search for: tomhopper

...sub <- fortify(wolfsub);names(wolfsub) area_mod <- wolves.plot + geom_polygon(data=wolfsub,aes(fill=????)) #Want to fill by WOLVES_99 but is gone #after fortify area_mod #Not sure how to proceed from here to fit the 'mod1' model to all #the 5 states.   > >From: Tom Hopper <tomhopper@gmail.com> >To: Felipe Carrillo <mazatlanmexico@yahoo.com> >Sent: Tue, June 22, 2010 9:40:19 PM >Subject: Re: Plotting Data on a Map > >Felipe, > > >I am just learning these tools, too, so it may be a good learning opportunity for both of us. Please send me the fil...

Hello, I have what seems like an easy question to answer, but I'm struggling with it. I have a set of categorical data that I am reading in, looking something like: "category" "result" "A" .234 "B" .123 "C" .564 "D" -.452 "E" .112 "F" -.106 I'd like to plot this twice on two separate dot charts, once

Is there any way to control the spacing between bars in a histogram, or change the border width (I'm assuming the hist() function, though alternatives are welcome)? I'm interested in changing the visual spacing between columns in a plotted histogram. The general effect I'm looking for can be accomplished in barplots using the "width=" parameter, but I have not been able

...map wolfsub <- fortify(wolfsub);names(wolfsub) area_mod <- wolves.plot + geom_polygon(data=wolfsub,aes(fill=????)) #Want to fill by WOLVES_99 but is gone #after fortify area_mod #Not sure how to proceed from here to fit the 'mod1' model to all #the 5 states. From: Tom Hopper <tomhopper at gmail.com> To: Felipe Carrillo <mazatlanmexico at yahoo.com> Sent: Tue, June 22, 2010 9:40:19 PM Subject: Re: Plotting Data on a Map Felipe, I am just learning these tools, too, so it may be a good learning opportunity for both of us. Please send me the files and I will tr...

I'm starting to do a fair amount of DOE in my day job and need to generate full- and fractional-factorial designs. One of the things I'd like to do is generate all possible interaction effects, given the main effects. I've been searching through the documentation, packages and mail list archives, but the closest I can find are combin() in package combinat and combine() and

Hello, Is there a built-in test in R for hypothesis testing with samples of known variance? For example, I've got a set of data, a mean to compare against, and a known variance, and I want to determine the p-value for which I can reject the null hypothesis (mu_1 = mu_0) and accept the alternative (mu_1 > mu_0). I've found that JMP and Minitab can both do this (in JMP, it's a

Hello, I'm having some difficulty understanding the documentation relative to the startup files with R-Aqua 2.0.1 for Mac OS X. Specifically, I'm wondering: where does R search for the startup files (my home directory at Users:<me>:?); how should they be named (.RProfile will be treated by Mac OS X as a system file and be hidden, so I'm wondering if it should just be

I would like to set up identical R installations, with the same packages, on multiple computers and with minimal interaction by users. Ideally, I would like to have an installation script that the user can just run that will set up everything, including R itself and base packages. Standard packages would need to include ggplot2 and its dependencies, Rcmdr and its dependencies and some Rcmdr

I have been having the same problem as poster Hodgess, below. It appears that her question was never answered, so I would like to share a solution with the community. The problem is the (apparent?) inability to produce moving range process behavior (a.k.a. "control") charts with individuals data in the package "qcc" (v. 2.0). I have also struggled with the same limitation in

Hello, I'm just getting in to R, been reading manuals (thanks to all who provided pointers to good docs!), and messing with different commands. I'd appreciate a little help with this exploration, and I hope that my question is relatively easy to answer (probably, there's a simple way to do what I'm working toward). R's statistical functions are coming along easily enough,