similar to: Nagios Monitoring with xentop

On 2019/7/20 0:13, Michael S. Tsirkin wrote: > On Fri, Jul 19, 2019 at 03:31:29PM +0000, ? jiang wrote: >> On 2019/7/19 22:29, Jiang wrote: >>> On 2019/7/19 10:36, Jason Wang wrote: >>>> On 2019/7/18 ??10:43, Michael S. Tsirkin wrote: >>>>> On Thu, Jul 18, 2019 at 10:42:47AM -0400, Michael S. Tsirkin wrote: >>>>>> On Thu, Jul 18, 2019

On 2019/7/20 0:13, Michael S. Tsirkin wrote: > On Fri, Jul 19, 2019 at 03:31:29PM +0000, ? jiang wrote: >> On 2019/7/19 22:29, Jiang wrote: >>> On 2019/7/19 10:36, Jason Wang wrote: >>>> On 2019/7/18 ??10:43, Michael S. Tsirkin wrote: >>>>> On Thu, Jul 18, 2019 at 10:42:47AM -0400, Michael S. Tsirkin wrote: >>>>>> On Thu, Jul 18, 2019

On Thu, Jul 18, 2019 at 10:42:47AM -0400, Michael S. Tsirkin wrote: > On Thu, Jul 18, 2019 at 10:01:05PM +0800, Jason Wang wrote: > > > > On 2019/7/18 ??9:04, Michael S. Tsirkin wrote: > > > On Thu, Jul 18, 2019 at 12:55:50PM +0000, ? jiang wrote: > > > > This change makes ring buffer reclaim threshold num_free configurable > > > > for better

On Thu, Jul 18, 2019 at 10:42:47AM -0400, Michael S. Tsirkin wrote: > On Thu, Jul 18, 2019 at 10:01:05PM +0800, Jason Wang wrote: > > > > On 2019/7/18 ??9:04, Michael S. Tsirkin wrote: > > > On Thu, Jul 18, 2019 at 12:55:50PM +0000, ? jiang wrote: > > > > This change makes ring buffer reclaim threshold num_free configurable > > > > for better

On 2019/7/19 22:29, Jiang wrote: > > On 2019/7/19 10:36, Jason Wang wrote: >> >> On 2019/7/18 ??10:43, Michael S. Tsirkin wrote: >>> On Thu, Jul 18, 2019 at 10:42:47AM -0400, Michael S. Tsirkin wrote: >>>> On Thu, Jul 18, 2019 at 10:01:05PM +0800, Jason Wang wrote: >>>>> On 2019/7/18 ??9:04, Michael S. Tsirkin wrote: >>>>>> On

Dear R Helpers, I have a list that contains a number of objects, each of them financial statement data from quantmod (although I don't think that knowledge of quantmod is necessary to help with this problem). > str(listfinobj) chr [1:4815] "A.f" "AA.f" "AACC.f" "AAME.f" "AAN.f" "AAON.f" "AAP.f" "AAPL.f"

Hi How would I analyse time series with - different lengths (i.e. one has 9 entries and the other has 14 entries) - different frequency (i.e. dates are random - no repeated length) - multiple values for the same time entry (e.g. 2009-10-23 below) i.e. my data takes the form: 1st time series 2009-10-07 0.009378 2009-10-19 0.014790 2009-10-23 -0.005946 2009-10-23 0.009096 2009-11-08 0.004189

Hey all, I am trying to use the survreg function in R to estimate the mean and standard deviation to come up with the MLE of alpha and lambda for the weibull distribution. I am doing the following: times<-c(10,13,18,19,23,30,36,38,54,56,59,75,93,97,104,107,107,107) censor<-c(1,0,0,1,0,1,1,0,0,0,1,1,1,1,0,1,0,0) survreg(Surv(times,censor),dist='weibull') and I get the following

R-gurus... I've got a 5 column dataframe where I'd like to plot each ID's "b" against "c" with "b" in ascending order (within the same ID). How do I sort "b" so that the other variables are altered equally? ID a b c d 101 1 240 26.7 21.85 101 2 335 21.8 21.85 101 3 1387 26.6 21.85 101 4 877 24.1 21.85

