similar to: help to merge two data frame if name matches

Dear All, I have a data frame like this: name ip Bsent Breceived a 1 0.00 0.00 a 2 1.43 19.83 a 1 0.00 0.00 a 2 1.00 1.00 b 1 0.00 2.00 b 3 0.00 2.00 b 2 2.00 0.00 b 2 2.00 0.00 b 1 24.40 22.72 c

Dear All, I have a data frame with 5 column and 201 row data. I want to add one more column between column 1 and 2 with value of 1. So the new column has to be the second column filled with 1. Any help will be appreciated. Thanks for your time. Thanks & Rg Mohan L

Having a problem with a mailbox. I've been trying to rebuild - but doveadm force-resync crashes. This is mdbox with sis. doveadm purge -u dmiller at amfes.com doveadm(dmiller at amfes.com): Panic: file istream.c: line 466 (i_stream_grow_buffer): assertion failed: (stream->max_buffer_size > 0) doveadm(dmiller at amfes.com): Error: Raw backtrace:

Dear R-users, I recently began using the ggplot2 package and I am still in the process of getting used to it. My goal would be to plot on the same grid a number of curves derived from two distinct datasets. The first dataset (called molten.data) looks like this : Column names : Perc, Week, Weight P10 21 333.3554 P90 21 486.0480 P10 22 452.6347 P90 22 563.8263 P10 23 575.0960 P90

Not paying close attention to detail, I entered the equivalent of pstr<-c("b1=200", "b2=50", "b3=0.3") when what I wanted was pnum<-c(b1=200, b2=50, b3=0.3) There was a list thread in 2010 that shows how to deal with un-named vectors, but the same lapply solution doesn't seem to work here i.e., pnum<-lapply(pstr, as.numeric) or similar vapply

On 2017/11/13 18:53, Juergen Gross wrote: > On 13/11/17 11:06, Quan Xu wrote: >> From: Quan Xu <quan.xu0 at gmail.com> >> >> So far, pv_idle_ops.poll is the only ops for pv_idle. .poll is called >> in idle path which will poll for a while before we enter the real idle >> state. >> >> In virtualization, idle path includes several heavy operations

On 2017/11/13 18:53, Juergen Gross wrote: > On 13/11/17 11:06, Quan Xu wrote: >> From: Quan Xu <quan.xu0 at gmail.com> >> >> So far, pv_idle_ops.poll is the only ops for pv_idle. .poll is called >> in idle path which will poll for a while before we enter the real idle >> state. >> >> In virtualization, idle path includes several heavy operations

This is my a part of my data set > D[1:15,c(1,5:10)] X. media IE.2005 IE.2006 IE.2007 IE.2008 IE.2009 IE.2010 1 1108 22.00000 60.0 39 4.0 8.0 16.0 5.0 2 1479 110.00000 NA NA 53.0 1166.0 344.8 110.0 3 1591 86.60000 247.0 87 95.0 94.0 81.0 76.0 4 3408 807.00000 302.0 322 621.0 1071.0 1301.0 1225.0

> On 30.06.2016 19:41, Erwan Velu via Syslinux wrote: > > The exisiting label= option offer to boot on a gpt partition that have > > a particular label. > > The existing guuid= option offer to boot on a disk or partition with a > > particular label. > > > > This new option offer to boot the disk that have a partition which > > have a given label. >

Hii, I will create boxplots from matrices. I have the following data sets: 5.0 1.78 2.99 2.019 0 10.0 1.79 3.00 1.744 0 15.0 1.78 2.98 1.936 0 20.0 1.78 2.99 1.975 0 25.0 1.73 2.91 3.591 0 30.0 1.79 3.00 1.966 0 35.0 1.79 3.00 2.451 0 40.0 1.79 3.00

Dear R community, I am still new to R, but I am attempting to use it for (hopefully) all my plotting needs. I have been using lattice and Hmisc for most plots so far successfully, but I need help creating a plot I desire for some new data I have. This data frame consists of the same type of measurement (Eh) for 27 different locations. I have 8000+ measurements for each location, and my

On 2017/11/14 15:12, Wanpeng Li wrote: > 2017-11-14 15:02 GMT+08:00 Quan Xu <quan.xu0 at gmail.com>: >> >> On 2017/11/13 18:53, Juergen Gross wrote: >>> On 13/11/17 11:06, Quan Xu wrote: >>>> From: Quan Xu <quan.xu0 at gmail.com> >>>> >>>> So far, pv_idle_ops.poll is the only ops for pv_idle. .poll is called >>>>

On 2017/11/14 15:12, Wanpeng Li wrote: > 2017-11-14 15:02 GMT+08:00 Quan Xu <quan.xu0 at gmail.com>: >> >> On 2017/11/13 18:53, Juergen Gross wrote: >>> On 13/11/17 11:06, Quan Xu wrote: >>>> From: Quan Xu <quan.xu0 at gmail.com> >>>> >>>> So far, pv_idle_ops.poll is the only ops for pv_idle. .poll is called >>>>

On 2017/11/14 15:30, Juergen Gross wrote: > On 14/11/17 08:02, Quan Xu wrote: >> >> On 2017/11/13 18:53, Juergen Gross wrote: >>> On 13/11/17 11:06, Quan Xu wrote: >>>> From: Quan Xu <quan.xu0 at gmail.com> >>>> >>>> So far, pv_idle_ops.poll is the only ops for pv_idle. .poll is called >>>> in idle path which will poll

On 2017/11/14 15:30, Juergen Gross wrote: > On 14/11/17 08:02, Quan Xu wrote: >> >> On 2017/11/13 18:53, Juergen Gross wrote: >>> On 13/11/17 11:06, Quan Xu wrote: >>>> From: Quan Xu <quan.xu0 at gmail.com> >>>> >>>> So far, pv_idle_ops.poll is the only ops for pv_idle. .poll is called >>>> in idle path which will poll

dear R wizards:? I am wrestling with reshape.? I have a long data set that I want to convert into a wide data set, in which rows are firms and columns are years. > summary(rin) firm fyear sim1 Min. :1004.00 Min. :1964.0 Min. : -1.00000 1st Qu.:1010.00 1st Qu.:1979.0 1st Qu.: -0.14334 Median :1016.00 Median :1986.0 Median : 0.00116 Mean

Dear R-users, I would like to know how could I read a file with different lines lengths. I need read this file and create an output to feed my database. So after reading I'll need create an output like this "INSERT INTO TEMP (DATA,STATION,VAR1,VAR2) VALUES (20100910,837460, 39,390)" I mean, each line should be read. But I don`t how to do this when these lines have different

The exisiting label= option offer to boot on a gpt partition that have a particular label. The existing guuid= option offer to boot on a disk or partition with a particular label. This new option offer to boot the disk that have a partition which have a given label. The label is so just a way to detect a disk to boot. A typical use is for making an intelligent localboot like : label

I have a set of data in the form x1, y1, z1 x1, y2, z2 ... x1, yN, zN x2, y1, z(N+1) x2, y2, z(N+2) ... x2, yN, z(2N) ...and so on... xM, yN, val(M*N) I have been trying to figure out how to get R to use this data in a persp plot. So far the only thing that I can figure out to do is to break the data file into three different files. The first file contains the x-coordinate data: x1 x2

Hi, We are using open source license of R to analyze data at our organization. The system configuration are as follows: * System configuration: o Operating System - Windows 7 Enterprise SP1, 64 bit (Desktop) o RAM - 8 GB o Processor - i5-6500 @ 3.2 Ghz * R Version: o R Studio 1.0.136 o R 3.4.0 While trying to merge two datasets we received the following resource