similar to: Problem with mutli-dimensional array

Dear all, I want to obtain the following result [[1]] , , 1, 1 [,1] [,2] [1,] 1 1 [2,] 1 1 , , 2, 1 [,1] [,2] [1,] 1 1 [2,] 1 1 ................ , , 9, 1 [,1] [,2] [1,] 1 1 [2,] 1 1 , , 10, 1 [,1] [,2] [1,] 1 1 [2,] 1 1 [[2]] , , 1, 1 [,1] [,2] [1,] 1 1 [2,] 1 1 , , 2, 1 [,1] [,2] [1,] 1

Dear all, I am trying to create a list, where each list element is a vector of different length arrays that contain 2by2 matrices. To be more specific there are 11 treatments that are compared with placebo (we have 11 comparisons) and each comparison is studied by a different number of trials and each trial has a different number of missing participants in both arms. The length of the list is

Dear all, I am trying to construct 25x31 different matrices of 2x2 dimension. Here is the problem: we have the following matrix matrix(c(54+s0, 43+s1, 56-s0, 67-s1), nrow=2, ncol=2, byrow=T) the values for s0 and s1 are c(0:24) and c(0:31), respectively. I wrote the following code without the desired results

Dear R users, I have a 51 by 51 matrix of p-values (named as pvalue_MA). I want to present graphically this matrix in a plot (filled contour plot) where both axes represent probabilities. I have also added a grid in this plot. I want to highlight in white the cells of the grid that represent p-values smaller than the (common) significance threshold, 0.05. The code from this plot is colored in

Dear R users, I am using the beadarray package. I am trying to upload raw bead-level data using these commands: ######################################################## library(beadarray) datadir <- ("C:/Computer_programs/R/beadarray/cecilia") targets = read.table("targets.txt", sep = "\t", header = TRUE, as.is = TRUE) BLData = readIllumina(arrayNames =NULL,

Dear all, as you can see from the code I want to create *a panel of 11 contour plots through a iteration process*. I found a thread that address the issue of plotting many contour.plots in the same device, but it does not address my problem! I emphasize that the 11 contour plots must be appeared in the same device through an iteration process and NOT individually! par(mfrow=c(4,3)) # I want them

I managed with success to export a data frame of 367 columns and 37 rows to a txt file, but unfortunately I couldn't manage the same with the transposed data frame. Specifically, it seems like the notebook cannot "read" correctly 367 columns, so it reads the first 145 columns and it folds down the rest of them and consequently it folds down the respective data.

Dear all, I am finding difficulty in the following, I would like to create an empty matrix e.g. 10x10 of 0s and sequentially fill this matrix with randomly placed a 1s until it is saturated. Producing 100 matrices of sequentially increasing density., This process needs to be randomized 1000 times., I assume i should run this along the following lines, 1) Create 1000 matrices all zeros, 2) add

Please also think about starting a thread with a new message > Sorry about that folks. Starting a new thread. May want to check out the VMware CentOS appliances as examples: http://www.vmware.com/vmtn/appliances/directory/820 http://www.thoughtpolice.co.uk/vmware/ > The appliance itself will host multiple Virtual Machines. Looks like we are leaning towards VMWare for the virtual

I am running kernel 2.6.5, gentoo linux...julian''s routes-2.6.4-10 installed eth0 = local eth1 = cable modem eth2 = T1 I am having issues with the machine actually sending packets out over each hop, it tends to default to eth2, almost never will it use eth1- I can make a rule to send traffic through the eth1 from certain hosts, and it will force the IP through that interface, but

Hi, I ran into a problem when using a multi select list in a form submitted through ajax. The name of the select element is something like foo[]. When multiple entries are selected the browser creates form data like foo[]=1&foo[]=2&foo[]=4 (url encoded of course). Rails then creates an array ["1","2","4"] for foo''s entry in the parameter hash.

Hi, I have created a multiple selection listbox with rails, when I try to get the rows selected by user, rails send back only the first one, how can I get the other selected rows???? I created the listbox with the following function: select_tag("form__list1", options_for_select(["A","B","C","D"], selected = "A"), html_options =

Hi All, I have a problem with a growing network. I inherited the network at about 200 machines and it's now reached 300 at which point the cracks are starting to show. I have no budget to speak of but need to up the bandwitdh so I'm looking at sticking an extra Gigabit NIC into my PDC and splitting the network into two subnets. I have two kinds of data, static and dynamic. Static files

Dear all, I want to do a logistic regression. So far I've only found out how, in a dataset of complete cases. I'd like to do logistic regression via max likelihood, using all the study cases (complete and incomplete). Can you help? I'm using glm() with family=binomial(logit). If any covariate in a study case is missing then the study case is dropped, i.e. it is doing a complete case

Dear all, I have been attempting to use multiple imputation (MI) to handle missing data in my study. I use the mice package in R for this. The deeper I get into this process, the more I realize I first need to understand some basic concepts which I hope you can help me with. For example, let us consider two arbitrary variables in my study that have the following missingness pattern: Variable 1

Dear R-devel list, I realized that removing a predictor in lm through the "-"'s operator in formula() does not affect the complete cases that are considered. A minimal example is: summary(lm(Wind ~ ., data = airquality)) # 42 observations deleted due to missingness summary(lm(Wind ~ . - Ozone, data = airquality)) # still 42 observations deleted due to missingness, even if only 7

Dear all, I would like to model the relationship between y and x. y is binary variable, and x is a count variable which may be possion-distribution. I think it is better to divide x into intervals and change it to a factor before calling glm(y~x,data=dat,family=binomail). I try to use rpart. As y is binary, I use "class" method and get the following result. >

There is a problem when importing an spss-file containing explicitly declared missing values in R using the read.spss function from the foreign package. I'm not sure these problems are the same in every version of spss, I am using the latest version 16.0.2. I included http://www.nabble.com/file/p18776776/missingdata.sav missingdata.sav and

There's a StackOverflow question https://stackoverflow.com/q/22024082/2554330 that references this text from ?missing: "Currently missing can only be used in the immediate body of the function that defines the argument, not in the body of a nested function or a local call. This may change in the future." Someone pointed out (in https://stackoverflow.com/a/58169498/2554330)

Hi, I am not a statistics expert, so I have this question. A linear model gives me the following summary: Call: lm(formula = N ~ N_alt) Residuals: Min 1Q Median 3Q Max -110.30 -35.80 -22.77 38.07 122.76 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 13.5177 229.0764 0.059 0.9535 N_alt 0.2832 0.1501 1.886 0.0739