search for: dummying

Hi, I want to make use of some C routines from other packages to write extensions in C. In "Writing R Extensions", it says there is an experimental interface to support this in (or from ?) R 2.4.0. I had a dummy library containing src/dummy.cpp and R/zzz.R: ====== src/dummy.cpp ==== #include <R.h> #include <Rinternals.h> #include <R_ext/Rdynload.h>

On 06/26/17 14:42, Timo Sirainen wrote: > On 26 Jun 2017, at 23.19, Marc Perkel <marc at perkel.com> wrote: >> Ever since 2.26 I haven't been able to upgrade. In fact the install locks up my server. >> >> I get into and infinite recursive loop where the config-guess program calls itself until the server locks up from overload. >> >> I'm running Centos

Dear R-project! How do i create 1 dummy from 2 already existing dummys. To be more precise, I want to create a dummy from a dummy called "sex" and another called "sex1" when both thoose dummys are 1 I want my created dummy "samesex" to take 1. Thanks for the help! Paulie [[alternative HTML version deleted]]

Hi everyone, I've got a dataset with 12,000 observations. One of the variables (cleary$D1) is for an individual's country, coded 1 - 15. I'd like to create a dummy variable for the Baltic states which are coded 4,6, and 7. In other words, as a dummy variable Baltic states would be coded 1, else 0. I've attempted the following for loop: dummy <- matrix(NA, nrow=nrow(cleary),

Hi, Try this: which(duplicated(res10Percent)) # [1] 117 125 157 189 213 235 267 275 278 293 301 327 331 335 339 367 369 371 379 #[20] 413 415 417 441 459 461 477 479 505 res10PercentSub1<-subset(res10Percent[which(duplicated(res10Percent)),],dummy==1)? #most of the duplicated are dummy==1 res10PercentSub0<-subset(res10Percent[which(duplicated(res10Percent)),],dummy==0)

Hi There, While looking through the mailing list archive, I did not come across a simple minded example regarding the creation of dummy variables. The Gauss language provides the command "y = dummydn(x,v,p)" for creating dummy variables. Here: x = Nx1 vector of data to be broken up into dummy variables. v = Kx1 vector specifying the K-1 breakpoints p = positive integer in the range

Hello all, hoping someone can help me out here. I cannot get dummy interfaces on a new Cent8 build to persist across reboots. On Cent7 - this is the process I use: Create Dummies: # cat /etc/modules-load.d/dummy.conf dummy # cat /etc/modprobe.d/dummyopts.conf options dummy numdummies=4 # ip link add dummy0 type dummy ## - repeating a/ ascending dummyN adapters for as many needed # service

They are empty sources used to build OCaml-only targets using automake, so there is no documentation to extract. --- Makefile.am | 1 + docs/C_SOURCE_FILES | 13 ------------- 2 files changed, 1 insertion(+), 13 deletions(-) diff --git a/Makefile.am b/Makefile.am index d3cf64cc1..ec342225a 100644 --- a/Makefile.am +++ b/Makefile.am @@ -320,6 +320,7 @@ docs/C_SOURCE_FILES: configure.ac

Hi again, On 5/22/23 18:31, Willcox David via Nut-upsuser wrote: > Hmm. Is there maybe something there already that will do this? Maybe > kind of back-handed. > > In drivers/dstate.c, I see: > > 1. In status_init(), if ?driver.flag.ignorelb? is set in the driver > state, the ?ignorelb? flag is set. > 2. In status_set(), if ignorelb is set, and the status being set

I was given a list of parameter estimates from my boss. She wants to predict the dependent variable "fsshen" beyond jan 2011, the last observation, through December 2011, giving the prediction intervals (90%). I don't know if I have the complete information to do this. So my question(s) is can R determine a prediction interval from this data with just these parameter estimates.

Dear all, I would like to ask one question related to statistics, for specifically on defining dummy variables. As of now, I have come across 3 different kind of dummy variables (assuming I am working with Seasonal dummy, and number of season is 4): > dummy1 <- diag(4) > for(i in 1:3) dummy1 <- rbind(dummy1, diag(4)) > dummy1 <- dummy1[,-4] > > dummy2 <- dummy1 >

Anyone have any ideas? It's rather annoying that I can't get these to persist across reboots without using some kind of helper script. On Fri, Oct 16, 2020 at 6:37 AM Frank Even <lists+centos.org at elitists.org> wrote: > > Hello all, hoping someone can help me out here. > > I cannot get dummy interfaces on a new Cent8 build to persist across reboots. > > On Cent7

I R-helpers #I have a data panel of thousands of firms, by year and industry and #one dummy variable that separates the firms in two categories: 1 if the firm have an auditor; 0 if not #and another variable the represents the firm dimension (total assets in thousand of euros) #I need to create two separated samples with the same number os firms where #one firm in the first have a corresponding

The first and third patches are cleaned up versions of an earlier v3 submission by Yang. 1: Nested VMX: check VMX capability before read VMX related MSRs 2: VMX: clean up capability checks 3: Nested VMX: fix IA32_VMX_CR4_FIXED1 msr emulation 4: x86: make hvm_cpuid() tolerate NULL pointers Signed-off-by: Jan Beulich <jbeulich@suse.com>

Hi - I'm running R 1.3.0 on i686-pc-linux-gnu > rm(x, y, z) > df <- data.frame(x=1:20,y=1:20,z=factor(1:20 <= 10)) dummy.coef falls over: > dummy.coef.lm(lm(y ~ z * poly(x,1), data=df)) Error in poly(x, 1): Object "x" not found > dummy.coef.lm(lm(y ~ z * I(x), data=df)) Error in unique(c("AsIs", class(x))): Object "x" not found but

I have a data frame of around 4500 rows which contain file name prefixes and other interesting variables. each prefix corresponds to multiple files and a I only have 4300 complete sets of files. If any one of the files is missing for a given prefix, then the function I use fails. The effect is emulated by the function "f" and data "dummy.data": f <- function(x) if(runif(1)

Dear useRs, I'm struggling with the new version of ggplot2. In the previous version I did something like this. But now this yield an error (object "fill" not found). library(ggplot2) dummy <- data.frame(x = rep(1:10, 4), group = gl(4, 10)) dummy$y <- dummy$x * rnorm(4)[dummy$group] + 5 * rnorm(4)[dummy$group] dummy$min <- dummy$y - 5 dummy$max <- dummy$y + 5 ggplot(data

Have you tried to use NetworkManager ? After all ,anything network related should be done by it. [root at system ~]# nmcli connection add con-name dummy0 ifname dummy0 type dummy ? Connection 'dummy0' (9fdd74fa-c143-4991-9bac-0e542704ac89) successfully added. [root at system ~]# reboot Shared connection to glustera closed. [root at system ~]# uptime 03:23:44 up 0 min, ?1 user, ?load

<http://localhost:3000/hello/world> gives: "Unknown action No action responded to world" I''m following along with <http://wiki.rubyonrails.org/rails/pages/ Tutorial> and what stands out are statements like: "Now take a look at app/controllers/hello_controller.rb." Which doesn''t exist for me, I had to create multiple directories. I

Hi I just would like to know, When I have a dataframe, like this one called 'dummy' And I attach it. Then I run my code. I then update the dataframe by making changes and I still call it 'dummy'. I run my code again. Now dummy is at position 1 and position 2 of the search path and if I run the code again, with another version of 'dummy' it updates and eventually my search