ = structure(c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13), .Label = c("A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M"), class = "factor"), A1 = c(532.5, 25.5, 265.2, 245.55, 546.52, 243.25, 452.55, 15.14, 543.4, 54.4, 646.5, 645.4, 646.54), A2 = c(554.5, 35.5, 522.2, 521.56, 141.52, 32.56, 635.56, 16.54, 646.56, 654.5, 64.54, 614.46, 634.46)), .Names = c("SEQ", "A1", "A2"), class = "data.frame", row.names = c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13")) # determine breaks and y limits of the combined plot breaks <- hist(c(DF$A1, DF$A2), plot = FALSE)$breaks ymax1 <- max(hist(DF$A1, breaks = breaks, plot = FALSE)$intensities) ymax2 <- max(hist(DF$A2, breaks = breaks, plot = FALSE)$intensities) ylim <- c(0, max(ymax1, ymax2)) # draw the two histograms and two densities hist(DF$A1, ang = 45, col = "red", ylim = ylim, freq = FALSE, density = 10) lines(density(DF$A1), col = "red") hist(DF$A2, ang = -45, col = "blue", add = TRUE, freq = FALSE, density = 10) lines(density(DF$A2), col = "blue") On 8/10/06, Davendra Sohal <dsohal at gmail.com> wrote:> Hi, > > I am new to R...a recent convert from SAS. > I have a dataset that looks like this: > > SEQ A1 A2 > A 532.5 554.5 > B 25.5 35.5 > C 265.2 522.2 > D 245.55 521.56 > E 546.52 141.52 > F 243.25 32.56 > G 452.55 635.56 > H 15.14 16.54 > I 543.4 646.56 > J 54.4 654.5 > K 646.5 64.54 > L 645.4 614.46 > M 646.54 634.46 > > I want to make a histogram each for A1 and A2, with density curves, on the > same plot so that I can see how they overlap. > > Please let me know some simple code for this. > > I looked at ldahist but it was complicated. Anything simpler? > > Thanks a lot, > -DS. > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >
The code below was missing the breaks= argument to hist.
I had not noticed because coincidentally both give the same
breaks anways thus the following corrected version gives the
same plot in this case but might not in other cases.
# data
DF <- structure(list(SEQ = structure(c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
11, 12, 13), .Label = c("A", "B", "C",
"D", "E", "F", "G", "H",
"I", "J", "K", "L", "M"),
class = "factor"), A1 = c(532.5, 25.5,
265.2, 245.55, 546.52, 243.25, 452.55, 15.14, 543.4, 54.4, 646.5,
645.4, 646.54), A2 = c(554.5, 35.5, 522.2, 521.56, 141.52, 32.56,
635.56, 16.54, 646.56, 654.5, 64.54, 614.46, 634.46)), .Names =
c("SEQ",
"A1", "A2"), class = "data.frame", row.names =
c("1", "2", "3",
"4", "5", "6", "7", "8",
"9", "10", "11", "12", "13"))
# determine breaks and y limits of the combined plot
breaks <- hist(c(DF$A1, DF$A2), plot = FALSE)$breaks
ymax1 <- max(hist(DF$A1, breaks = breaks, plot = FALSE)$intensities)
ymax2 <- max(hist(DF$A2, breaks = breaks, plot = FALSE)$intensities)
ylim <- c(0, max(ymax1, ymax2))
# draw the two histograms and two densities
hist(DF$A1, ang = 45, col = "red", ylim = ylim,
breaks = breaks, freq = FALSE, density = 10)
lines(density(DF$A1), col = "red")
hist(DF$A2, ang = -45, col = "blue", add = TRUE,
breaks = breaks, freq = FALSE, density = 10)
lines(density(DF$A2), col = "blue")
On 8/11/06, Gabor Grothendieck <ggrothendieck at gmail.com>
wrote:> From your description I assume you want both histograms
> and the densities all on the same chart. With existing R
> graphics I am not sure that there really is a simple way to
> do that.
>
> That aside, note that the hist function returns a list of
> components that includes
>
> - breaks, defining the breakpoints of the histogram
> - intensities defining the heights of the histogram bars
>
> We can use these two to determine the breaks and y limits
> of the combined plot and then use the breaks= and ylim> arguments of
hist to specify them so that both histograms
> can be drawn on the same chart. We also use freq=FALSE
> in the hist calls to draw intensities rather than counts. On
> the second hist call we use add=TRUE to cause it to be drawn
> on the existing plot.
>
> The other problem is to distinguish the superimposition of
> the bars and that can be handled by using shading lines of
> different colors and angles using the col= and angle= and
> density= arguments of hist.
>
>
> # data
> DF <- structure(list(SEQ = structure(c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
> 11, 12, 13), .Label = c("A", "B", "C",
"D", "E", "F", "G", "H",
> "I", "J", "K", "L", "M"),
class = "factor"), A1 = c(532.5, 25.5,
> 265.2, 245.55, 546.52, 243.25, 452.55, 15.14, 543.4, 54.4, 646.5,
> 645.4, 646.54), A2 = c(554.5, 35.5, 522.2, 521.56, 141.52, 32.56,
> 635.56, 16.54, 646.56, 654.5, 64.54, 614.46, 634.46)), .Names =
c("SEQ",
> "A1", "A2"), class = "data.frame", row.names
= c("1", "2", "3",
> "4", "5", "6", "7", "8",
"9", "10", "11", "12", "13"))
>
> # determine breaks and y limits of the combined plot
> breaks <- hist(c(DF$A1, DF$A2), plot = FALSE)$breaks
> ymax1 <- max(hist(DF$A1, breaks = breaks, plot = FALSE)$intensities)
> ymax2 <- max(hist(DF$A2, breaks = breaks, plot = FALSE)$intensities)
> ylim <- c(0, max(ymax1, ymax2))
>
> # draw the two histograms and two densities
> hist(DF$A1, ang = 45, col = "red", ylim = ylim, freq = FALSE,
density = 10)
> lines(density(DF$A1), col = "red")
> hist(DF$A2, ang = -45, col = "blue", add = TRUE, freq = FALSE,
density = 10)
> lines(density(DF$A2), col = "blue")
>
> On 8/10/06, Davendra Sohal <dsohal at gmail.com> wrote:
> > Hi,
> >
> > I am new to R...a recent convert from SAS.
> > I have a dataset that looks like this:
> >
> > SEQ A1 A2
> > A 532.5 554.5
> > B 25.5 35.5
> > C 265.2 522.2
> > D 245.55 521.56
> > E 546.52 141.52
> > F 243.25 32.56
> > G 452.55 635.56
> > H 15.14 16.54
> > I 543.4 646.56
> > J 54.4 654.5
> > K 646.5 64.54
> > L 645.4 614.46
> > M 646.54 634.46
> >
> > I want to make a histogram each for A1 and A2, with density curves, on
the
> > same plot so that I can see how they overlap.
> >
> > Please let me know some simple code for this.
> >
> > I looked at ldahist but it was complicated. Anything simpler?
> >
> > Thanks a lot,
> > -DS.
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help at stat.math.ethz.ch mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> >
>