similar to: Fitting Gamma distribution

Buenas, he intentado varias veces instalar knitr y Rmarkdown tanto desde Rstudio como desde la terminal de Ubuntu usando diferentes codigos y en nunca consegui q lo instalara. el error q tira es el siguiente: Warning in install.packages : installation of package ?/tmp/RtmpavyTWw/downloaded_packages/stringr_1.0.0.tar.gz? had non-zero exit status Alguien me podria ayudar, porq estoy dejando

Hola Carlos, el ubuntu tiene compilador :) Este es el error completo al querer instalar el paquete stringr Installing package into ?/home/jose210179/R/i686-pc-linux-gnu-library/3.2? (as ?lib? is unspecified) --2016-03-15 21:46:23-- https://cran.rstudio.com/src/contrib/stringr_1.0.0.tar.gz Resolviendo cran.rstudio.com (cran.rstudio.com)... 54.230.163.212 Conectando con cran.rstudio.com

Hello to all LLVM Developers. Given a object from a LiveInterval class, is there any way to know if this Live Interval is part or is inside a loop? Att -- Natanael Ramos Membro do corpo discente de Ciência da Computação pelo Instituto Federal de Minas Gerais - Campus Formiga -------------- next part -------------- An HTML attachment was scrubbed... URL:

Dear, I always used dovecot in version 2.0 and in the last month i update my servers to dovecot 2.2 but now i have problems with comand dovecot import, not works for me, bellow i put 2 examples used in my tests in boths cases not works for me. Someone already saw some case similar or can help me with this ? doveadm import -u teste at aaaaa.com mdbox:~/mdbox-backup "" mailbox INBOX from

Hola Javier, si no estoy entendiendo mal, lo q deseo hacer no se trata de configurar los parametros SQL, sino solo de colocar un vector en el argumento VarTypes de la funcion sqlSave. El manual especifica esa opcion, pero no da ningun ejemplo de como usarla. *varTypes an optional named character vector giving the DBMSs datatypes to be used for* *some (or all) of the columns if a table is to be

Thanks Matthias I can also use the method intervalIsInOneMBB() from LiveIntervals class to relate a LiveInterval to a MachineBasicBlock, right? Em 04/09/2015 2:26 PM, "Matthias Braun" <mbraun at apple.com> escreveu: > There is no direct support for this, but you can use > LiveIntervalAnalysis::getMBBStartIndex()/getMBBEndIndex()/getMBBFromIndex() > to relate the

Buen dia Javier, muchas gracias por tu ayuda y el script compartido. Me va a servir como ayuda para seguir aprendiendo sobre RODBC pero no encuentro una solucion para este problema puntual de poder definir el tipo y ancho de las variables, q segun creo se hace con el argumento varTypes. Si alguien tien algun ejemplo donde haya usado la SqlSave y VarTypes, me sera de gran ayuda. Abrazo a todos

Hello to all LLVM Developers. The LLVM IR is in strict SSA form (i.e. every variable is defined before it is used along every path from the entry to exit point)? According to the documentation, currently the LLVM IR is in the SSA form, but I don't see additional information about *strict* SSA form. The strict SSA form provide opportunities of optimization in register allocation, because is

Good Afternoon. I am a Computer Science undergraduate student in Brazil and as completion of course work, I am developing an register allocator, using the infrastructure of the LLVM. To accomplish this task, I have based my implementation in allocators already implemented in LLVM. But a question came to me while I was researching in books and articles of compiler theory and own documentation of

Buen dia compañerxs de R, les traigo una pregunta bastante especifica. En el trabajo me estan requiriendo el uso de SQL, asi q estoy aprendiendo a usarlo desde R, con el paquete RODBC. Mi problema puntual es que al crear una tabla en el servidor SQL a partir de un data frame en R (usando la funcion sqlSave) no puedo definir el tipo de variables que quiero usar en el data frame. Segun entiendo

I'm working on my project for completion undergraduate courses, consisting of an experimental analysis of registers allocation algorithms. For this task, I am using the set of tools from the LLVM project. However, I have read the documentation of the LLVM project and not yet found a way to put the pieces of the puzzle together. So far I know: - As passes work as engage them to LLVM and

Hello to all LLVM developers. I'm developing a register allocator using LLVM, my allocator has a local search phase: given a solution (assignment of virtual registers to physical registers or memory) generated in the first phase of the algorithm, some movements are applied to this solution in order to find a better solution. To apply such movements, I need to unassign a virtual register from

I am using pyramid.plot() from the plotrix package. I have something like this ############################################ xy.pop<-dados$masfr xx.pop<-dados$femfr #agelabels<-dados$femlab xycol<-color.gradient(c(0,0,0.5,1),c(0,0,0.5,1),c(1,1,0.5,1),11) xxcol<-color.gradient(c(1,1,0.5,1),c(0.5,0.5,0.5,1),c(0.5,0.5,0.5,1),11) xylab<-dados$maslab xxlab<-dados$femlab

Shalini Raghavan 3M Pharmaceuticals Research Building 270-03-A-10, 3M Center St. Paul, MN 55144 E-mail: sraghavan at mmm.com Tel: 651-736-2575 Fax: 651-733-5096 ----- Forwarded by Shalini Raghavan/US-Corporate/3M/US on 08/16/2004 11:25 AM ----- Shalini

Dear R developers, I have encountered strange behaviour of fitdistr for gamma in recent R build i.e. 2.2.0. I have attached the code for data at the end of this mail so you can reproduce the problem. In short, I am able to run fitdistr under 2.1.0 without problems, while I get the following error under 2.2.0 (Version 2.2.0 Patched (2005-11-15 r36348)) > fitdistr(otm, "gamma") Error

I'm looking for goodness of fit tests for gamma distributions with large data sizes. I have a matrix with around 10,000 data values in it and i have fitted a gamma distribution over a histogram of the data. The problem is testing how well that distribution fits. Chi-squared seems to be used more for discrete distributions and kolmogorov-smirnov seems that large sample sizes make it had to

Hi, I am trying to estiamte parameters for gamma distribution using mle for below data using fitdist & fitdistr functions which are from "fitdistrplus" & "MASS"packages . I am getting errors for both functions. Can someone please let me know how to overcome this issue?? data y1<- c(256656, 76376, 6467673, 46446, 3400, 3100, 5760, 4562, 8000, 512, 4545, 4562,

Hi R-users, I'm not sure what's wrong and how do I check the error? I have 3 sets of data > aug_dt1  [1]  22.8  49.6  77.9  67.6  91.2  48.9 124.6  54.6  85.8  62.8  63.3 174.7  32.3  22.7  99.9 123.2   4.8 149.0  66.0 [20]  73.9  37.4  22.4  69.5  87.3  66.9  87.2  81.5 109.1  47.4  22.8  92.4  60.9  77.5  91.3  91.9  78.2  39.4 107.5 [39]  57.9  65.5  76.0  47.2 145.5  95.9 106.0

Hi there, I have some bird flight height data that follows a gamma distribution. The data (x) goes from 0 to 700 meters (n=1055). The calculated parameters calculated from the fitdistr(x) are (shape = 5.1379, rate = 0.017541), and therefore the scale (1/rate) = 57.00929. I would like to calculate the cumulative density (or proportion of the curve) of the function at x= 50 meters. Is

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: