similar to: subset data based on values in multiple columns

Hello, I'm wondering if someone may be able to help me, and do apologize if there is a simple and obvious solution for this. I am somewhat new to R, and have been searching for a simple solution for a couple of days. I am interested in finding a tool that allows me to plot a stacked bar plot. My data set is in the following format:

Hi -I am using R v 2.13.0. I am trying to use the aggregate function to calculate the percent at length for each Trip_id and CommonName. Here is a small subset of the data. Trip_id Vessel CommonName Length Count 1 230 Sunlight Shad,American 19 1 2 230 Sunlight Shad,American 20 1 3 230 Sunlight Shad,American 21

Dear R users, Could you share your knowledge on following problem: Suppose we have dataframe: ID TIME Data1 Data2 Data3 ........... Data700 1. 2013-01-01 00:00:00 34 53 66 ............ 55 2. 2013-01-01 00:00:01 333 4 5 ............ 50 3. 2013-01-01 00:00:02 and so

Hi there, I have the following problem Four data frames exist: data1 data2 data3 data4 Now I want to write a loop and temporarily store the data1, data2, data3, data4 in a variable called data. I tried the following... for (i in 1:4) { Data <- paste("data",i,sep="") ... .. } but it doesn't function. I think the problem is the definition of the mode of the pasted

Hello R community, I am trying to combine two CSV files that look like this: File A Row_ID_CR, Data1, Data2, Data3 1, aa, bb, cc 2, dd, ee, ff File B Row_ID_N, Src_Row_ID, DataN1 1a, 1, This is comment 1 2a, 1, This is comment 2 3a,

hello, I would like to create the following barplot: I have 4 different data sets (same length + stddev for each data point) data1 sd1 data2 sd2 data3 sd3 data4 sd4 now, I'd like to plot in the following way: data1[1],data2[1],data3[1],data4[1] with it's sd-values side-by-side at one x-axis label (named "position 1") and each bar in different colors.

This patch updates the guestfs_inspect_get_drive_mappings API call to also return drive letters for GPT paritions. Previously this worked only for MBR partitions. This is achieved by matching the GPT partition GUID with the info stored in the blob from HKLM\SYSTEM\MountedDevices\DosDevices keys. For GPT partions this blob contains a "DMIO:ID:" prefix followed by a 16 byte binary GUID.

Hello all, I have a .csv file like below. Tool,Step_Number,Data1,Data2... etc up to 100 columns. A,1,0,1 A,2,3,1 A,3,2,1 . . B,1,3,2 B,2,1,2 B,3,3,2 . . ...... so on upto 50 rows where the column "*Tool*" has distinct steps in second column "*Step_Number*",but both have same entries in Step_Number column. I want the output like below.

Hi All, I'm trying to plot data that is a time series of flows that are associated with a specific level, and I would like each level to represent a colour in a line plot. Here is some data that approximates what I'm using: date=c(1:300) flow=sin(2*pi/53*c(1:300)) levels=c(rep(c("high","med","low"),100)) data=cbind.data.frame(date, flow, levels)

This patch updates the guestfs_inspect_get_drive_mappings API call to also return drive letters for GPT paritions. Previously this worked only for MBR partitions. This is achieved by matching the GPT partition GUID with the info stored in the blob from HKLM\SYSTEM\MountedDevices\DosDevices keys. For GPT partions this blob contains a "DMIO:ID:" prefix followed by a 16 byte binary GUID.

Hi, consider the following two dataframes: x1=c("232","3454","3455","342","13") x2=c("1","1","1","0","0") data1=data.frame(x1,x2) y1=c("232","232","3454","3454","3455","342","13","13","13","13")

Ein eingebundener Text mit undefiniertem Zeichensatz wurde abgetrennt. Name: nicht verf?gbar URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20130121/317d3f7b/attachment.pl>

Thanks for your explanation. Do you mean that LLVM will not maintain the def-use chain for atomic variables? So it is impossible to directly catch the fact that the load of x at the statement 'data1 = x; ' dependents on data4 (because of the statement x=data4 )? If I want to get such information, may be the only solution is to traverse all the predecessors of the statement 'data1 =

Hi everyone, I want to track the def-use chain for atomic variables. However, it seems that LLVM will not generate PHI nodes for atomic variables. I present the generated LLVM bytecode for the next code snippet as follow. I found that it only generated PHI node (*%8 = phi i32 [ %4, %3 ], [ %6, %5 ]*) for non-atomic variable 'data2' but not for atomic variable x? Why? With PHI node

1) When adding additional data sets to a plot using "plot" followed by "lines", is there a way to automate the scaling of the axes to allow for all data sets to fit within the plot area? 2) I attempted to solve this by setting xlim=c(min(c(data1,data2,data3)),max(c(data1,data2,data3))) however, there are some NAs and Infs in these data sets, and min(data1) and max(data1) both

Hi, I'm having terrible difficulties getting Samba to cooperate. I have the following scenario: Samba 2.2.3 set up as a PDC on a linux machine (turing, with the domain set to DEFAULTDOMAIN), working fine with a win2k client. Now I wish to join a Samba 2.2 linux machine was a domain member server (moog), and I can't seem to convince samba to do what I want it to. moog$ is set up on the PDC

Let me try to help. On Thu, Feb 8, 2018 at 12:13 PM, Qiuping Yi via llvm-dev < llvm-dev at lists.llvm.org> wrote: > Thanks for your explanation. > > Do you mean that LLVM will not maintain the def-use chain for atomic > variables? > It is not a variable at the LLVM level. At the source level, it is a variable. At the LLVM IR level, it is lowered into memory operations. All

Hello Admins, We serve printing to XP clients with Samba 3.0.4 and CUPS 1.1.20 I get the following error when trying to issue this command: xprint-admin:/home/suarezry# rpcclient localhost -N -U'username%password' -c 'setdriver oa-e108-e2 oa-e108-e2' result was WERR_ACCESS_DENIED <snip> 000018 spoolss_io_r_open_printer_ex 000018 smb_io_pol_hnd printer handle

Hello List, this should be simple, but cannot figure it out. I am trying to subset a data.frame like this: > data4 users time 1 user5 2009-12-01 14:09:58 2 user1 2009-12-01 14:40:16 3 user8 2009-12-04 08:18:37 4 user6 2009-12-04 08:18:37 5 user83 2009-12-04 08:18:37 6 user82 2009-12-04 08:18:37 7 user31 2009-12-04 08:18:37 8

Hey everyone! I have deployed gluster on 3 nodes with 4 SSDs each and 10Gb Ethernet connection. The storage is configured with 3 gluster volumes, every volume has 12 bricks (4 bricks on every server, 1 per ssd in the server). With the 'features.shard' off option my writing speed (using the 'dd' command) is approximately 250 Mbs and when the feature is on the writing speed is