similar to: unequally spaced factor levels orthogonal polynomial contrasts coefficients trend analysis

Hello R-help I don’t know how to interpret significance from the contr.poly() function . From the example below : how can I tell if data has a significant Linear/quadratic/cubic trend? > contr.poly(4, c(1,2,4,8))               .L         .Q          .C [1,] -0.51287764  0.5296271 -0.45436947 [2,] -0.32637668 -0.1059254  0.79514657 [3,]  0.04662524 -0.7679594 -0.39757328 [4,]  0.79262909 

Hi I have som financial tick data that i have converted in to 45 min bars. These are unequally spaced in time. I wonder if it is possible to plot these like bars as the plotOHLC does. As I have understood plotOHLC uses class(mts) that must be equally spaced? Regards Paer [[alternative HTML version deleted]]

Respected Sir, I am a MS CS scholar of Virtual University of Pakistan, I want to participate in GSoC 2016 for LLVM. Data Science, Networks, Information security, digital forensics and ethical hacking are my core areas of interest. Currently, I am working on a research project on live forensics of GPU and volatile memories like RAMs and Caches. I am looking forward your guidance to start my

Hello R-help I have the following data for a standard curve concentration(nM),fluorescence 0,48.34 2,58.69 5,70.83 10,94.73 20,190.8 50,436.0 100, 957.9   (1)Is there function in R to plot a spline. (2)How can I interpolation,say 1000 point from 0nM-100nM and store this as a data frame of concentration,fluorescence (3)How can I modify the code below so that instead of retrieving a concentration

Hi, any link[1] that I can find for "xva.py" did not seem to be working. where it has been moved? regards Andreas [1] http://www.xen.org/products/cloud_projects.html http://www.xen.org/files/xva/README -- Andreas Rieck Fraunhofer-Gesellschaft e.V. / Zentrale Abteilung C7 Kommunikationsmanagement Schloss Birlinghoven, 53754 Sankt Augustin Phone: (+49 2241) 14-2641 Fax: (+49 2241)

Hello I am trying to find a way to find the max value, for only a subset of a dataframe, depending on how the data is grouped for example, How would I find the maxmium responce, for all the GPR119a condition below: responce,mouce,condition 0.105902,KO,con 0.232018561,KO,con 0.335008375,KO,con 0.387025433,KO,GPR119a 0.576769897,KO,GPR119a 0.645120419,KO,GPR119a 0.2538608,KO,GPR119b

Hi   I have four groups   y1=c(1.214,1.180,1.199) y2=c(1.614,1.710,1.867,1.479) y3=c(1.361,1.270,1.375,1.299) y4=c(1.459,1.335) Is there a function that can give me the length for each, like the made up example below?   >function(length(y1:y2) [1] 3 4 4 2 [[alternative HTML version deleted]]

Hello again, unfortunately the following /etc/sysconfig/iptables file does not work: *nat :INPUT ACCEPT :OUTPUT ACCEPT :PREROUTING ACCEPT :POSTROUTING ACCEPT #-A PREROUTING -p tcp -m tcp --dport 80 -j REDIRECT --to-ports 8080 -A PREROUTING -p tcp -m tcp -d 144.76.184.154/32 --dport 80 -j REDIRECT --to-ports 8080 COMMIT *filter :INPUT DROP :OUTPUT ACCEPT :FORWARD DROP -A INPUT -m state --state

Hello R-help   I am trying to copy and paste large column of data from windows Excel into R base speed sheet using:   Data1<-edit(data.frame())   But I can only copy and paste one cell at a time which is time consuming.   Also how can assign each column to a variable. [[alternative HTML version deleted]]

Hello I am trying to find a way to find the max value, for only a subset of a dataframe, depending on how the data is grouped for example, How would I find the maxmium responce, for all the GPR119a condition below: I've tried tapply > tapply(GPR119data$responce, GPR119data$GPR119a, max) Error in tapply(GPR119data$responce, GPR119data$GPR119a, max) :   arguments must have same length

Hello, for my meta-analysis I try to test if two varainces are equal without using the raw scores. I have is the SD's, N's and the Means. I want to test the variances from dependent and independend samples. I assume I can use the var.test procedure for the independent samples, but what about the dependent samples ? Has anyone an idea how to realise this with R ? Thanks in advance

Hi, I think the API Reference for libvirt disappeared from libvirt.org: browsing to http://libvirt.org/html/libvirt-libvirt.html delivers no content. The content is still available via google cache http://webcache.googleusercontent.com/search?q=cache:libvirt.org/html/libvirt-libvirt.html So, is this removed on purpose? Or is this some bluff from my browser (but I checked this from different

Excerpts from Strahil Nikolov's message of 2023-03-24 21:11:28 +0000: > Gluster excells when you have more servers and clients to consume that data. you mean multiple smaller servers are better than one large server? > LVM cache (NVMEs) we only have a few clients. gluster is for us effectively only a scalable large file storage for one application. new files are written once and then

Hi there, I'd like to plot some maps. Is it possible for me to use SAS map data in R? Thank you. Best, Junjie _________________________________________________________________ your life. [[alternative HTML version deleted]]

Dear all using the orthogonal polymial on a set of data, I get an approximate density which basically is in the form: exp(-polynomial), as you know, the parameters are the converged coeeficients. obviously, It is hard, if not impossible, to use the inverse CDF method to get a sample and then plot density. then how can I plot the approximated density in order to have a graphical comparision

How do you remove one of the terms from an ordered polynomial contrast in your linear model. For example, I have significant terms for linear and cubic but not quadratic, how would i remove the quadratic term from lm(response~treatment) Cheers, Chris -- View this message in context: http://www.nabble.com/Orthogonal-polynomial-contrasts-tp16608353p16608353.html Sent from the R help mailing list

Hi, I have a two-way anova with unequal cell numbers that I want to analyze. The problem is I don't have individual observations of the data. I only have the sufficient statistics (mean, variance, # of observations) for each cell. Is there any existing function in S-plus that would allow me to do aov() with the sufficient statistics? The table is like G1 G2 G3 G5 G6 T1 T2 T3

Hello, I have a file with two dependent variables (three and five) and one independent variable. I do i.mod <- lm(cbind(three, five) ~ species, data=i.txt) and get the following output: Coefficients: three five (Intercept) 9.949 9.586 species -1.166 -1.156 I do a" i.can<-candisc(i.mod,data=i): and get the following output: Canonical Discriminant Analysis

Hello R-help Below is the output from the predict() function. How can I assign $y to a variable. >predict(function,df2) $x        V1 1   36.28 2   34.73 3   33.74 4   69.87 5   58.88 6   89.44 7   43.97 8   41.94 9   33.34 10  38.47 11  35.16 12  42.94 13  46.76 14  53.24 15  52.43 16  50.40 17  34.42 18  33.22 19  33.24 20  39.60 21  39.32 22  44.71 23  54.03 24  47.48 25  35.42 26  34.78

How can ordinary polynomial coefficients be calculated from an orthogonal polynomial fit? I'm trying to do something like find a,b,c,d from lm(billions ~ a+b*decade+c*decade^2+d*decade^3) but that gives: "Error in eval(expr, envir, enclos) : Object "a" not found" > decade <- c(1950, 1960, 1970, 1980, 1990) > billions <- c(3.5, 5, 7.5, 13, 40) > #