similar to: MLE Estimation of Gamma Distribution Parameters for data with 'zeros'

Dear R Users, I am trying to obtain a best-fit analytic distribution for a dataset with 11535459 entries. The data range in value from 1 to 300000000. I use: fitdistr(data, "gamma") to obtain mle's for the parameters. I get the following error: Error in optim(start, mylogfn, x = x, hessian = TRUE, ...) : non-finite finite-difference value [1] And the following warnings:

Dear List, Do you know any way I can convert XML parameters into column headers. My data is in a csv file with each row containing a xml form of data , and multiple parameters ( <param1> data_val1 </param2> , <param2> data_val2 </param2> ) I want to convert it so each row caters to one record and each parameter becomes a different column. param1

I am sure there is a simple solution to this... I have a column in a data frame specifying a grouping (1, -1) for my observations, and need to mutliply each observation in all the other columns of the data frame by the corresponding value in the given column. I played with apply, and saw some suggestions for sweep, but did not manage to get it working. My table contains NAs.... Example of

Hi, I am trying to generate a link to external site with GET parameters ( in new window). I tried following code, but it does not produce any parameters. <%=link_to "Open New Page", "https://www.foo.com/page/", {:popup => true}, {:param1 => "value1", :param2 => "value2"}%> and <%=link_to "Open New Page",

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

Hi there, I would like to know if it is possible to modify a text file with a R function. In fact I would like to know if a function "Search & Replace" exists. My problem is to create config files from a Base file in which I have to modify values of parameters. My Base File: #... #... Param1= V1_1 #... Param2 = V2_1 Param3 = V3_1 #... What I would like for each created file

Hello, I have longitudinal data of the form below from N subjects; I am trying to create figure with N small subplots on a single page, in which each plot is from only one subject, and in each plot there is a separate curve for each value of param1. So in this case, there would be four plots on the page (one each for Bob, Steve, Kevin and Dave), and each plot would have two separate curves (one

I am trying to use bugpoint to reduce the bytecode for a bug in one of my transformations. Normally I run opt as such: opt -load=libmine.so -mypass -param1 -param2 -o b.bc a.bc Here, -mypass specifies a pass and -param1 and -param2 are just parameters that -mypass uses. I added them using the command line parsing library that llvm supports. I tried running bugpoint with the following:

Hi again, When you have an ''obeserver'' setup as follows: $(''myForm'').observe(''submit'', validateForm); If a user submits the form the ''validateForm'' function is called and is automagically passed the ''event'' to work with. This is fantastic! But is there a way to pass another argument to the function?

PLEASE REMOVE ME FROM THIS LIST SERVE IMMEDIATELY!!!!!! On Wed, Dec 12, 2012 at 6:41 PM, dada <paxkn@nottingham.ac.uk> wrote: > Hi > I would like to do neural netowrk analysis on my data. It look like this: > > drug param1 param2 param3 param4 param5 class > A 111 15 125 40 0.5 1 > B 347 13 280 55 3 2 >

I am having some trouble creating a hierarchy of virtual classes (akin to the class structure in the 'Matrix' package). I think they arise from my not understanding the best way to specify virtual subclasses of a virtual class. please see questions below code. setClass("mom") setClass("kid1", representation("mom", "VIRTUAL"))

Hello! I have a set of data of the form (x, y1, y2) where x is the independent variable and (y1, y2) is the response pair. The model is some messy non-linear function: (y1, y2) = f(x; param1, param2, ..., paramk) + (y1error, y2error) where the parameters param1, ..., paramk are to be estimated, and I'll assume the errors to be normal for sake of simplicity. If there were only one

Dear members, I'm using R to do some test computation on a set of parameters of a function. This function is included in three for() loops, first one for replications, and the remaining two cycling through possible parameters values, like this : for (k in replicates) { data <- sampling from a population for (i in param1) { for (j in param2) { result <- function(i,

Hi I have this problem: <script> var param1 = ''field3''; </script> <script> var param2 = ''field3''; </script> <script> var param3 = ''field3''; </script> <%= submit_tag ''Next'', {:onsubmit => ''return validate_options(param1,param2,param3);''} %> function

Dear R-users, I am a dentist (so forgive me if my question looks stupid) and came across a problem when I did simulations to compare a few single level and two level regressions. The simulations were interrupted and an error message came out like 'Error in MEestimate(lmeSt, grps) : Singularity in backsolve at level 0, block 1'. My collegue suggested that this might be due to my codes

Hello I'm trying to solve two sets of equations (each set has four equations and all of them share common parameters) with nlminb procedure. I minimize one set and use their parameters as initial values of other set, repeating this until their parameters become very close to each other. I have several parameters (say,param1, param2) and their constraints are given as inequality and depend

Adds H.264 and MPEG2 codec support via VP2, using firmware from the blob. Acceleration is supported at the bitstream level for H.264 and IDCT level for MPEG2. Known issues: - H.264 interlaced doesn't render properly - H.264 shows very occasional artifacts on a small fraction of videos - MPEG2 + VDPAU shows frequent but small artifacts, which aren't there when using XvMC on the same

Adds H.264 and MPEG2 codec support via VP2, using firmware from the blob. Acceleration is supported at the bitstream level for H.264 and IDCT level for MPEG2. Known issues: - H.264 interlaced doesn't render properly - H.264 shows very occasional artifacts on a small fraction of videos - MPEG2 + VDPAU shows frequent but small artifacts, which aren't there when using XvMC on the same

Hola, Quiero saber si es posible programar una cópula donde las funciones marginales son multivariantes, siguiendo el esquema del package ''Copula''. Es decir, Copula(F(x,y), G(w,z))) En el caso de funciones marginales univariantes, un ejemplo de la normal multivariante quedaria de la siguiente forma,