Displaying 20 results from an estimated 5000 matches similar to: "Keep value lables with data frame manipulation"
2011 May 17
1
simprof test using jaccard distance
Dear All,
I would like to use the simprof function (clustsig package) but the available distances do not include Jaccard distance, which is the most appropriate for pres/abs community data. Here is the core of the function:
> simprof
function (data, num.expected = 1000, num.simulated = 999, method.cluster = "average",
method.distance = "euclidean", method.transform =
2002 Dec 18
6
Can I build an array of regrssion model?
Hi,
I am trying to use piecewise linear regression to approximate a
nonlinear function. Actually, I don't know how many linear functions I
need, therefore, I want build an array of regression models to automate
the approximation job. Could you please give me any clue?
Attached is ongoing code:
rawData = scan("c:/zyang/mass/data/A01/1.PRN",
what=list(numeric(),numeric()));
len =
2012 Dec 10
1
Can somebody suggest how to achieve following data manipulation?
Dear all,
Let say I have following data:
RawData <- matrix(1:101, nr = 1); colnames(RawData) <- c("ASD",
as.character(as.yearmon(seq(as.Date("2012-03-01"), length.out = 100, by
= "1 month")))); rownames(RawData) <- "XYZ"
CutOffDate <- as.Date("2012-09-01")
NewDateSeries <- as.character(as.yearmon(seq(CutOffDate, to =
2008 Mar 23
1
mapply
In an earlier post, a person wanted to divide each of the rows of
rawdata by the row vector sens so he did below but didn't like it and
asked if there was a better solution.
rawdata <- data.frame(rbind(c(1,2,2), c(4,5,6))) sens <- c(2,4,6)
temp <- t(rawdata)/sens
temp <- t(temp)
print(temp)
Gabor sent three other solutions and I understood 2 of them but not the
2005 Aug 04
2
Avoiding for loop
I understand that in R, for loops are not used as often as other
languages, and am trying to learn how to avoid them. I am wondering
if there is a more efficient way to write a certain piece of code,
which right now I can only envision as a for loop. I have a data file
that basically looks like:
1,55
1,23
2,12
...
that defines a matrix. Each row of the data file corresponds to a row
of the
2009 Jul 14
2
How to provide list as an argument for the data.frame()
Hi R -users,
i've a table as describe below. I'm reading the numeric value presented in this table to populate a list.
#table
#============
#X A B C
#x1 2 3 4
#x2 5 7 10
#x4 2 3 5
#============
rawData <- read.table("raw_data.txt",header=T, sep="\t")
myList=list()
counter=0
for (i in c(1:length(rawData$X)))
{
print (i)
2012 Jan 20
2
rbind()
Hello there,
Much thanks in advance for any help. I have a few questions:
1) Why do I keep getting the following error:
File1 <- read.csv("../RawData/File1.csv",as.is=TRUE,row.names=1)
Error in file(file, "rt") : cannot open the connection
In addition: Warning message:
In file(file, "rt") :
cannot open file '../RawData/File1.csv': No such file or
2011 Sep 08
2
pie chart
Hi All,
I have txt file like :
$ cat data.txt
US 10
UK 12
Ind 4
Germany 14
France 8
> rawdata <- read.table(file='data.txt',sep='\t' , header=FALSE)
> rawdata
V1 V2
1 US 10
2 UK 12
3 Ind 4
4 Germany 14
5 France 8
I want to draw pie chart for the above data.
How to split rawdata into :
con <-
2009 Aug 03
2
Scale set of 0 values returns NAN??
Hi,
More questions in my ongoing quest to convert from RapidMiner to R.
One thing has become VERY CLEAR: None of the issues I'm asking about
here are addressed in RapidMiner. How it handles misisng values,
scaling, etc. is hidden within the "black box". Using R is forcing me
to take a much deeper look at my data and how my experiments are
constructed. (That's a very
2009 Sep 28
1
help with lda function
I am having a problem understanding the lda package. I have a dataset here:
[,1] [,2] [,3]
[1,] 2.95 6.63 0
[2,] 2.53 7.79 0
[3,] 3.57 5.65 0
[4,] 3.16 5.47 0
[5,] 2.58 4.46 1
[6,] 2.16 6.22 1
[7,] 3.27 3.52 1
If I do the following;
"names(d)<-c("y","x1","x2")
d$x1 = d$x1 * 100
d$x2 = d$x2 * 100
g<-lda( y ~ x1 + x2, data=d)
v2
2012 Jun 28
1
Merging listed dataset into one
Hello,
I'm wondering how I can merge two featuresets into one.
