You can also use range( MC.pH, MV.pH, na.rm=TRUE). On Tue, Apr 24, 2012 at 1:29 PM, David Doyle <kydaviddo...@gmail.com> wrote: > Hi Greg, > > Sloved my own problem. > > I had some missing data "NA" in the datasets. So I manually entered the > ylim=range(4,6) > and it worked!!! > > Thanks!! > David > > > On Tue, Apr 24, 2012 at 1:55 PM, David Doyle <kydaviddo...@gmail.com> wrote: >> >> Hi Greg, >> >> Thanks, >> >> I got the 1st example to work using the following code: >> >> >> data <- read.csv("http://doylesdartden.com/Monthly-pH-example.csv", >> sep=",") >> >> attach(data) >> >> par(mfrow=c(2,1)) >> scatter.smooth( Year, MC.pH ) >> scatter.smooth( Year, MV.pH ) >> >> >> This is good but what I'm really looking for is to have them on the same >> graph. >> >> >> I tried your second example using the code below but got: >> >> "Error in plot.window(...) : need finite 'ylim' values" >> >> here is the code I used >> >> >> data <- read.csv("http://doylesdartden.com/Monthly-pH-example.csv", >> sep=",") >> >> attach(data) >> >> >> plot( Year, MC.pH, ylim=range(MC.pH,MV.pH) , col='blue') >> >> points( Year, MV.pH, col='green' ) >> >> lines( loess.smooth(Year,MC.pH), col='blue') >> >> lines( loess.smooth(Year,MV.pH), col='green') >> >> >> Thanks again >> >> David >> >> >> >> On Tue, Apr 24, 2012 at 1:45 PM, Greg Snow <538...@gmail.com> wrote: >>> >>> Assuming that you want event as the x-axis (horizontal) you can do >>> something like (untested without reproducible data): >>> >>> par(mfrow=c(2,1)) >>> scatter.smooth( event, pH1 ) >>> scatter.smooth( event, pH2 ) >>> >>> or >>> >>> plot( event, pH1, ylim=range(pH1,pH2) , col='blue') >>> points( event, pH2, col='green' ) >>> lines( loess.smooth(event,pH1), col='blue') >>> lines( loess.smooth(event,pH2), col='green') >>> >>> Only do the second one if pH1 and pH2 are measured on the same scale >>> in a way that the comparison and any crossings are meaningful or if >>> there is enough separation (but not too much) that there is no >>> overlap, but still enough detail. >>> >>> >>> >>> On Mon, Apr 23, 2012 at 10:40 PM, R. Michael Weylandt >>> <michael.weyla...@gmail.com> wrote: >>> > The scatter plot is easy: >>> > >>> > plot(pH1 ~ pH2, data = OBJ) >>> > >>> > When you say a loess for each -- how do you break them up? Are there >>> > repeat values for pH1? If so, this might be hard to do in base >>> > graphics, but ggplot2 would make it easy: >>> > >>> > library(ggplot2) >>> > ggplot(OBJ, aes(x = pH1, y = pH2)) + geom_point() + stat_smooth() + >>> > facet_wrap(~factor(pH1)) >>> > >>> > or something similar. >>> > >>> > Michael >>> > >>> > On Mon, Apr 23, 2012 at 11:26 PM, David Doyle <kydaviddo...@gmail.com> >>> > wrote: >>> >> Hi folks. >>> >> >>> >> If I have the following in my "data" >>> >> >>> >> event pH1 pH2 >>> >> 1 4.0 6.0 >>> >> 2 4.3 5.9 >>> >> 3 4.1 6.1 >>> >> 4 4.0 5.9 >>> >> and on and on..... for about 400 events >>> >> >>> >> Is there a way I can get R to plot event vs. pH1 and event vs. pH2 >>> >> and >>> >> then do a loess or lowess line for each?? >>> >> >>> >> Thanks in advance >>> >> David >>> >> >>> >> [[alternative HTML version deleted]] >>> >> >>> >> ______________________________________________ >>> >> R-help@r-project.org 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. >>> > >>> > ______________________________________________ >>> > R-help@r-project.org 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. >>> >>> >>> >>> -- >>> Gregory (Greg) L. Snow Ph.D. >>> 538...@gmail.com >> >> >
-- Gregory (Greg) L. Snow Ph.D. 538...@gmail.com ______________________________________________ R-help@r-project.org 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.