similar to: How to use the paste function to create an already used variable

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.

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

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.

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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

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

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

hi, is it possible log cel/queue_log to sqlite? via odbc? any experience? marek

On Thu, Oct 20, 2016 at 4:50 AM, marek cervenka <cervajs2 at gmail.com> wrote: > i tested this > > # cat /etc/asterisk/extconfig.conf > [settings] > queue_log => sqlite3,cdrDb > > # cat /etc/asterisk/res_config_sqlite3.conf > [cdrDb] > dbfile = /var/lib/asterisk/realtime.sqlite3 > > sqlite3 /var/lib/asterisk/realtime.sqlite3 > > CREATE TABLE

Hi there, I have a question on how to read a bunch of dataset, assign each of the dataset to a matrix in the memory, and append them. Suppose I have 20 dataset saved to different .rda files named gradeFileData1, gradeFileData2,...., gradeFileData20. And I would like to read them each into a dataset in the memory, then combine them. I wrote something like: e1<-new.env(parent=.GlobalEnv)

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 =

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,

Using R 2.6.2, say I have the following list of lists, "comb": data1 <- list(a = 1, b = 2, c = 3) data2 <- list(a = 4, b = 5, c = 6) data3 <- list(a = 3, b = 6, c = 9) comb <- list(data1 = data1, data2 = data2, data3 = data3) So that all names for the lowest level list are common. How can I most efficiently access all of the sublist items "a" indexed by the outer

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

Dear Daniel Berlin, I just tried MemorySSA analysis and get the next IR. However, I feel confused by the result. Specifically, why instruction *%3* relates to a *MemoryDef*. According to my understanding, I think *%3* should be related to a *MemoryUse*, right? ; Function Attrs: uwtable define void @_Z2f1v() #3 personality i32 (...)* @__gxx_personality_v0 { entry: ; 1 = MemoryDef(liveOnEntry)

I am running samba 2.2.6 and cups 1.1.16. I can't get cupsaddsmb to complete successfully. I'm at an end here, I can't think of anything else to try after 2 weeks of searching the web. It copies the drivers to the print$ share directory, however the SetPrinter command fails on the rpcclient command and it returns with an NT_STATUS_UNSUCCESSFUL error. At the SetPrinter failure, it

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)

#I have a data frame with a numeric and a character variable. x=c(1,2,3,2,0,2,-1,-2,-4) md=c(rep("Miller",3), rep("Richard",3),rep("Smith",3)) data1=data.frame(x,md) #I subset this data.frame in a way such that one level of the character variable does not appear in the new dataset. data2=data1[x>0,] data3=subset(data1,x>0) #However, when I check the levels

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