Hello I have 4 NT server : so 4 NT Domain and 1 Linux Box with samba 1.9.18p4-50.4 in smb.conf, I configure netbios aliases = TEST1 TEST2 TEST3 TEST4 sercurity = server include = /etc/samba/server.%L ... and in /etc/samba/server.TEST1 password server = NTSERV1 and in /etc/samba/server.TEST2 password server = NTSERV2 but when I read the nmbd and smbd logs , %L is replaced by a null string

Hi Jeff, Thank you for the suggestions -- I appreciate your help. Unfortunately, the result2 has two problems... (1) there are now 3 date columns (it looks like 2 cols are merged into 1 col) (2) the output rows should not have any of the basistime dates repeated (maybe I misstated the problem); I need the max fcst value by basistime, but also list the date value for that row; for example:

I had expected that the default bitrate for the encoder would be the same as setting it to OPUS_AUTO, but I'm getting difference results: >opusenc --comp 4 sample.wav sample.opus Encoding using libopus 1.3-rc2 (audio) ----------------------------------------------------- Input: 8 kHz, 1 channel Output: 1 channel (1 uncoupled) 20ms packets, 25 kbit/s VBR Preskip: 312

Hello all! I've been struggling with is for many hours today; I'm close to getting what I want, but not close enough... I have a dataframe consisting of two date-time columns followed by two numeric columns. what I need is the max value (in the first numeric column) based on the 2nd date-time column, which is essentially a factor. But, I want the result to provide both date-time values

Hi - I am not R expert and I would appreciate your time if you can help me about my xyplot question. I would like to add text (p-value) in a 4 panels xyplot. I thought panel = function{} should work but I am not sure where I did it wrong. The error message from the following code is "Argument subscripts is missing with no default values" xyplot(GLG ~ PD | factor(TRT) , groups =

Dear all, can somebody please help me how to calculate "McFadden R-square" for a LOGIT model? Corresponding definition can be found here: http://publib.boulder.ibm.com/infocenter/spssstat/v20r0m0/index.jsp?topic=%2Fcom.ibm.spss.statistics.help%2Falg_plum_statistics_rsq_mcfadden.htm Here is my data: Data <- structure(c(1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1,

I want to make such plot using the following data set plot Mean with Sd(+/-) by Dim group by Lac here is data Does anyone know how to plot using xyploy Thanks, Aimin Mean Sd Var Min Max Dim Lac 704 44.00000 NA NA 44.0 44.0 -30 3 703 45.92000 9.5484030 91.1720000 60.0 34.4 -30 4 702 57.40000 NA NA 57.4 57.4 -30

Dear useRs, i want to split a matrix having 1116rows and 12 columns. i want to split that matrix into 36 small matrices each having 12 columns and 31 rows. The big matrix should be splitted row wise. which means that the first small matrix should copy values which are in first 31 rows and 12 columns of the big matrix. similarly 2nd small matrix should contain values from 32nd to 63rd row of the

On Thu, 26 Oct 2017, Thomas Adams wrote: > Hi Jeff, > > Thank you for the suggestions -- I appreciate your help. Unfortunately, the > result2 has two problems... > > (1) there are now 3 date columns (it looks like 2 cols are merged into 1 > col) No, there are two date columns. Result2 includes the grouping value as a row name (pulled from the names of the dta2list items

Thanks for the dput... #### reproducible example of split-apply-combine ### dta <- structure(list(date = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L), .Label = c("2012-01-25 18:00:00",

Hello R-helpers I hope that my subject line is not detering anyone from helping me out:) I have been stuck of a few hours now, and I don't seem to pinpoint where the problem is. I have a data.frame which is structured as follow: str(hDatPretty) 'data.frame': 1665 obs. of ?8 variables: $ time ? ?: num ?0 1.02 2.05 3.07 4.09 ... $ hr ? ? ?: num ?62.4 63.6 64.6 65.5 66.2 ... $ emg ? ?