similar to: recursive root finding

Hello community, I''m new to rubyonrails and to this Forum. I have to call 2 Fields, generated by ruby, from a javafunction (onSubmit) but when I use this example it didn''t work, why? <%= start_form_tag({:action=> "show"}, { :onSubmit =>"post[testfieldone].value=examplefunction(post[textfieldtwo].value+post[textfieldthree].value);" }) %>

Hi there, Although I'm a quite experienced R user and know my ways in C, I stumbled upon a problem I don't know how to solve. Therefore, I hope someone can provide me with the information or pointers I need in order to understand the way in which the communication between R and C occurs. I have the following C code which basicallly reflects what I want: typedef struct { float

What should have been a routine upgrade to ZFS 0.6.4.1-1.el6.x86_64 somehow failed, and now I've lost access to a 2T raidz2 array. I've tried removing all zfs and related packages (spl*), then starting fresh. For reasons that have have nothing to do with this problem (I don't think), I'm still booted to kernel 2.6.32-431.29.2.el6.x86_64, and there are no other kernels installed.

Dear all, After struggling for some time with *apply() and eva() without success, I decided to ask for help. I have 3 lists labeled with, each contains 3 different interpolation functions with identical names: > names(missgp0) [1] "spl.1mb" "spl.2mb" "spl.5mb" > > names(missgp1) [1] "spl.1mb" "spl.2mb" "spl.5mb" > >

Hi R-users, I inted to make multiple plots using for loop. The question is how can I adjust the left hand side margin of the plot according to the names.arg argument in barplot2. In every plot I have different annotations in the y axis and they vary in length. Now when I have fixed margins opar <- par(mar=c(3,15,0,2)... I get the same margins in all of the plots. That leaves lots of white

Dear R users, Suppose I have a data set with inconsistent names for a field. I desire to make these to consistent names. i.e "University of New Jersey", "New Jersey Uni", "New Jersey University" (3 different inconsistent names) to "The University of New Jersey" (consistent name) Below are arbitrary data set produced from "state.name" (built

Dear all, I'm trying to use the Pspline add-on package to fit a quintic spline (norder =3), but I keep running into a Singularity error. > traj.spl <- smooth.Pspline(time, x, norder=3 ) Error in smooth.Pspline(time, x, norder = 3) : Singularity error in solving equations > Playing around with the other parameters produces an "unused arguments" error: > traj.spl

I am not certain that this is the right place to post this, but maybe some kind soul can point me in the right direction if not. And I apologize if this is the wrong spot...The reason I posted here is that I recall running across a syslinux changlog that said "..added support for reading .spl..." files. I want to customize the suse boot up splash screens (for a CD install). I have been

Dear All, I've been?searching for?appropriate codes to compute the rate of change and the curvature?of ?nonparametric regression model whish was denoted by a smooth function?but?unfortunately?don't manage to?do?it. I presume that such characteristics from a smooth curve can be determined by the first and second derivative operators. The following are the example of fitting a

I successfully combined my data frames, and am now on my next hurdle. I had combined the data and quarter, and used tapply to count the entries for each unique date/quarter pair. ar= tapply(ewrgnd$gw, list(ewrgnd$dq), sum) #for each date/quarter combination sums the gw (which are all 1) dq=row.names(ar) spl=strsplit(dq) But I need to split them back into the separate date and quarter. So I used

I've been trying to figure out how to read in a large file for a few days now, and after extensive research I'm still not sure what to do. I have a large comma delimited text file that contains 59 fields in each record. There is also a header every 121 records This function works well for smallish records getcsv=function(fname){ ff=file(description = fname) x <- readLines(ff)

Hi, How can I extract part of an array? I would like to extract table Supported from this array. If this is not possible, how do I convert array to list? I'm sorry this is not an reproducible example. > spl <- tapply(temp$var1, list(temp$var2, temp$var3, temp$var3), mean) > spl , , Supported 07 08 A 68.38710 71.48387 B 21.67742 20.83871 C

hi all I have R object look like this: > spl $SB012XSB044 DPW Cross 1 66.6 SB012XSB044 2 96.5 SB012XSB044 3 78.8 SB012XSB044 4 68.6 SB012XSB044 5 62.0 SB012XSB044 6 72.1 SB044XSB012 7 72.2 SB044XSB012 8 69.6 SB044XSB012 9 87.9 SB044XSB012 10 84.4 SB044XSB012 11 51.9 SB044XSB012 12 65.5 SB044XSB012 $SB012XSB099 DPW Cross 13 100.9 SB012XSB099 14 44.4 SB012XSB099

Dear R Users, I have an xyplot() where different plotting symbols are used for subgroups (originally used within S-Plus, but hopefully it?s also applicable to R users). How can I fit separate regression lines for every subgroup? So far, I can only plot the overall fitted line. The code looks like this: trellis.device() sps<-trellis.par.get("superpose.symbol") sps$pch<-1:7

On 21 Jun 2015 04:46, "Robert G. (Doc) Savage" <dsavage at peaknet.net> wrote: > > What should have been a routine upgrade to ZFS 0.6.4.1-1.el6.x86_64 > somehow failed, and now I've lost access to a 2T raidz2 array. I've > tried removing all zfs and related packages (spl*), then starting fresh. > For reasons that have have nothing to do with this problem (I

Dear R-Helpers, I'm working with immunoassay data and 5PL logistic model. I wanted to experiment with different forms of weighting and parameter selection, which is not possible in instrument software, so I turned to R. I am using R 2.14.2 under Win7 64bit, and the 'nls' library to fit the model - I started with the same model and weighting type (1/y) as in the instrument to see

Hello, I am trying to estimate a multivariate regression of Y on X with regression splines. Y is (nx1), and X is (nxd), with d>1. I assume the data is generated by some unknown regression function f(X), as in Y = f(X) + u, where u is some well-behaved regression error. I want to estimate f(X) via regression splines (tensor product splines). Then, I want to get the predicted values for some new

Dear R-helpers, I am developing a Mixed-Effects model for a study of immunoassays using 'lme4' library. The study design is as follows: 10 samples were run using 7 different immunoassays, 3 times each, in duplicates. Data attached. I have developed the following model: c.lme <- lmer(Result~SPL + (SPL|Assay/Run) -1, data=data) This model has excellent predictions - the Rsquared of

Dear r-helpers, plot(all.effects()) uses trellis for its output, and often produces several effect plots in a layout. Can anyone tell me how to set the arguments to plot.effect which default to row=1, col=1, nrow=1, ncol=1, more=FALSE so that I can plot multiple effect plots on one layout? I was hoping that a call like last <- rep(c(TRUE, FALSE), c(3, 1)) lay <-matrix(c(1:4,), 2, 2,

Dear R users, I have a dataframe where column is has countries, column 2 is dates (monthly) for each countrly, the next 10 columns are my factors where I have measurements for each country and for each date. I have attached a sample of the data in csv format with the data for 3 countries. I would like to convert my monthly data into quarterly data, finding the mean over 3 month periods for