similar to: regression on data subsets in datafile

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

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

Hello, I have a dataframe with columns like: parameter1 parameter2 metricname value and I'd like to transform it into a dataframe with columns: parameter1 parameter2 metric1 metric2 metric3 where the values for each metric would be in the appropriate column. There are often multiple values for a given (parameter1, parameter2, metricname) triple. In this case, I want to use the

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

I am using lattice for a bar plot, having a little trouble removing ticks, tick labels from x-axis, but keeping them on the y-axis. I looked around quite a bit (http://tolstoy.newcastle.edu.au/R/e7/help/09/06/1733.html, help pages, etc), tried variations of "scales = list(alternating = c(0,0)", "scales = list(alternating = c(0,0), tck = c(0,0))" and others, couldn't quite

I have a dataset of the form below, consisting of one unique ID per row, followed by a series of visit dates. At each visit there are values for 3 dichotomous variables. Of the 8 different possible combinations of the three variables, 4 are "abnormal" and the remaining 4 are "normal". Everyone starts out abnormal, and then either continues to be abnormal at subsequent visits,

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

Hi All, New to R, but committed. I looked in a number of places but can't figure out my current problem. I have date of the type: Time Type1 Type2 Type3 1 .50 .25 .25 4 .55 .25 .20 5 .65 .20 .15 etc which describe the frequency of types 1, 2 and 3 (adding up to 100%) over time. I would like to create a stacked bar chart showing these

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

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

I have a large dataset similar to this: ID time result A 1 5 A 2 2 A 3 1 A 4 1 A 5 1 A 6 2 A 7 3 A 8 4 B 1 3 B 2 2 B 3 4 B 4 6 B 5 8 I need to extract a number of features for each individual in it (identified by "ID"). These are: * The lowest result (the nadir) * The time of the nadir - but if the nadir level is present at >1 time point, I need the minimum and maximum time of nadir

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

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

Hi, [I sent this to the plyr mailing list (late) last night, but it seems to be lost in the moderation queue, so here's a shot to the broadeR community] Apologies in advance for being more verbose than necessary, but I'm not even sure how to ask this question in the context of plyr, so ... here goes. As meaningless as this might be to do with the `iris` data, the spirit of it is what

Dear all, First, let's create some data to play around: set.seed(1) (df <- data.frame(Group=rep(c("Group1","Group2","Group3"), each=10), Value=c(rexp(10, 1), rexp(10, 4), rexp(10, 10)))[sample(1:30,30),]) ## Now we need the empirical distribution function: edf <- function(x) ecdf(x)(x) # empirical distribution function evaluated at x ##

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 all, I am looking to create a rank variable based on a continuous variable for subsets of the data. For example, for an R integrated data set about US states this is how a loop could create what I want: ### Example with loop data <- cbind(state.region,as.data.frame(state.x77))[,1:2] # choosing a subset of the data data <- data[order(data$state.region, 1/data$Population),] #

Dear all, I just found that some of the packages are not able to load any more, after I installed R2.0.1 in my Mac, it even affects my old R1.8 installs. It gives me errors when I load packages that contains "myEnv" settings. such as: RMySQL, DBI, Rggobi, etc. But others that does not require "myENV" is all right, like tcltk that only calls the c functions. The errors