similar to: Create or Update Model with JSON?

Hi all, I''m working on a Backbone.js single page app with Rails 3.1, and in an attempt to save on HTTP requests, I want to embed initial data set in a HTML document that is sent back to the browser after successful login. I was thinking I can simply convert my ruby object to JSON, then HTML escape resulting string of JSON, and then use that as a value for JavaScript variable. Something

Hi. I'm looking for an R equivalent to something like function pointers in C/C++. I have a search procedure that evaluates the fitness of each point it reaches as it moves along, and decides where to move next based on its fitness evaluation. I want to be able to pass different fitness functions to this procedure. I am trying to find a good way to do this. I was thinking of passing in

Dear List: I am generating a series of plots iteratively using Sweave. In short, a dataframe is subsetted row by row and variable graphics are created conditional on the data in each row. In this particular case, this code ends up generating 17,000 individual plots. In some cases, all student data (this is working with student achievement data) are available and my code below works very well in

Hi R users, I'm using the survey package to calculate summary statistics for a large health survey (the Demographic and Health Survey for Honduras, 2006), and when I try to calculate the variances for several variables, I get negative numbers. I thought it may be my data, so I ran the example on the help page: data(api) ## one-stage cluster sample dclus1<-svydesign(id=~dnum, weights=~pw,

Hi all! I am working with GLMM using the binomial family I use the following codes I dropped no significant terms, refitting the model and comparing the changes with likelihood: G.1<-lmer(data$Ymat~stu+spi+stu*sp1+(1|ber),data=data,family="binomial") G.1b<-lmer(data$Ymat~stu+spi+(1|ber),data=data,family="binomial") anova (G.1,G.2) But, when I want to evaluate the

Hello! I am trying to write a function with vector and data.frame parameters that uses the sum() function and values from the rows of the data.frame. I need to pass this function as a parameter to optim(). My starting point is: observs <- data.frame(y, x1, x2, x3) Fn <- function(par, observs) { sum( (y - (par[1] * (x1 + 1) * x2^(-par[2]) * x3^par[3])^2 ) }

Hello! I am getting the following errors when running optim() [I tried optim() with 3 different methods as you can see]: Error in optim(c(0.66, 0.999, 0.064), pe, NULL, method = "L-BFGS-B") : objective function in optim evaluates to length 6 not 1 > out <- optim( c(0.66, 0.999, 0.064), pe, NULL, method = "Nelder-Mead") Error in optim(c(0.66, 0.999, 0.064),

Hello - What I want to do seems very simple - I want to make sure any H.323 traffic gets processed before anything else entering or leaving this network. The network has a videoconferencing device on the LAN at 192.168.16.4. A Linux firewall NATs an external IP Address to this internal address and I have appropriate SNAT and DNAT rules that work. The NAT and connection tracking rules all work

Hello, I use OpenSSH version 3.8.1p1. It works very good. I compile new version OpenSSH 3.9p1 but I get following warning: configure: WARNING: sys/ptms.h: present but cannot be compiled configure: WARNING: sys/ptms.h: check for missing prerequisite headers? configure: WARNING: sys/ptms.h: see the Autoconf documentation configure: WARNING: sys/ptms.h: section "Present But Cannot Be

On 2018-08-27, Stuart Henderson <stu at spacehopper.org> wrote: > On 2018-08-27, Zach Cheung <kuroro.zhang at gmail.com> wrote: >> After upgrading my VMware Fusion (10.1.3) Arch Guest to the latest with >> OpenSSH upgraded from 7.7p1 to 7.8p1, found that ssh from macOS Sierra >> (10.12.6) host to Arch guest via local NAT port forwarding failed, but via >>

Hi, I have a table with data, as below: dput(table): structure(list(Adrian.Cole = c(0L, 0L, 0L, 0L, 0L, 0L), Alison.Wong = c(0L, 0L, 0L, 0L, 0L, 0L), Andrei.Savu = c(0L, 0L, 0L, 0L, 0L, 0L), Bruno.Dumon = c(0L, 0L, 0L, 0L, 0L, 0L), Edward.J..Yoon = c(0L, 0L, 0L, 0L, 0L, 0L), Eugene.Koontz = c(0L, 0L, 0L, 0L, 0L, 0L), Jakob.Homan = c(0L, 0L, 0L, 0L, 0L, 0L), Kelvin.Kakugawa = c(0L, 0L,

<!doctype html> <html> <head> <meta charset="UTF-8"> </head> <body> <div> <br> </div> <blockquote type="cite"> <div> On 19/05/2020 16:48 Stuart Henderson <<a href="mailto:stu@spacehopper.org">stu@spacehopper.org</a>> wrote: </div> <div>

Greetings, We are having some rights issues on Samba 3.6.18 running on Slackware64 14.0 (the official Slackware Package). One of our users is having access issues and I believe I have traced the problem to the following entry in the log.smbd: Primary group is 0 and contains 0 supplementary groups Issuing the groups command for this user returns the 8 Linux groups in which the user has

<!doctype html> <html> <head> <meta charset="UTF-8"> </head> <body> <div> <br> </div> <blockquote type="cite"> <div> On 19/05/2020 17:18 Stuart Henderson <<a href="mailto:stu@spacehopper.org">stu@spacehopper.org</a>> wrote: </div> <div>

I'm trying to enter a vector into the subdiagonal of a matrix but cannot find a command in R which corresponds to the MatLab version of diag(vec, k), where vec = the vector of interest, and k = the diagonal (k=0 for the diagonal; k=-1 for the subdiagonal; k=1 for superdiagonal, etc.) Is there an equivalent command in R? I'm looking for something like this: vec = seq(1, 5, 1)

Hi! I am a bit new to R. I am looking for the right function to use for a multiple regression problem of the form: y = c1 + x1 + (c2 * x2) - (c3 * x3) Where c1, c2, and c3 are the desired regression coefficients that are subject to the following constraints: 0.0 < c2 < 1.0, and 0.0 < c3 < 1.0 y, x1, x2, and x3 are observed data. I have a total of 6 rows of data in a data set. Is

Hi all, My data genes [,1] [,2] [,3] [,4] [1,] 25 72 23 55 [2,] 34 53 41 33 [3,] 26 43 26 44 [4,] 36 64 64 22 [5,] 47 72 67 34 stu<-t.test(genes[,1:2],genes[,3:4]) > stu$p.value [1] 0.4198002 i get 1 pvalue for the entire col1:col2 Vs col3:col4. I am trying to get 5 p values for the 5 rows i have. I am trying to avoid a for loop coz my

After a few days of work, I think I nearly have it. Unfortunately, theta is unchanged after I run this (as a script from a file). I thought that theta would contain the fitted parameters. The goal here is to find the least squares fit according to the function defined as "rss" subject to the constraints defined as ui and ci. I defined ui and ci to (hopefully) force par2 and par3

Hi all, Forgive me if this question has been addressed, but I was unable to find anything in the r-help list or in cyberspace. My question is this: is there a function, or set of functions, that will enable a script to detect its own path? I have tried file.path() but that was not what I was looking for. It would be nice to be able to put all the related scripts I use in the same folder with a

Dear all I'm writing to the list for help as a last resort. I've exhausted all other options, so please forgive me. I've lurked here for years but never actually posted. I'm trying to get Asterisk Realtime SIP configuration working, but it refuses to do so. I have all the necessary configuration in place, Asterisk makes a connection to the database, which can be verified with