Hi John,
First off, thanks again for your help with this. Much appreciated.
I've attached a file of the original data (yes, as you can see there are
header names). These hour long files are zipped together on a computer
(which is actually an analyzer) and sent each morning to a server. I
then run the function below which extracts the data files and binds them
into daily files. I then save these files in the .RData format (the
'stuff' file I sent you). I agree that the way I am saving these files
must be causing the problem. I'm very new to R and this was the only way
I found to save the files, that 'seemed' to work. Please tell me if you
know a better way (I'm sure you do)!
###########Function used to extract and save######################
# this function extracts 1 hour iso data from zip files and creates
daily files
#
path = "Y:\\Data\\"
pathout = "Y:\\Daily\\"
time=Sys.time()
tt<- as.numeric(format.Date(time, "%Y%m%d"))
#tt<-"20110523" #used to manually enter in date
end = ".zip"
ind = paste(path,tt,end,sep="")
xx=unzip(ind)
#merge all files to one and split by day
iso<- c();d<- c()
for (x in xx) {
u<-read.table(x, header=TRUE, sep="", dec=".")
u$dataset = x
iso = rbind(iso,u)
udate<- unique(iso$DATE)
d=split(iso,iso$DATE)
}
#create directories and load if files exist. Then merge data from same
day and save
fname<- c()
finame<- c()
old<- c()
udate=gsub("[^0-9]","",udate)
for (i in 1:length(udate)){
#fname[i]<- paste(pathout,udate[i],sep="")
finame[i]=paste(pathout,udate[i],".RData", sep="")
deskdir<- dir.create(pathout,showWarnings=FALSE)
if (file.exists(finame[i])){
old=load(finame[i])
e3<- new.env()
old<- get('isot', e3)
isot = merge(old,d[i],all = TRUE)
save(isot, file=finame[i])
}else {
isot=d[i]
save(isot, file=finame[i])
}
}
rm(list = ls(all = TRUE))
#############End####################
Once I have these daily RData files (e.g. 20110520.RData) I'd like to be
able to grab any number of them and plot them all together. I'm trying
to get this process streamlines as much as possible so I can come into
work each day and plot the data from the last week with 'a click of a
button'.
Thanks again!
Mat
On 5/24/2011 7:15 PM, John Kane wrote:
Whoa, more data than I needed. I called the rdata file from your dput results
'stuff' so any commands to stuff is to that file
You say "The structure is kind of strange" and I have to agree with you. As
it stands I cannot get it to do anything A str(stuff) command show that it is
data.frame with 8258 obs. of 38 variables. However it also says a variable called
X2011.05.20.TIME which is a Factor w/ 114230 level--and this is patently nonsense.
It is almost a certainty that it is something about the code you are using to
load the data or the orginal structure of the file which is causing the problem
Simple commands like:
names(stuff)
stuff[1,1]
stuff[,1]dim(stuff)
are not working or returning nonsense
I took the file, wrote it back out of R as a csv file and read it bake in and
I seem to have something I can work with but, of course, that does not mean it
looks like your orginal data. Se my code below
Some quick questions
1. What is the format of the original data files?
2. What commands are you using to read the data into R?
Please supply the code.
3. Do the files actually have header names? It looks to me as if the reading
in command thinks you have variable names at the top of the column but you
don't and so it's using the first row of data as the variable names
Mysteps
#===================================================================
#I took the stuff file and did a write.table on it,
# storing the file as a text (or csv) file called mystuff
#===================================================
write.table(stuff, file="c:/rdata/mystuff.csv",
row.names = FALSE, sep=",",
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)
#====================================================
#now commands like
names(new.data)
new.data[,1]
dim(new.data)
# are working the way we would expect.
#=========================================================
names(new.data)
new.data[,1]
--- On Tue, 5/24/11, Mathew Brown<mathew.br...@forst.uni-goettingen.de>
wrote but
From: Mathew Brown<mathew.br...@forst.uni-goettingen.de>
Subject: Re: [R] plotting single variables common to multiple data frames
To: "John Kane"<jrkrid...@yahoo.ca>
Cc: r-help@r-project.org
Received: Tuesday, May 24, 2011, 10:38 AM
Here is some data. Only one day as
two days were too big. The structure
is kind of strange and I'm not sure how to 'grab' a single
variable from
it to plot. I would be happy if someone could tell me how
to do that.
Cheers
On 5/24/2011 3:55 PM, John Kane wrote:
None of the files came through. The R-help list
routinely srips off all attachments to cut down on the
change of viri .
You could provide the data in the email by using
dput. Type ?dput in the R console to get the help
page.
It is not clear from what you write whether you want a
line with one set of data consisting of all the data from
the seven files or if you want 7 lines (dots whatever) one
for each day.
A brute force way for the first approach is to combine
all the data.frames using rbind, and plot from there.
Example
=====================================================
xx<- data.frame(aa=1:10, bb = letters[1:10])
yy<- data.frame(aa=11:20, bb =
letters[11:20])
zz<- data.frame(aa=21:30, bb= sample(letters[1:
26], 10))
df1<- rbind(xx,yy,zz)
plot(df1$aa)
======================================================
If you want 7 sets someone else probably has a simple
solution. Without your sample data it's bit bit hard to
guess.
--- On Tue, 5/24/11, Mathew Brown<mathew.br...@forst.uni-goettingen.de>
wrote:
From: Mathew Brown<mathew.br...@forst.uni-goettingen.de>
Subject: [R] plotting single variables common to
multiple data frames
To: r-help@r-project.org
Received: Tuesday, May 24, 2011, 8:55 AM
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
figure out how to do this.
I've loaded them all up using this
time=Sys.time()
t1<- as.numeric(format.Date(time, "%Y%m%d"))
#date range of data to load
paluiso= c(); yy = c();
t1=t1-1
t0<-t1-7
x = t0:t1
for (i in seq( length(x) ) ) {
y=load(paste(datalocation,x[i],".RData", sep=""))
e3<- new.env()
yy[[i]]<- get('isot',
e3)
}
but I don't know how to grab single variables from
these
data frames and
plot them.
Any help is appreciated!
M
DATE TIME FRAC_DAYS_SINCE_JAN1
FRAC_HRS_SINCE_JAN1 EPOCH_TIME ALARM_STATUS
CavityPressure CavityTemp WarmBoxTemp
DasTemp EtalonTemp MPVPosition
OutletValve ValveMask h2o_ppmv
delta_18_16 delta_18_16_30s delta_18_16_2min
delta_18_16_5min delta_D_H delta_D_H_30sec
delta_D_H_2min delta_D_H_5min organic_82
organic_MeOHampl organic_base organic_c2h6conc
organic_ch4conc organic_res organic_shift
organic_slope organic_splinemax organic_squish
organic_y standard_base standard_residuals
n2_flag
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