Hello all,
I have files (see attached) which are created daily. I want to load
about a weeks worth of them (7 daily files) and plot a weeks worth of
one variable together. So one variable name is delta_D_H. I would like
to plot this variable from all 7 days on one plot. I'm having trouble
figu
,",
col.names=FALSE )
#
# I, then, read the data back into a new file "new.data"
#
new.data<- read.csv("c:/rdata/mystuff.csv",
sep=",", header=FALSE)
#==
Hello,
I would like to split the attached data frame based on the DATE
variable. I'm having a real problem doing this. I am able to split
iso<-read.table(datuh.dat, header=TRUE, sep="", dec=".") #load
mylist=split(iso,iso$DATE) #split
str(mylist) #result seems a bit odd
However, after splitt
Hello,
I'm trying to load a weeks worth of files that are each named by the
date they were creaded (e.g., 20110601.RData), starting with the day
before today so if today is June 1, I would like to load 20110525-
20110531. The script was working until today, and x= 20110593 20110594
20110595 2
Awesome, thanks a lot!
On 6/1/2011 11:22 AM, Petr PIKAL wrote:
seq(as.Date(time)-7, as.Date(time)-1, by=1)
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Hi,
I'm trying to figure out how to make a plot with ylab showing the permil
symbol. Anyone know how to do this?
Thanks
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ode to work.
thanks
On Wed, 6 Jul 2011 09:45:49 +0100 (BST)
Prof Brian Ripley wrote:
> On Wed, 6 Jul 2011, mathew brown wrote:
>
> > Hi,
>
> > I'm trying to figure out how to make a plot with ylab showing the
> > permil symbol. Anyone know how to do this?
>
&
of the helpers here (and for
> all the work that went into making this possible in R).
>
> On Wed, 6 Jul 2011, mathew brown wrote:
>
> > Good point.
> >
> > Here is the code
> > plot(dat$timestamp,dat$delta_18_16, ylab="", xlab="(min)",
Hi there,
I'm running R on windows 7 with Rstudio. Everyday I receive a zip file
where a bunch of half-hourly files are zipped together.
I then use
xx=unzip(ind)
to get xx, which consists of :
[1] "./2011/A20112961503.flx" "./2011/A20112961503.log"
"./2011/A20113211730.slt" "./2011/A201132118
Great, many thanks.
On 11/29/2011 3:09 PM, Duncan Murdoch wrote:
On 29/11/2011 8:36 AM, Mathew Brown wrote:
Hi there,
I'm running R on windows 7 with Rstudio. Everyday I receive a zip file
where a bunch of half-hourly files are zipped together.
I then use
xx=unzip(ind)
to get xx,
Hi there,
This seems like it should be simple. I have a data frame of climate data
sampled every 10 min. I want to average the entire data frame into 30
min values (i.e., one value for each half hour). Functions like
running.mean give me a moving average but I want to reduce the size of
the
>>
>> # add the time back
>> newData$timestamp<- breaks[as.integer(rownames(newData))]
>> newData
>LwTempDownelling LwDownwelling LwDownwelling_min LwDownwelling_max
> LwTempUpwelling
> 1 17.39667 24.7 16.56667 31.60
> 1
Downwelling_max
LwTempUpwelling
1 17.39667 24.7 16.56667 31.60
17.90333
2 17.31000 41.0 35.15000 43.05
17.81000
timestamp
1 2011-11-01 00:00:00
2 2011-11-01 00:30:00
On Mon, Dec 19, 2011 at 4:28 AM, Mathew Br
Mathew Brown
Institute of Bioclimatology
University of Göttingen
Büsgenweg 2
37077 Göttingen, Germany
t: +49 551 39 9359
mathew.br...@forst.uni-goettingen.de
On 9/24/2011 6:00 PM, r-help-requ...@r-project.org wrote:
Send R-help mailing list submissions to
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Hello,
I'm trying to make a non-linear regression using the attached data and
this model. When I run it I get the following message:
Error in nls(y ~ 1/(a + w * x), data = df, start = list(a = 1, w = 1), :
singular gradient
mod <- nls(y~1/(a+w*x),data=df,start=list(a=1,w=1),trace = TRUE)
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