similar to: Intersection

Hello. I have for example 4 or more dataframe which like such this example: date value 2006-11 0.4577647 2006-12 NaN 2006-10 0.1577647 2006-11 0.3577647 2006-12 NaN 2007-01 NaN 2007-02 NaN 2007-03 0.2956429 2007-01 0.3677647 2007-02 NaN They have the same length. I need merge by date undefined number of dataframes. End result output will look like

Hello I have dataframe 101 2008-07 0.2898966 102 2008-08 0.3101667 103 2008-09 0.3730476 104 2008-10 0.2717037 105 2008-11 0.1344286 106 2008-12 0.1375000 107 2009-01 0.1781000 108 2009-02 0.2146667 109 2009-03 0.2808235 110 2009-04 0.4326250 111 2009-05 0.3420741 112 2009-06 0.2675238 113 2009-07 0.2478667 114 2009-08 0.3147000 115 2009-09 0.3437826 116 2009-10 0.2057391 117 2009-11 0.1824737 118

Hello I have dataframe How to remove dates in hourly time seriesThe example time series likedate value 2000-01-05 00:00:00 1.0 2000-01-05 01:00:00 1.0 2000-01-05 05:00:00 3.6 2000-01-05 06:00:00 3.6 2000-01-05 07:00:00 2.2 2000-01-05 08:00:00 2.2 2000-01-05 09:00:00 2.2 2000-01-05 10:00:00

Hello, I have the starting date in UNIX_TIME LONG number (number of milliseconds since 1970 jan 1st). Is there a way to generete the sequence of dates with monthly interval in POSIXct format like 2000-01-01 2000-02-01 2000-03-01 etc Thanks [[alternative HTML version deleted]]

Hello I have dataframes. mydata1 <-data.frame(value=c(15,20,25,30,45,50),dates=c("2005-05-25 07:00:00 ","2005-05-25 19:00:00","2005-06-25 07:00:00","2005-06-25 19:00:00 ","2005-07-25 07:00:00","2005-8-25 19:00:00")) or mydata2 <-data.frame(value=c(15,20,25,30,45,50),dates=c("2005-05-25 00:00:00 ","2005-05-25

Hello, I need plot map using ggplot() I use such code: library("ggplot2") library(cshapes) cshp.data <- cshp() map <- cshp.data[cshp.data$COWCODE==369,] map_mp<- list( geom_polygon(aes(long, lat, group = group), data = map, fill = "grey70", colour = "grey60", inherit.aes = FALSE, show_guide = FALSE), scale_x_continuous("",

I have two dataframes C and C1. Each has three columns viz. state, psu and weight. The dataframes are of unequal size i.e. C1 could be 2/25/50 rows and C has 42000 rows. C1 is the master table i.e. C1$state, C1$psu and C1$weight are never the same. ThisA. P., Urban, 0 is not so for C. For example C state, psu,weight A. P., Urban, 0 Mah., Rural, 0 W.B., Rural,0 Ass., Rural,0 M. P., Urban,0 A. P.,

Hi, Could you please advice some easy way to do the following for a dataframe (header=F) having unequal column- & row- length. 1. Combine/stack/join contents from - a) multiple rows into one column. b) multiple columns into one row. 2. Stack contents from multiple columns (or, rows) into one column (or, row). Thank you. Cheers, Santana [[alternative HTML

HI, You may try this: dat1<- read.table(text=" CustID TripDate Store Bread Butter Milk Eggs 1 2-Jan-12 a 2 0 2 1 1 6-Jan-12 c 0 3 3 0 1 9-Jan-12 a 3 3 0 0 1 31-Mar-13 a 3 0 0 0 2 31-Aug-12 a 0 3 3 0 2 24-Sep-12 a 3 3 0 0 2 25-Sep-12 b 3 0 0 0 ",sep="",header=TRUE,stringsAsFactors=FALSE) dat2<- dat1[,-c(1:3)] res<- lapply(seq_len(ncol(dat2)),function(i)

Hi R users I am trying to find unmatched data from two dataframes. I would like to find unmatched data based on several factors. For the following data: dat1 <- data.frame(x = paste("A", 1:6, sep=""), y = c("andy","bob","ciaran","dan", "eion", "fred")) dat1 dat2

Hello, Does anyone know if the below patch for libvirt 1.2.4 has been integrated into the libvirt 1.2.6 source code? http://www.redhat.com/archives/libvir-list/2014-May/msg00509.html https://github.com/vikhyath/libvirt-hyperv-r2-2012 Thank you! Evgeny

Hello :) I have two data frames, one has properties taken on a piece by piece basis and the other has performance on a lot by lot basis. I wish to combine these two data frames but the problem is that each lot has multiple pieces and hence i need to take a mean of the properties of multiple pieces and match it to the row having data about the lot. I was wondering if there is a simple commmand,

Dear useRs, i have vectors of about 27 descriptors, each having 703 elements. what i want to do is the following 1. i want to do regression analysis of these 27 vectors individually, against a dependent vector, say B, having same number of elements.2. i would like to know best 10 regression results, if i do regression analysis of dependent vector against the random combination of any 4

Hi, I have an DNAT ISSUE with PREROUTING. This is my setup. I have 2 firewalls running iptables. Pls asume 1.2.3.4/29 is the internet interace of FIRST firewall. 2.3.4.5/29 is the internet interface of SECOND firewall. it has DMZ zone. in that DMZ zone, mail server runnig @ 192.168.100.3 Now I want to DNAT port 25 of FISRT firewall ( i.e - its ip address - 1.2.3.4/29) to the internet ip

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Hello I'm trying to compile LLVM, Clang and LLDB on Ubuntu 14.04 LTS as described on llvm.org [1][2]: ``` sudo apt-get install subversion cmake ninja-build doxygen \ swig libedit-dev libncurses5-dev libxml2-dev mkdir llvm-src cd llvm-src svn co http://llvm.org/svn/llvm-project/llvm/trunk llvm cd llvm/tools svn co http://llvm.org/svn/llvm-project/cfe/trunk clang svn co

> Try checking out libcxxabi as well. It helped, thanks. But I have another problem now. Regression tests don't pass: http://paste.ubuntu.com/15406485/ Also I discovered that build process sometimes consumes about 10 Gb of RAM. Luckily I have total 16 Gb of RAM. Still I had to close Google Chrome and kill KVM guest systems to compile a project. I think its just an insanity. -- Best

Dear R users, I came up to a problem dealing with percentiles in R. >From my previous questions: I do have a big data.frame, with lots of columns and rows. The following command enables me to calculate means for all data frame. dat1$newID<-rep(1:(nrow(dat1)/12),each=12) #if nrow(dat1)/12 is integer dat2<-with(dat1,aggregate(cbind(dat1[,1:71]),by=list(newID),mean)) What I need is to

I'm a bit of an amateur R programmer. I can do simple R scenarios but my handle on complex grammatical issues isn't steady. I have 12 CSV files that I've read into dataframes. Each has 8 columns and over 2000000 rows. Each dataframe has data associated by time component and a date component in the format of: X.DATE and then X.TIME X.DATE is in the format of MMDDYYYY and X.TIME is

Hey All, I have a dataset(dat1) like this: ObsNumber ID Weight 1 0001 12 2 0001 13 3 0001 14 4 0002 16 5 0002 17 And another dataset(dat2) like this: ID Height 0001 3.2 0001 2.6 0001