search for: spine

...n each region, I want to do a t test to find whether there is any difference between the two strains. Here is what I did (using simulated data as an example): # create the data frame > elemconc = data.frame(expand.grid(id=1:3, geno=c('exp', 'wt'), region=c('brain', 'spine'), elem=c('fe', 'cu', 'zn')), conc=rnorm(36, 10)) > elemconc id geno region elem conc 1 1 exp brain fe 8.497498 2 2 exp brain fe 9.280944 3 3 exp brain fe 9.726271 4 1 wt brain fe 11.556397 5 2 wt brain fe 10.992550 6 3 w...

...o a solicitar su ayuda porque no puedo saber que pasa. Estoy usando el documento 'Regresión Logística Categor/Tema 4 Cate.pdf como guía y el ejemplo que ustedes conocen de los cangrejos (crab.txt). Cargo los datos, los guardo en un data frame llamado tabla; al pedir tabla[1:5,] obtengo: color spine width satell weight 1 3 3 28.3 8 3050 2 4 3 22.5 0 1550 3 2 1 24.0 9 2300 4 4 3 24.8 0 2100 5 4 3 26.0 4 2600 Se desea discretizar satell para tener 1 si tiene concubinos y 0 para cuando no...

Dear all, I wonder what's special about spinograms {vcd} that prevents me from using it the way I do with other plots. I do: > spine(f.speaker.identity ~ x.log.lengthening, > data=ms,breaks=45,gp=gpar(fill=c("red","green")),xlab="length difference > (log ms)",ylab="speaker") > curve(0*x,add=T) Error in plot.xy(xy.coords(x, y), type = type, col = col, lty = lty, ...) : plot.ne...

I want to compare the fit of a quadratic model to continuous data, with that of a cubic spline fit. Is there a way of computing AIC from for e.g. a GAM with a smoothing spine, and comparing this to AIC from a quadratic model? Cheers ****************************************** Tom Reed PhD Student Institute of Evolutionary Biology 102 Ashworth Laboratories Kings Buildings University of Edinburgh Edinburgh EH9 3JT tom.reed@ed.ac.uk Tel. 00 44 (0)131 6505462 h...

If yes, how do I set it up in the yml file? Thanks. - amateur Railist -------------- next part -------------- An HTML attachment was scrubbed... URL: http://wrath.rubyonrails.org/pipermail/rails/attachments/20060818/6690a4e2/attachment.html

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 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

...f them have 'silently' been included in previous bug fix releases): * Improved documentation: - an introductory vignette on the strucplot framework (including mosaic, association and sieve plots) - special vignettes on using/extending shading and labeling functions * New function spine() for spinograms and spine plots * New function cd_plot() for conditional density plots * New function cotabplot() for visualizing conditional independence in a trellis-like layout, providing panel functions for association, mosaic, and sieve plots * Sieve plots are now integrated in the st...

...f them have 'silently' been included in previous bug fix releases): * Improved documentation: - an introductory vignette on the strucplot framework (including mosaic, association and sieve plots) - special vignettes on using/extending shading and labeling functions * New function spine() for spinograms and spine plots * New function cd_plot() for conditional density plots * New function cotabplot() for visualizing conditional independence in a trellis-like layout, providing panel functions for association, mosaic, and sieve plots * Sieve plots are now integrated in the st...

I am trying to do this, but it won't work: > library(lattice) > elemconc = data.frame(expand.grid(id=1:20, geno=c('exp', 'wt'), region=c('cor', 'cr', 'spine'), elem=c('fe', 'cu', 'zn')), conc=rnorm(360, 10)) > elemconc$geno = factor(elemconc$geno) > elemconc$region = factor(elemconc$region) > for (i in as.character(levels(elemconc$region))) { + densityplot(data=elemconc, ~conc, subset=region==i) + } -- Kaiyin Zhon...

Hi Has anyone tried to fit a thin plate spine to a triangular plot before? I'm having trouble working out a piece of code to make it possible with three axes. I have done it before with two axes. I've found a package I prefer that makes triangular plots (plotrix) using the triax.plot() function. An example of some data and the plot f...

Hi, I'm trying to work through a Nested ANOVA for the following scenario: 20 males were used to fertilize eggs of 4 females per male, so that female is nested within male (80 females used total). Spine length was measured on 11 offspring per family, resulting in 880 measurements on 80 families. I used the following two commands: summary(aov(Spinelength ~ Male*Female)) and summary(aov(Spinelength ~ Male/Female)) I get the same mean squares either way, which doesn't seem right to me. In...

I want to make a multi-dimensional array. To be specific I want to make the following array results<-array(0,dim=c(2,2,64,7)) This is the code I have created but it gives no result due to the error "subscript out of bound". x<-rep(7,7) # Missingness in intervention y<-rep(7,7) # Missingness in control

...nk and it says: Sorry, specify wine library directory. I cannot go any further with the Java setup for this college program design until I get this problem fixed... Is there anyone out there who can help me with this? Sorry, I am newbie at this (56 yr old fireman with broken spine) and lots of time... I Love Linux and they supply program packages for Windows platforms or Mac OS X 10 or something like that... So, I chose to use the Windoze do to NO experience with Mac at all! Thanks for anything at ALL, Artie Caton Using *Gateway NE56R31u Laptop* 64bit platform twin process...

...re M. Lawson, thanks may come a little more freely of they weren't treated with such repudiation beforehand. Your efforts are valued as they may lead to a solution, however, would you pick up an echidna if you knew it was the answer to your itches, especially with those fearosme quills and spines??? Maybe you should tame your approach, then you could improve your sex life... Kindest regards, Nicholas Tomlin.

Another newbie question I got the 1 minute spine interpolation and 15 mean aggregation working with many thanks to Gabor Grothendieck using Zoo functions. I got a tip from Hasan Diwan to look at xts but it seemed I would make better progress using code from Gabor. Now I'm having trouble plotting this zoo object. I'm thinking I want a f...

I am using wine-1.3.25 on kubuntu natty 11.04 (64 bit). I am trying to start wine explorer, but it crashes every time, even with a "clean" .wine directory. --------------------------------\ $ env WINEPREFIX=/home/greenman/.wine-junk wine explorer fixme:nstc:NSTC2_fnSetControlStyle2 mask & style (0x00000004) contains unsupported style(s): 0x00000004

The version of dovecot in freebsd ports tree is still 2.3.6, any idea when this will be updated to 2.3.7? -- "I can't see the point in the theatre. All that sex and violence. I get enough of that at home. Apart from the sex, of course." - Baldrick

...he user focus on what to plot, rather than on the "how" during exploratory data analysis. Based on the characteristics of a data frame and a formula, it tries to automatically choose the most suitable t ype of plot (supported options are scatter, violin, box, bar, density, hexagon bin, spine plot, and heat map). It also automates handling of observation weigh ts, logarithmic axis scaling, reordering of factor levels, and overlaying smoot hing curves and median lines. Plots are drawn using 'ggplot2'. Please see the v ignette for some examples. I welcome all feedback, suggestion...