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Dear R Users, Could you please help me on the following issue? I have a real large yearly data set. For each year I have 365 flow values. Some of the flow values are not known and that’s why you will see NA written in those slots. I wanted to know, is there a way that I can estimate those values? I tried approx command but it seems least helpful for the kind of issue I am up against.

Dear arun and all R users, I will first of all try to simply define my issue.. I have data in the following format Year Discharge dd/mm/yyyy x .. … … … There are some NA values in the discharge which I would like to predict by using “predict command”. I cant figure out the way to write the coding for that. Could you please help me on that??? I have also ,written

Dear all, I would like to convert the first column of a dataframe to a date (original format: year (4 digits) and month (last 2 digits)) >str(dat_FF) 'data.frame': 1022 obs. of 4 variables: $ date : int 192607 192608 192609 192610 192611 192612 192701 192702 192703 192704 ... $ Rm.Rf: num 2.69 2.52 0 -3.06 2.42 2.66 0 4.29 0.51 0.57 ... $ SMB : num -2.49 -1.25 -1.38 -0.2 -0.34

Hi, I am curious about how to interpret the table produced by anova(ols(...)), from the Design package. I have a multiple linear regression model, with some interaction, defined by: ols(formula = log(ksat * 60 * 60) ~ log(sar) * pol(activity, 3) + log(conc) * pol(sand, 3), data = sm.clean, x = TRUE, y = TRUE) n Model L.R. d.f. R2 Sigma 1834 1203

Greets, My data looks like: > p3.18 s xbar subgroup 1 0.84 12.2 1 2 1.64 11.2 2 3 2.07 10.6 3 4 2.49 12.2 4 5 0.84 11.2 5 ... Using the command > qcc(p3.18$xbar,type="xbar",sizes=5,center=mean(p3.18$xbar),std.dev=mean(p3.18$s)/0.94,title="X-bar Chart for Paper Sheet Length Data") I get the x-bar chart I expect. However,

Hi, I am beginning to learn R and have a data table that I would like to produce a microarray-like plot. The table looks like this: 3 0 0 3 -377.61 1.94 3 0 0 3 -444.80 2.36 2 1 0 3 -519.60 2.39 1 1 1 3 -54.88 2.49 2 1 1 4 -536.55 2.53 1 0 1 2 108.29 2.62 2 0 0 2 39.56 2.62 3 0 1 4 108.32 2.63 2 0 0 2 -455.23 2.84 1 0 0 1 -432.30 2.98 ... I would like to assign colors to the first three columns

I have a data.frame named "df". The dput of df is at the bottom of this e-mail. What I'd like to do is replace the "n/a " values with NA. On Mac OSX, it works to do this: df[df == "n/a"] <- NA However, it does not work on Ubuntu. See below. Thanks in advance, Garrett > x <- df[27, 4] # complete data.frame dput is below > dput(x) "n/a?"

change fomr v1: a simplier definition of default vcpu_is_preempted skip mahcine type check on ppc, and add config. remove dedicated macro. add one patch to drop overload of rwsem_spin_on_owner and mutex_spin_on_owner. add more comments thanks boqun and Peter's suggestion. This patch set aims to fix lock holder preemption issues. test-case: perf record -a perf bench sched messaging -g

change fomr v1: a simplier definition of default vcpu_is_preempted skip mahcine type check on ppc, and add config. remove dedicated macro. add one patch to drop overload of rwsem_spin_on_owner and mutex_spin_on_owner. add more comments thanks boqun and Peter's suggestion. This patch set aims to fix lock holder preemption issues. test-case: perf record -a perf bench sched messaging -g

On 07/06/2016 02:52 AM, Peter Zijlstra wrote: > On Tue, Jun 28, 2016 at 10:43:07AM -0400, Pan Xinhui wrote: >> change fomr v1: >> a simplier definition of default vcpu_is_preempted >> skip mahcine type check on ppc, and add config. remove dedicated macro. >> add one patch to drop overload of rwsem_spin_on_owner and mutex_spin_on_owner. >> add more comments

