similar to: Elegant way to transform dataframe?

Hello everyone, I have the following matrix [,1] [,2] [,3] [,4] [1,] 0.002809706 0.0063856960 0.0063856960 0.011749681 [2,] 0.004893124 0.0023118418 -0.0005122951 -0.014646465 [3,] 0.003547897 0.0063355297 0.0030410542 0.011403953 [4,] 0.004838299 -0.0040383645 -0.0090406831 -0.011027569 [5,] 0.035648755 0.0334815590 0.0380977404

I have a list x (say) that will contain many inputs to and outputs a model. x$input1 <- assign.input1(parameter1, parameter2) is one way to assign input1, but it would be neater to be able to do assign.input1(x, parameter1, parameter2) Is this a good idea? If so, what is a good way to do it? -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing

Hello, I'm new to R but wan't to use it to compute the statistics of my medical study. The study includes several parameters for a number of patients. Each parameter was assessed by a number of readers, once with a special condition, once without. Now I have a data.frame with colums like: PatientID, ReaderID, SpecialCond(yes/no), Parameter1, Parameter2..... the rows are not sorted, and

Hello again list, I thought I'd start a new thread, seeing as it's completely different from my previous question. Some functions I have written require many parameters, and so do not fit nicely into an 80 column width display. This is usually avoided, by spreading that particular statement over a few lines. This is something that I do in Matlab with the following: myFunc(

Hi there: I'm trying to run a large number of nonlinear regressions on a time series dataset, where the data will be formatted something to the effect of: ObservationID,time,dependentvar I'll have a number of time and dependentvars for each observation, and I want to apply a nonlinear regression to one ObservationID at a time, and I want to have a dataset that is the parameter

Hello, I have a quite simple question, I guess. I have a data frame and I would like to process the data in several ways. The processing is dependent on grouping (factors) and the parameter itself. Meaning for parameter1 in the df, I would like to calculate the mean and sd when grouping by factor1. But parameter2 might be different. I thought of a structure like this: group1 param1

I''m simultaneously getting into using Mocha and RSpec-style tests (courtesy of the simply_bdd plugin) and I''m struggling with some issues while trying to organize my specs/test. Here''s a code example illustrating the problem: context "update cliient invalid data" do include ClientsControllerSpecHelper specify "should render edit form" do

Hi, I have a file fileFoo.R, say that contains these two lines, invoking function foo that is specified in "foo_details.R": source("foo_details.R") foo(parameter1) I want to specify and pass parameter1 in my command line when invoking R in linux: R --no-save <fileFoo.R. How can I do that? And how can I retrieve the value of parameter1 in my fileFoo.R function

I have data of the form tC <- textConnection(" Subject Date parameter1 bob 3/2/99 10 bob 4/2/99 10 bob 5/5/99 10 bob 6/27/99 NA bob 8/35/01 10 bob 3/2/02 10 steve 1/2/99 4 steve 2/2/00 7 steve 3/2/01 10 steve 4/2/02 NA steve 5/2/03 16 kevin 6/5/04 24 ") data <- read.table(header=TRUE, tC) close.connection(tC) rm(tC) I am trying to calculate rate of change of parameter1 in

Hi All, I''ve been trying to use Hiera for node classification, my sit.pp is simple: node default { hiera_include("classes") } which has been working well with simple class definitions like: user@host$ cat testagent.yaml 2012-06-18 14:55:48 jon pts/13 --- classes: - motd Is anyone doing this in production? I''ve seen a little about this on line but it

Is it possible to simply send a message to appear as an AMI message/event, from the dialplan? For example exten =>123,1,ami(myEvent, param1, param2) and in the AMI a message appears like: Event: myEvent Privilege: call,all Channel: PJSIP/misspiggy-00000001 Uniqueid: 1368479157.3 ChannelState: 3 ChannelStateDesc: Up CallerIDNum: 657-5309 CallerIDName: Miss Piggy

Dear R users, I am a new R user and have some difficulty understanding the functioning of “outer”, where my question is from. I have read the posts related to the questions on the outer function, but unfortunately could not figure out where my mistake is. I have a function with two variables and three parameters (a density function that is not standard) and I want to draw the contourplot along

Dear puppetteers, I am having a philosophical question about parametrized classes. When building modules, one wants to be as flexible as possible, to try to target as many puppet flavors as possible. This is our target: - Foreman users, using foreman as an ENC with smart variables (or potentially any other ENC, but I would say this is the most widespread one). - Pure Puppet''s site.pp

I have found various posts about instance variables, session variables and parameters (each of which seems to use differnet syntax and have different view on the "best practice") I would like to find a single, reliable source that provides a good overview on all of it. Specifically, I would like to learn how to pass parameters between controllers and how to set session variables so

Hello R buddies, I want to apply a function on an array but for each element of the array I want to use a different parameter, So here is how I tried to enter the function: apply(as.matrix(X),2, function, parameter1 = arrayOfParameter) I put X as a matrix because it was initially an element of a list. It returns me an array with the same length as X but with values that I don't even

Hi everybody, I am trying to produce ptx code starting from OpenCL C. I am experiencing a problem concerning pointer parameters. Here follows an example: kernel void function(__global float* parameter1) {} NVIDIA NVCC Compiler: .entry function( .param .u32 *.ptr* .global .align 4 function_param_0 ) { ret; } CLANG + LLVM PTX backend // (skipping builtin functions definitions) .entry

This is really bugging me no matter what I''m trying. In javascript, I''m using the ajax.updater, and it (obviously) writes back out to a div. I want to then compare what was echoed out into this div (which came from the php file I listed in ajax.updater) with a string. test should equal "SomeString" because that is what is being echoed out to

Hello, I am attempting to "automate" a Bayesian normal linear regression using Zelig. Basically, I have a list containing several zelig() objects, each having a different formula, same data set, and same model (normal.bayes). My problem lies in the setx() method, where I am setting a numeric parameter to a value other than the mean. This is straightforward if I input the parameters

I have a form, with 3 fields, then in my controller I get the paramters to run a query but I don''t want to filter with paramters if they are nil or blank... I''m doing this @condition = '''' if(params.....) @condition = @condition + " myparamter = " + params[..... if(params.....) @condition = @condition + " myparamter = " +

Dear R users, I have two nonlinear equations, f1(x1,x2)=0 and f2(x1,x2)=0. I try to use optim command by minimize f1^2+f2^2 to find x1 and x2. I found the optimal solution changes when I change initial values. How to solve this? BTW, I also try to use grid searching. But I have no information on ranges of x1 and x2, respectively. Any suggestion to solve this question? Thanks, Kate