similar to: Classifying values by interval

hi, I have a hard time figuring this out, the kernel says: ... ix0: <Intel(R) PRO/10GbE PCI-Express Network Driver, Version - 2.5.15> port 0xecc0-0xecdf mem 0xd9e80000-0xd9efffff,0xd9ff8000-0xd9ffbfff irq 40 at device 0.0 on pci4 ix0: Using MSIX interrupts with 9 vectors ix0: Ethernet address: 90:e2:ba:29:c0:54 ix0: PCI Express Bus: Speed 5.0GT/s Width x8 ix1: <Intel(R) PRO/10GbE

Hello, I have a data file that I want to run loess on for 36 columns, divide the original data by the new data, then dividing columns that end in A and B by those that end in C. However, I have something wrong in my first step and am completely stuck on the third. Could someone help me please? Here's a snippet of the data file: Order Target GC AA_001_A AA_001_B AA_001_C 1 a 0.584507042

I want to change the type to factor of all variables in a data frame whose names match a certain pattern. So here I am trying to change the type to factor of all variables whose name begins with?namestub?in the dataframe?df. attach(df)sapply(grep(glob2rx("namestub*"),names(df)),as.factor) But this doesn't work since >levels(df$namestub1)NULL

TBAA Question. Please consider the following test case. ---Snip-- struct B { int b1; int b2; }; struct C { int b1; }; struct A { int a1; struct C SC; int a2; }; int foo1(struct A * Aptr, struct B* Bptr) { int *a = &Aptr->SC.b1; *a=10; Bptr->b1 = 11; return *a; } int foo2(struct A * Aptr, struct B* Bptr) { Aptr->SC.b1=10; Bptr->b1 = 11; return

Is there an element-by-element multiplication in R, like the .* operator in Matlab? eg: A (2x3) B (2x3) C=A.*B C (2x3) C = [[a11*b11 a12*b12 a13*b13]; [a21*b21 a22*b22 a23*b23]] I can't find one... Thanks -Mike Gates

*Hi @ all, I have a question concerning the possibilty of grouping the columns of a matrix. R groups the columns alphabetically. What can I do to group the columns in my specifications? The script is the following:* > #R-Skript: Anzahl xyz > > #Quelldatei einlesen > b<-read.csv2("Z:/int/xyz.csv", header=TRUE) > > #Teilmengen f?r die Einzeljahre generieren >

Dear all: I'm trying to fit the optimal Box-Cox transformation related to nls (see the code below) for the demand of money data in Green (3th Edition) but in the last step R gives the next error message. Error en `[.data.frame`(eval(object$data), , as.character(formula(object)[[2]])[2]) : undefined columns selected. ?Any idea to solve the problem? Thanks in advance,

HI, Dear R community, I have a large data set names dd.txt, the columns are: there are 2402 variables. a1, b1, ..z1, a11, b11, ...z11, a111, b111, ..z111.. IF I dont know the relative position of the columns, but I know I need the following variables: var<-c(a1, c1,a11,b11,f111) Can I use read.columns to read the data into R? I have tried the following codes, but it does not work

Hello! I having a problem with the permissions of some of my logfiles. It seems that when the files are rotated, the user/group is root root and the permissions are rw for root only. more info hereunder: The strange thing is that sometimes it works for one file... /var/log/cisco_acl.log /var/log/cisco_debug.log { rotate 1 notifempty #daily size 1k create 0640 root noc

Hi All I am having 2 very long character strings (550chars) and I want to put them as expressions together with c(). The problem is that I also get these double-quotes, as seen below in 'fct'. How can I remove these double-quotes? I tried as.name() but it did not work (because of size?). These are creating trouble with subsequent programs, which I tested with strings that for some

Dear R experts, I am having difficulty using loops productively and would like to please ask for advice. I have a dataframe of ids and groups. I would like to break down the dataframe into groups, find the unique sets of ids, then reassemble. My thought was to use a loop, but I have been unable to finish this loop in a logical way. I would like to find the unique ids for group 1, group 2,

Hi, I have a function of the second grade, with 2 parameters: y~A^2 + A + B^2 + B The response y is a measurement for the precision of the analytical method, where A en B are method parameters. As its neccesary to keep the precision of the analytical methad as good as possible, its usefull to optimize A en B to keep y as low as possible. But how can I do this with R? I have searched the

Hello, I?m having some weird problems while coping large files (> 1GB) to a GlusterFS through a Fuse client. When the copy is done using the cp command everything is fine, but if I use a Java program, the GlusterFS Fuse hangs. The kern.log shows timeout for the Java program and the Fuse client. Anyone have experienced this behavior? Test environment: Ubuntu 16.04.2 LTS (GNU/Linux

Hi, Is there any package that I can use to simulate the Gaussian Mixture Model , which is a mixture modeling method that is widely used in statistical learning theory. I know there is a mclust, however, I think it is a little bit different from my problem. Thanks very much.. regards. -------------------------- Peng Jiang ?? Ph.D. Candidate Antai College of Economics &

Hi, my data set is data.frame(id, yr, y, l, e, k). I would like to estimate Lee and Schmidts (1993, OUP) model in R. My colleague wrote SAS code as follows: ** procedures for creating dummy variables are omitted ** ** di# and dt# are dummy variables for industry and time ** data a2; merge a1 a2 a; by id yr; proc sysnlin maxit=100 outest=beta2; endogenous y; exogenous l e k

Dear helpers, I wrote a code which estimates a multi-equation model with generalized least squares (GLS). I can use GLS because I know the covariance matrix of the residuals a priori. However, it is a bit slow and I wonder if anybody would be able to point out a way to make it faster (it is part of a bigger code and needs to run several times). Any suggestion would be greatly appreciated. Carlo

Dear R buddies, This weekend I became interested in solving Google Code Jam problems using R. I guess R may work very well in this kind of contests but the input of file has been a problem for me. Take this case for example (http://code.google.com/codejam/contest/dashboard?c=agdjb2RlamFtchALEghjb250ZXN0cxjRzBQM), the files are usually of the form: A(number of lines for group 1) a11 a12 a13 a21

Dear R listers, I know I'm breaking the rules by asking a "homework" related question-- I hope you'll forgive me. I am a social psychology graduate student, and the only one in my department who uses R. I successfully completed my multiple regression and structural equation modeling courses using R (John Fox's car and sem packages were a big help, as was his book).

Hi R users, I have a couple of questions about some problems that I am facing with regard to numerical integration and optimization of likelihood functions. Let me provide a little background information: I am trying to do maximum likelihood estimation of an econometric model that I have developed recently. I estimate the parameters of the model using the monthly US unemployment rate series

I am trying to code the following excel formula in R. a b c Result Formula 1 10 0.1 #N/A IF(B2<20,NA(),C2+IF(ISERROR(D1),0,D1)) 2 20 0.2 0.2 IF(B3<20,NA(),C3+IF(ISERROR(D2),0,D2)) 3 30 0.3 0.5 IF(B4<20,NA(),C4+IF(ISERROR(D3),0,D3)) 4 40