On 07/06/2016 02:52 AM, Peter Zijlstra wrote: > On Tue, Jun 28, 2016 at 10:43:07AM -0400, Pan Xinhui wrote: >> change fomr v1: >> a simplier definition of default vcpu_is_preempted >> skip mahcine type check on ppc, and add config. remove dedicated macro. >> add one patch to drop overload of rwsem_spin_on_owner and mutex_spin_on_owner. >> add more comments

On 06/07/2016 08:52, Peter Zijlstra wrote: > On Tue, Jun 28, 2016 at 10:43:07AM -0400, Pan Xinhui wrote: >> change fomr v1: >> a simplier definition of default vcpu_is_preempted >> skip mahcine type check on ppc, and add config. remove dedicated macro. >> add one patch to drop overload of rwsem_spin_on_owner and mutex_spin_on_owner. >> add more comments

On 06/07/2016 08:52, Peter Zijlstra wrote: > On Tue, Jun 28, 2016 at 10:43:07AM -0400, Pan Xinhui wrote: >> change fomr v1: >> a simplier definition of default vcpu_is_preempted >> skip mahcine type check on ppc, and add config. remove dedicated macro. >> add one patch to drop overload of rwsem_spin_on_owner and mutex_spin_on_owner. >> add more comments

Hullo, All... I'm maintaining about twenty HP/UX 11.00 Servers (L1000, 512Mb), all with SaMBa installed. Today, I notice that two of them have the SMBD processes eating more CPU than expected... Bellow is one of my TOP screens... Processes that take 0.40% CPU now take 7.61%! System: L024 Tue Jul 16 14:39:41 2002 Load averages: 6.09, 6.33, 5.88 121

Hi, I am using the bagplot function within the aplpack package and often get this error: Error in chull(pg[, 1], pg[, 2]) : NA/NaN/Inf in foreign function call (arg 2) Here's an example of data for which this happens: bagplot(c(-4.66, -2.62, -3.65 ,-3.07 ,-4.91, -4.56 ,-3.79, -3.10, -3.01), c(2.14, -7.18, -0.15 , 2.67, -2.49, -0.89 , 0.96 , 0.59, -4.59)) Can anyone help? --

I am having difficulty understanding how I would constrain a data set by filtering out 'records' based on certain criteria. Using SQL I could query using 'select * from my.data where LithClass in ('sand', 'clay')' or some such. Using subset, there seem to be ghosts left behind (that is, all of the LithClass *.Labels* remain after subset) > dput(tcc)

On Jul 22, 2010, at 4:18 PMPDT, Reza Yazdani wrote: > Hi, > > I ran Spec2006 with -O4. All integer benchmarks passed, but only 8 > out 17 of floating point benchmarks passed. Is this normal or I > made a mistake in my build? Hi Reza. Somebody on Linux should answer, but I don't think it's normal. You may have checked out the source at a moment when it had a bug

How to optimize the for-loop to be reasonably fast for sample.size=100000000 ? You may want to change sample.size=1000 to have an idea what I am achieving. set.seed(143) A <- matrix(sample(0:1, sample.size, TRUE), ncol=10, dimnames=list(NULL, LETTERS[1:10])) B <- list() for(i in 1:10) { B[[i]] <- apply(combn(LETTERS[1:10], i), 2, function(x) { sum(apply(data.frame(A[,x]), 1,

Hi, I ran Spec2006 with -O4. All integer benchmarks passed, but only 8 out 17 of floating point benchmarks passed. Is this normal or I made a mistake in my build? Reza -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20100722/4c4a81a9/attachment.html>

Hello, What is the maximum number of simultaneous calls supported by asterisk. thks -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.digium.com/pipermail/asterisk-users/attachments/20090703/0794c554/attachment.htm