similar to: Output a table formatted with standard deviations below means

Hello all, I am new to xtable. I have several datasets in the form of matrices. Consider the following two simple datasets which are 2 x 3 matrices. The rows in both matrices have the same meaning. For example the first row of both matrices are variable 1 and the second row of both matrices are variable 2. dataset1 = matrix( c(1,2,3,4, 5, 6 ), 2 , 3) dataset2 = matrix( c(4,3,5,10, 1, 0), 2, 3)

Dear all, I have a problem that has been driving me nuts. I have searched everywhere but could not find a comprehensive answer. I only get (sometimes contradictory) bits of information. I have a series of measurements with associated standard deviations, e.g: means +/- sd 10 +/- 0.2 13 +/- 0.4 09 +/- 0.3 The number of observations used to estimate any of these means was the same. Let's say

Hi all, I am trying to find sd of my rows in a matrix and i get column sd inspite of extracting rows. I tried to do the sqrt(var(x)) but that did'nt work as well, Here is my data genes 15 24 63 40 25 42 46 35 23 53 37 45 30 37 50 55 40 51 30 48 x<-sd(genes[1:5,]) y<-sqrt(var(genes[1:5,])) I get 4 sds for the 4 columns instead of 5 sds for my 5 rows. Thanks you in advance.

Hi all, I have used the apsrtable package to generate tables (using LaTeX and Sweave) for quite some. However, suddenly the notes option in the package appears to have stopped working (or I am doing something wrong). So, when I try to run the following commands (in the R console): > attach(NatExp.df) > model1.lm <- lm((1-schoolspend) ~ jadif) > model2.lm <- lm((1-nohousdisc) ~

Hello everyone, Peter (see my earlier post) recommended the following script for finding the means and standard deviations and putting them in table form. However, I would like the standard deviations under the means in brackets. Can anyone check this code to see how this can be adjusted? library(xtable) dataset1 = matrix( c(1,2,3,4, 5, 6 ), 2 , 3) dataset2 = matrix( c(4,3,5,10, 1, 0), 2, 3)

Hi there, I was wondering if someone closer to the work happening in the Ptalarbvorm branch could be so kind as to provide a little update on progress? I've heard tidbits from around the web that the improvement over 1.1 is at least as much as 1.1 was itself over 1.0. I know that myself and many others found Monty's occasional updates on Thusnedla development to be absolutely fascinating

I have a list of 20 values. The first time through a loop I want to find the mean and stnd.dev. of the first two values; the second time through the loop I want to find the mean and stnd. dev. of the first 3 values, etc. until the last time through the loop I want to find the mean and stnd. dev. of all 20 values, so I end up with 19 means and stnd. deviations. How would I construct such a loop?

Hello: My problem is that I have a data frame of means, and a data frame of standard deviations which match up to each mean. I have been trying to create 500 random numbers in a given dataset for each mean/sd combination, but I am only able to generate the last value in each data set to create one dataset (there should be 28 in all). Examining my code, what can I change to generate 28 datasets

Not sure where to file bugs against XiphQT... I have noticed that Theora encoded videos played through Quicktime (on Mac) using XiphQT are incorrectly reproducing the color of the video, and appear washed out. The same videos can be played via VLC and Firefox and are true to the original - so I don't believe it's a problem with the videos themselves or the encoding. I'm observing

Hello,   I would like to do a meta-analysis with the package « metafor ». Ideally I would like to use a mixed model because I’m interested to see the effect of some moderators. But the data set I managed to collect from literature presents two limits.   -         Firstly, for each observation, I have means for a treatment and for a control, but I don’t always have corresponding standard

Hi, I have a dataset of historical monthly temperature data that is grouped by weather station. I want to create z-scores of the monthly data using a base period of a subset of years. I subset the dataset first to include only data from the years (V2) that make up the base period so I could calculate the appropriate means and standard deviations V1 V2 V3 V12 V15 V16 V19 84

Hi All, I have a Quantum scalar i40 tape library. I need to configure it to TWO tape partition libraries, e.g., library_a and library_b, so that each library has its own tape drive. Then connect this physical tape library to two different CentOS servers so that each server can see its own media changer and tape drive. I once had a successful configuration on one host but NOT on the other. One

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Hello R-users, I have a symmetric matrix of numerical values and I want to obtain those values in the upper or lower triangle of the matrix in a vector. I tried to do the job by using two for-loops but it doens't seem to be a clever way, and I'd like to know a more efficient code for a large matrix of thousands of rows and columns. Below is my code for your reference. Thanks a lot.

Hello Everyone (Quick) question: Does anyone know a package/command or simply a way of creating a table of different panel data estimations (estimated using /*plm()*/ ) just as *mtable()* does for models estimated with /*lm()*/? It seems *mtable* (and *apsrtable* equally) only support /*lm*/ and some other classes but unfortunately not /*plm*/. I am pretty sure others must have encountered this

Hi, I have a number of multilevel models and I would like some Latex outputs of them. I usually use the "apsrtable" package, but it does not accept "lme" outputs. Neither does the "mtable" function in the "memisc" package. Is there any good alternative that I am missing? Thanks, Jonas

Hi, I want to export the result of glht in R into a LaTeX table, such as that result: Linear Hypotheses: Estimate Std. Error z value Pr(>|z|) Group1 - Group2 == 0 -0.14007 0.01589 -8.813 <0.001 "***" Group1 - Group3 == 0 -0.09396 0.01575 -5.965 <0.001 *** --- Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05

Hi - I have a series of 9 GAM regressions with about 5 parametric effects and three non-parametric effects in each. What is a good library or command for turning GAM outputs into publication-ready regression tables? I tried apsrtable and the mtable command in memisc but neither seemed to work with the gam output. I'd be okay with two separate tables - one for the parametric effects and

Hi all, I have time series data in a matrix format 20 rows x 205 columns and have been trying to replace outliers with NA. My first column contains the outliers threshold (3 Standard deviations) for each row - here's a bit of the first row sd3 V1 V2 V3 V4 V5 V6 V7 V8 V9 1 13.03267 1797157 75 84 58 -1.958649 0.048775 2.056198 8.063622

Dear R-community, I'm struggling with a paper that reports only fragmented results of a 2by2by3 experimental design. However, Means and SDs for all cells are given. Does anyone know a package/function that helps computing an ANOVA with only Means and SDs as input (resulting in some sort of effect size and significance test)? The reason why I'm interested is simple: I'm conducting a