similar to: Correlate two time series

Hi, I am writing a program to plot the correlation coefficients of 45 elements using the commend "plot". Error message "Error in plot.new() : figure margins too large" appeared. I think it may because there are too many elements. But I really need to find their correlation coefficients. What can I do? Thank you. Maggie [[alternative HTML version deleted]]

Hello, list why not add the smart proposal by Greg Snow as a built-in function in {stats}, just changing the "x234" and "newc" lines to allow for more distributions to be generated ? Or do I miss an already existing function to do that ? Regards. Olivier # slight modification of the original code by Greg Snow [mailto:Greg.Snow at intermountainmail.org] # on April 04, 2007

Hi all, I have two time series data (say x and y). I am interested to calculate the correlation between them and its confidence interval (or to test no correlation). Function cor.test(x,y) does the test of no correlation. But this test probably is wrong because of autocorrelated data. ccf() calculates the correlation between two series data. But it does not

Dear R-Users, I need functions to calculate Yule's Y or Cram?rs Index, in order to correlate variables that are nominally scaled? Am I wrong? Are such functions existing? Sincerely, Timo

Hello, Is there any way to correlate bugzilla bug IDs with the ones that are listed in RPM changelogs? For example, I'm pretty sure that bugzilla 14106 <https://bugzilla.samba.org/show_bug.cgi?id=14106> is the same bug as referenced in this RedHat changelog entry * Mon Oct 21 2019 Isaac Boukris <iboukris at redhat.com> - 4.9.1.10 - resolves: #1763650 - Fix spnego downgrade --

I am writing on the behalf of a colleague. She needs to evaluate the correlation between two time series. How can this be performed through R? (how many types of correlations can be performed and which are the commands to do it?) thank you for your help and attention Stefano

Hi, R! Question1: I am trying to correlate two vectors of numbers (two columns of microarray signal values) by using the non-parametric Spearman's rank correlation coefficient rho: > cor.test(V2.Signal,V3.Signal,method="spearman") but I get the error message: Error in if (q > (n^3 - n)/6) pspearman(q - 1, n, lower.tail = FALSE) else pspearman(q, : missing value

Hi all, I have two time series that I would like to correlate but as they are autocorrelated, I am "pre-whitening" them first by fitting ARIMA models, then correlating their residuals....as described in https://onlinecourses.science.psu.edu/stat510/?q=node/75 However, http://www.stat.pitt.edu/stoffer/tsa2/Rissues.htm discusses some issues with ARIMA in R. In particular, for issue 2, if

Dear all, I've been struggling with this through this weekend, I finally decided to ask help from you. Please let me know if there is effective way to deal with this problem. Thanks! Here is the problem: I have two matrices. Matrix A: a b c 4 5 2 3 2 1 4 5 6 Matrix B: d e f g h 3 4 5 2 1 2 3 7 8 6 8 5 1 3 4 I would like to correlate vector a of matrix A with with vectors d,e,f,g,h of

Background: OS: Linux Mandrake 9.1 release: R 1.9.0 editor: Xemacs 21.4 frontend: ESS 5.1.23 --------------------------------- Colleagues I have two time series (upwelling index and water temperature) of evenly spaced, daily data over 18 months, but the upwelling index series has a gap of about 2 months right in the middle of it. I want to do the acf, pacf, ccf, and a cross-spectral analysis

For example, given a multiclass for ADD 32 bit that might produce something like: ADD32_REG_REG_REG (operands are all registers for a 32 bit add) ADD32_REG_IMM_REG (srcA is a register, srcB is an immediate and dst is a register) ADD32_REG_IMM_MEM (srcA is a register, srcB is an immediate and dst is a memory address) What I'd like to do is replace an operand, for example, change srcA from a

Hi, How to correlate the LLVM IR-leve instructions and memory values with the machine instructions and memory locations? For example, if CMP instruction in machine ISA is selected for the ICMP instruction in LLVA, with the Instruction datastructure for ICMP, is it possible to get the memory address of CMP instruction? Assume that the code segment base address is given. Similarly, by

Thank your for reply. The reason why these information are needed is that I am trying to extract the program signature (e.g., control flow) out side of the binary. Conventional compiler technique adds extra checking code into the target source or target IR in an invasive manner. Since code generator combines the added code with the original one, they don't need to correlate these two

Keun Soo Yim wrote: > > Hi, > > How to correlate the LLVM IR-leve instructions and memory values > with the machine instructions and memory locations? Can you tell us what goal you are trying to accomplish that requires you to do this? There might be better ways of doing what you want. The answer to your question probably depends on whether you're trying to write a

This is a fairly entry level question - so any guidance on this would be appreciated... I have two sets of residuals, one of 100 values (A), and one of 10,000 values (B). There are 50 paired sets of these values. The data is in the form of two matrices (100x50 and 10,000x50). The goal is to correlate the residuals from A and B, to identify a those B values that go up when a single A value goes

I have some time stamped events that are supposed to be unrelated. I have plotted them and that assumption does not appear to be valid. http://metrak.com/tmp/sevents.png is a plot showing three sets of events over time. For the purpose of this exercise, the Y value is irrelevant. The series are not sampled at the same time and are not equispaced (just events in a log file). The plot is

Hello, I am new to R and have a problem I have had some trouble with. Basically I have a list of some 80000 genes or so with data points for expression levels at various time points/conditions. I also have subsets of these, usually only a few hundred genes in size, known to be associated with some biological process. What I want to do is correlate the entire list with my subset and then

I am in need of someone's help in correlating gene expression. I'm somewhat new to R, and can't seem to find anyone local to help me with what I think is a simple problem. I need to obtain pearson and spearman correlation coefficients, and corresponding p-values for all of the genes in my dataset that correlate to one specific gene of interest. I'm working with mouse Affymetrix

I have time-series data from a pair of inexpensive self-logging 3-axis accelerometers (http://www.gcdataconcepts.com/xlr8r-1.html). Since I'm not sure of the vibration/shock spectrum I'm measuring, for my initial sensor characterization run the units were mounted together with the sample rate set to the maximum of 640 samples/sec. Unfortunately, at this sample rate there are significant

What test do I use to determine if there is a correlation between a discrete variable and a continuous variable? For example - I have water quality ratings for streams (excellent, good, fair, poor) and a corresponding nitrogen concentration for each rating. I want to know if the the ratings correlate with the concentration of nitrogen in the stream. Help?