mberg Tiburon Center
San Francisco State University
3150 Paradise Dr
Tiburon, CA 94920
www.nate-miller.org
On Wed, Mar 13, 2013 at 4:34 PM, Peter Ehlers wrote:
> On 2013-03-12 17:10, Nathan Miller wrote:
>
>> Hello,
>>
>> I have a challenge!
>>
>> I have
Hello,
I have a challenge!
I have a large dataset with three columns, "date","temp", "location".
"date" is in the format %m/%d/%y %H:%M, with a "temp" recorded every 10
minutes. These temperatures of surface temperatures and so fluctuate during
the day, heating up and then cooling down, so the da
es to stat_contour, but try
>
> ggplot(data=data, aes(x, y, colour=(factor(level)), fill=level))+
> geom_point()+
> stat_density2d(bins=2)
>
> HTH,
> Ista
>
> On Mon, Jan 28, 2013 at 2:43 PM, Nathan Miller
> wrote:
> > Thanks Ista,
> >
>
r criteria, but have you looked at
> ?stat_density2d?
>
> Best,
> Ista
>
> On Mon, Jan 28, 2013 at 12:53 PM, Nathan Miller
> wrote:
> > Hi all,
> >
> > I have been looking for means of add a contour around some points in a
> > scatterplot as a means of
Hi all,
I have been looking for means of add a contour around some points in a
scatterplot as a means of representing the center of density for of the
data. I'm imagining something like a 95% confidence estimate drawn around
the data.
So far I have found some code for drawing polygons around the
tempt to simplify example and just include the code I felt was
> > necessary I left out the loading of ggplot2, which then imports reshape2,
> > and which was actually used in the code I provided. Sorry to the mistake
> > and my misunderstanding of where the reshape function was coming fro
from.
Should have checked that more carefully.
Thanks,
Nate
On Thu, Dec 13, 2012 at 9:48 AM, David Winsemius wrote:
>
> On Dec 13, 2012, at 9:16 AM, Nathan Miller wrote:
>
> Hi all,
>>
>> I have played a bit with the "reshape" package and function along with
Hi,
I'm trying to create a plot showing the density distribution of some
shipping data. I like the look of violin plots, but my data is not
continuous but rather binned and I want to make sure its binned nature (not
smooth) is apparent in the final plot. So for example, I have the number of
indivi
Hi all,
I've spent quite a lot of time searching through the help lists and reading
about how best to run perform a 2-way ANOVA with unbalanced data. I realize
this has been covered a great deal so I was trying to avoid adding yet
another entry to the long list considering the use of different SS,
t someone else
might start their own exploration of these issues a little further down the
road than I found myself when I started looking into this.
Thanks,
Nate
On Wed, Nov 9, 2011 at 1:46 PM, David Winsemius wrote:
>
> On Nov 9, 2011, at 4:35 PM, Nathan Miller wrote:
>
> Sorry, I
Ok, I got it.
smean.cl.boot(x, conf.int=.95, B=1000, na.rm=TRUE, reps=FALSE)
Looks like its 1000.
Cool.
Thanks for the help,
Nate
On Wed, Nov 9, 2011 at 1:35 PM, Nathan Miller wrote:
> Sorry, I didn't realize I was being so obscure.
>
> Within ggplot it is possible to use sta
y looking
for details regarding how "mean_cl_boot" works. If you don't have
information regarding how it works (such as the default number of
resamplings) there is no need to respond.
Thanks for any assistance,
Nate
On Wed, Nov 9, 2011 at 1:10 PM, David Winsemius wrote:
>
Hello,
This is a pretty simple question, but after spending quite a bit of time
looking at "Hmisc" and using Google, I can't find the answer.
If I use stat_summary(fun.data="mean_cl_boot") in ggplot to generate 95%
confidence intervals, how many bootstrap iterations are preformed by
default? Can
Hi all,
Say I have a data frame something like the one below with different sample
vials, measured before(B) and after(A) some process, with a value recorded
at each measurement point
vialmeasurevalue
1 B26
1 A12
2 B 45
2
17.4 10
> 3 27.6 17.4 20
> 3 28.1 17.5 30
> 4 31.0 17.6 10
> 4 33.3 17.6 20
> 4 35.617.6 30"), header = TRUE, stringsAsFactors =
> FALSE)
> closeAllConnections()
&
Hello,
I am not entirely sure the subject line captures what I am trying to do, but
hopefully this description of the problem will help folks to see my
challenge and hopefully offer constructive assistance.
I have an experimental setup where I measure the decrease in oxygen in small
vials as an o
tor + to be at the end of
> a
> line, not at the beginning. Copy and paste this code verbatim to
> see what I mean:
> p + geom_errorbar(limits,width=0.2)
> + geom_point(aes(fill=factor(Temp)), colour = colors()[173],
> shape = 21, size=4)
>
> This happen
Hi all,
This seems like a basic problem, but no amount of playing with the code has
solved it. I have a time-series data set like that shown below (only longer)
and am seeking to plot the data with filled, circular points and error bars.
I would like the error bars to be behind the points otherwis
. The game is to write the function so that it
> takes a [list] model object (here, m) as input and a data frame as
> output. You can also extract output from summary(m) in a similar way,
> using m as the input object.
>
> HTH,
> Dennis
>
> On Mon, Aug 22, 2011 at 6:15 PM, Nathan
Hi all,
I have a data set that looks a bit like this.
feed1
RFU Site Vial Time lnRFU
1 811 10 10.702075
2 4752111 20 10.768927
3 4290511 30 10.66674
4 4686711 40 10.755069
5 4299511 50 10.668839
6 4307411
Hello,
I am trying to generate a set of boxplots using ggplot with the following
data with 4 columns (Day, Site, VO2, Cruise)
AllCorbulaMR
Day Site VO2 Cruise
1 11 148.43632670 1
2 11 61.73864969 1
3 11 92.64536096 1
4 11 73.35434957
nient as well.
Maybe I'll came back to the data filtering problem later.
Thanks for your help and comments,
Nate
On Tue, Dec 28, 2010 at 10:49 AM, David Winsemius wrote:
>
> On Dec 28, 2010, at 1:08 PM, Nathan Miller wrote:
>
> Hello,
>>
>> I am trying to filter a dat
Hello,
I am trying to filter a data set like below so that the peaks in the Phase
value are more obvious and can be identified by a peak finding function
following the useful advise of Carl Witthoft. I have written the following
for(i in length(data$Phase)){
newphase=if(abs(data$Phase[i+1]-data$P
Hello,
Thank you to all those great folks that have helped me in the past
(especially Dennis Murphy).
I have a new challenge. I often generate time-series data sets that look
like the one below, with a variable ("Phase") which has a series of
flat-topped peaks (sample data below with 5 "peaks"). I
Hello,
I am trying to create a series of boxplots with the following data, three
columns, "Day" (1 or 2), "Site" (1-4), and "VO2" (some values missing for
some Sites or Days)
> CorbulaMR3
Day Site VO2
111 88.92223
211 86.17873
311 61.08950
411 190.47922
Hello,
I am trying write a script that includes a prompt for user input using
readlines(). I am running into the problem that when I run readlines() as a
single line the prompt works perfectly, but when I try to run a block of
code which includes the readline function, the script doesn't wait for
Dennis and all,
Thank you for the help as I try to get this method for importing and batch
processing files organized. I currently have this set-up to import data from
two files in my working directory. "Var1" specifies data from file 1 and
file 2.
filenames=list.files()
library(plyr)
import
27 matches
Mail list logo