My dataset is two sets of microarray data and it looks like followings:
> rawData
$v1
TilingFeatureSet (storageMode: lockedEnvironment)
assayData: 2197815 features, 59 samples
element names: channel1, channel2
protocolData
rowNames: LT290677RU_D1_2011-02-16 LT286300LU_D1_2010-07-24 ...
LT003990RU_D1_2010-11-04 (59
2009 Jun 16
1
adressing dataframes
Hi everyone,
I experience some problems with adressing of data.frames when I retrieve
some information for geographical position (ypos, xpos) ot of a MySQL
Database and want to perform some simple statistics. The problem is
adressing the dataframes with a construct like
rawdata[c(type)] vs. rawdata$TEMPMIN
to retrieve the numerical information and not a string (I want to store the
numerical
2008 Mar 22
2
More elegant multiplication or division of a data frame with a vector
Hello,
I am importing some raw voltage multichannel measurements into an R
data frame. I need to scale each column with the respective
sensitivity for that channel. I figured how to do it, but I am curious
if there isn't a more elegant way.
Now I start with something like this:
rawdata <- data.frame(rbind(c(1,2,3), c(4,5,6)))
sens <- c(2,4,6)
and I do this:
data <-
2009 Sep 20
1
Return a list from a .Call but segfaults
Hello,
I call a function via .Call passing to it a raw vector(D) and an
integer(I)
The vector is a series K1,KData1, V1,VData1, K2, KData2, ...
where the integer K1 is the length of Data1 and similarly for Ki (wrt
Datai)(similarly for V*) There 2*I such pairs( (Ki,KDatai), (Vi,VDatai))
The numbers Ki(and Vi) are written in network order.
I am returning a list of I elements each element a
2009 Sep 29
1
help with lda function from MASS package
Thanks David,
Yes, I am talking about the MASS package.Thank you for pointing out that
these scale the same. My question is, how do I get from the V1 data:
V1
1 164.4283
2 166.2492
3 170.5232
4 156.5622
5 127.7540
6 136.7704
7 136.3436
to the other set of data:
+ 1 -2.3769280
+ 2 -2.7049437
+ 3 -3.4748309
+ 4 -0.9599825
+ 5 4.2293774
+ 6 2.6052193
+ 7 2.6820884
On Mon, Sep 28, 2009
1999 Dec 11
1
Problems with recursive MPUT
I'm running samba 2.0.5a on a Sun Sparc 5 with Solaris 2.6 and trying to
use smbclient to copy an entire directory tree to a Windows NT 4.0 box.
I'm using the recurse command and can create first level directories but
I am unable to create new subdirectories in any of them.
For example I created the following directory structure on the Sun:
1 % ls -R
.:
d1/ d2/
./d1:
f11 f12
2012 Mar 20
3
Wrong output due to what I think might be a data type issue (zoo read in problem)
Here's the small scale version of the R script:
http://pastebin.com/sEYKv2Vv
Here's the file that I'm reading in:
http://r.789695.n4.nabble.com/file/n4487682/weatherData.txt weatherData.txt
I apologize for the length of the data. I tried to cut it down to 12 lines,
however, it wasn't reproducing the bad output that I wanted to show.
The problem is that my whole data set
2009 Jul 31
1
scale subset of data
Hi,
This should be an easy one, but I have some trouble formatting the data
right
I'm trying to replace the column of a subset of a dataframe with the
scaled data for that column of the subset
subset(rawdata, code== "foo", select = a) <- scale( subset(rawdata,
code== "foo", select = a) )
It returns: could not find function "subset<-"
The scale
2009 Jul 31
2
concatenating multiple columns from files
R-users,
I want to concatenate columns from different files in a single object.
I'm doing bad. My peace of code is as follow:
rawdata <- list.files("./data")
for (i in rawdata) {
mat[ ] <- read.table(paste(i ,sep=""))
}
At the end of the loop I have just one column. What I'm doing wrong?
Thanks,
Fred
--
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2009 Oct 25
1
different plot symbols in key using xyplot
I'm using xyplot in a very simple way---a scatter plot of several data
sets. I'm having a problem getting auto.key to display different
point characters.
The following produces a plot that employes different colors, all with
pch(1), for the different groups, with a matching key.
xyplot(Force~Time, rawData, groups=Sample, panel = panel.superpose,
auto.key=TRUE)
The following