similar to: Averaging uneven measurements by time with uneven numbers of measurements

Hi I have a vector m: m [1] "ABC transporters" [2] "2" [3] "Acetyl-CoA" [4] "1" [5] "Energie" [6] "1" [7] "FAD Biosynthese"

I truncated and simplified my code and the read in data that I'm working with to isolate the issue. Here is the read in data and R script respectively: http://r.789695.n4.nabble.com/file/n4604287/test.csv test.csv http://pastebin.com/rCdaDqPm Here is the terminal/R shell output that I hope the above replicates on your screen: > source("elecLoad.r", echo = TRUE) > #Load

Hello, I have a question about the y-axis of plots. Actually I had about 60 values. About 80 percent of these values are less than 0.2, then the other 20 percent values are more than 4,max is 10. So when I plot these values together, the y-axis's range will go 0 to 10, and my major values (80% values <0.2) will be pressed around 0 on the bottom, while other several dots will scatter in

Hi R-helpers I would like to produce a histogram with uneven bins (e.g., 0, 1-2, 3-5, 6-10, 10-20, >20) but I would like the resulting bars to be the same width ( i.e., a bar's width would not be proportional to its corresponding bin size). Also, the x and y axes of my histograms frequently (almost always, actually) extend beyond the axis labels (i.e., there are unlabeled bars). I would

I have 4 univariate time series that I believe have correlation between them, I want to create a VAR model between them all. However I have an issue as 3 of them are the same length, however the 4th is smaller. meaning that i cannot use the 4th variable , is there anyway R can get round this issue? > length(tstemp) [1] 746 > length(tspres) [1] 746 > length(tswind) [1] 746 >

I am trying to import a file of daily index closing prices in business time which excludes weekends and holidays so deltat is not constant. My file looks like the following: date close 2003.0055 47.05 2003.0082 45.71 2003.0164 43.45 2003.0192 42.96 2003.0219 44.56 2003.0247 42.99 2003.0274 42.28 2003.0356 41.74 etc. >From what I saw in the EuStockMarkets file, it appears

I have a dataset where I have missing times (11:00 and 16:00). I would like the outputs to include the missing time so that the final time vector looks like "realt" and has the previous time's value. Ex. If meas at time 15:30 is 0.45, then the meas for time 16:00 will also be 0.45. meas are the measurements and times are the times at which they were taken. meas<-runif(18)

I have a combined date and time. I would like to separate them out into two columns so I can do things such as take the mean by time across all dates. meas<-runif(435) nTime<-seq(1303975800, 1304757000, 1800) nDateT<-as.POSIXct(nTime, origin="1970-01-01") mat1<-cbind(nDateT,meas) means1<- aggregate(mat1$meas, list(nDateT), mean) This doesn't do anything as each day

Hello, I am sure I am not the only person with this problem. I have a list with n elements, each consisting of a single column matrix with different row lengths. Each row has a name ranging from A to E. Here is an example: alph[[1]] A 1 B 2 C 3 D 4 alph[[2]] A 1 C 3 D 4 alph[[3]] A 1 D 4 E 5 I would like to create a matrix from the elements in the list with n columns such that the row names

Is there some reason why > (1:2)+(1:3) [1] 2 4 4 Warning message: In (1:2) + (1:3) : longer object length is not a multiple of shorter object length can't be made into an error? I realise it was there in S-PLUS, but since it produces a warning there can't be many examples on CRAN or Bioconductor using it, and I can't think of any situation where it would be used deliberately.

Good day: I am trying to use readcsvIts("nwr_data_qc.txt",informat=its.format("%Y%m%d%h%M %Y"),header=TRUE,sep="",skip=0,row.names=NULL,as.is=TRUE,dec=".") to read in a file (nwr_data_qc.txt) that looks like this: Time Y M D H Min CO2 2000.18790 2000. 3. 9. 18. 30. 373.60 2000.20156 2000. 3. 14. 18. 30. 373.34

Hi All, This is out of the topic question, but I''m hoping that you can help me. If for example I''m going to install a Fedora 4 64-bit with 8 to 12 Gig of physical memory, how much swap file of directory do I need to create? Thank you very much, Wennie

Hi Matt, thanks for responding. I left a couple of comments down below. Am 24.03.20 um 18:26 schrieb Matt Arsenault: > >> On Mar 24, 2020, at 12:24, Dominik Montada via llvm-dev <llvm-dev at lists.llvm.org> wrote: >> >> Hi all, >> >> recently when working with GlobalISel we have often encountered cases in the legalizer where instructions could not be

Hi all, recently when working with GlobalISel we have often encountered cases in the legalizer where instructions could not be narrowed because the narrowing code relies on G_UNMERGE_VALUES and therefore requires the source type to be a multiple of the narrow type. Often times these instructions can be widened without any problem to a fitting type. This has us writing legalization rules like

Hi! I''m doing load balancing for 5 dsl lines, each one with a dsl router attached to a linux machine ethernet plug. The problem is that I''m adding 15 more dsl lines, and I don''t have enough PCI slots in the linux machine to sum up 20 ethernet plugs (I already have 2 quad ethernet cards). So I''m considering connecting all dsl routers and the linux machine to a

Is it possible to plot unevenly spaced data with image/contour function? Below is an example of the type uneven data that I'm trying to plot with image/contour functions. For example, I would like to have the x-distance on the x-axis and y-distance on the y-axis and then the temperature values determine the color used. Unfortunately this data was sampled such that it is not evenly

https://bugs.freedesktop.org/show_bug.cgi?id=69827 Priority: medium Bug ID: 69827 Assignee: nouveau at lists.freedesktop.org Summary: Uneven, jerky mouse movement, increasing CPU usage QA Contact: xorg-team at lists.x.org Severity: normal Classification: Unclassified OS: Linux (All) Reporter: jimoe at

Obligatory: When will Centos 5.4 be ready? /me goes down into reinforced concrete bunker and locks all hatches and doors.

I have times and would like to round down to the earliest 30 minute increment. For instance, a time of 2011-04-28 09:02:00 (the as.numeric value = 1303999320) I would like it to be rounded down to: 2011-04-28 09:00:00 (the as.numeric value = 1303999200) Any ideas of how to do this? ----- In theory, practice and theory are the same. In practice, they are not - Albert Einstein -- View this

i have > x [1] 1 2 3 4 5 6 > y [1] 34 5 6 > z<-cbind(x,y) > z x y [1,] 1 34 [2,] 2 5 [3,] 3 6 [4,] 4 34 [5,] 5 5 [6,] 6 6 i don't want recycling, instead can we put NA /0 like below> z x y [1,] 1 34 [2,] 2 5 [3,] 3 6 [4,] 4 NA [5,] 5 NA [6,] 6 NA & want distance matrix -- View this message in context: