search for: aqs

Displaying 20 results from an estimated 175 matches for "aqs".

Did you mean: aps
2017 Apr 12
3
"table(droplevels(aq)$Month)" in manual page of droplevels
The last line of the example in droplevels' manual page seems to be incorrect to me. I think it should read: "table(droplevels(aq$Month))". Amazingly (I don't understand) both variants seem to produce the same result (R 3.3.3): --- > aq <- transform(airquality, Month = factor(Month, labels = month.abb[5:9])) > aq <- subset(aq, Month != "Jul") >
2017 Apr 12
2
"table(droplevels(aq)$Month)" in manual page of droplevels
Hello, Inline. Em 12-04-2017 16:40, Henric Winell escreveu: > (Let's keep the discussion on-list -- I've added back R-devel.) > > On 2017-04-12 16:39, Ulrich Windl wrote: > >>>>> Henric Winell <nilsson.henric at gmail.com> schrieb am 12.04.2017 >>>>> um 15:35 in >> Nachricht <b66fe849-bb8d-f00d-87e5-553f866d57e0 at gmail.com>:
2017 Jun 26
2
Odd behaviour in within.list() when deleting 2+ variables
>>>>> peter dalgaard <pdalgd at gmail.com> >>>>> on Mon, 26 Jun 2017 13:43:28 +0200 writes: > This seems to be due to changes made by Martin Maechler in > 2008. Presumably this fixed something, but it escapes my > memory. Yes: The change set (svn -c46441) also contains the following NEWS entry BUG FIXES o
2017 Jun 26
2
Odd behaviour in within.list() when deleting 2+ variables
The behaviour of within() with list input changes if you delete 2 or more variables, compared to deleting one: l <- list(x=1, y=2, z=3) within(l, { rm(z) }) #$x #[1] 1 # #$y #[1] 2 within(l, { rm(y) rm(z) }) #$x #[1] 1 # #$y #NULL # #$z #NULL When 2 or more variables are deleted, the list entries are instead set to NULL. Is this intended?
2017 Apr 13
0
"table(droplevels(aq)$Month)" in manual page of droplevels
>>>>> Rui Barradas <ruipbarradas at sapo.pt> >>>>> on Wed, 12 Apr 2017 17:07:45 +0100 writes: > Hello, Inline. > Em 12-04-2017 16:40, Henric Winell escreveu: >> (Let's keep the discussion on-list -- I've added back >> R-devel.) >> >> On 2017-04-12 16:39, Ulrich Windl wrote: >>
2017 Apr 12
0
"table(droplevels(aq)$Month)" in manual page of droplevels
(Let's keep the discussion on-list -- I've added back R-devel.) On 2017-04-12 16:39, Ulrich Windl wrote: >>>> Henric Winell <nilsson.henric at gmail.com> schrieb am 12.04.2017 >>>> um 15:35 in > Nachricht <b66fe849-bb8d-f00d-87e5-553f866d57e0 at gmail.com>: >> On 2017-04-12 14:40, Ulrich Windl wrote: >> >>> The last line of the
2009 Sep 06
1
IVT SCD support status
Rainer, Arjen I was wandering around the code, and found that few things are missing around the IVT code: - no manpage, - no entry in driver.list - no device{mfr,model,type} in the code. I was about to submit a patch to address the above (ready to commit), but wanted first to get an update on the status. looking at the last thread, it's a bit unclear... I'm also interested an upsc
2017 Jun 26
0
Odd behaviour in within.list() when deleting 2+ variables
This seems to be due to changes made by Martin Maechler in 2008. Presumably this fixed something, but it escapes my memory. However, it seems to have broken the equivalence between within.list and within.data.frame, so now within.list <- within.data.frame does not suffice. The crux of the matter seems to be that both the following constructions work for data frames > aq <-
2017 Jun 26
0
Odd behaviour in within.list() when deleting 2+ variables
> On 26 Jun 2017, at 19:04 , Martin Maechler <maechler at stat.math.ethz.ch> wrote: > >>>>>> peter dalgaard <pdalgd at gmail.com> >>>>>> on Mon, 26 Jun 2017 13:43:28 +0200 writes: > >> This seems to be due to changes made by Martin Maechler in >> 2008. Presumably this fixed something, but it escapes my >> memory. >
2017 Jun 26
1
Odd behaviour in within.list() when deleting 2+ variables
>>>>> "PD" == Peter Dalgaard <pdalgd at gmail.com> >>>>> on Mon, 26 Jun 2017 20:12:38 +0200 writes: >> On 26 Jun 2017, at 19:04 , Martin Maechler >> <maechler at stat.math.ethz.ch> wrote: >> >>>>>>> peter dalgaard <pdalgd at gmail.com> on Mon, 26 Jun
2009 Jun 05
3
help with duplicates
I have a large dataset that contain duplicate records. How do I identify and remove duplicate records? Chris Anderson 707.315.8486 www.sassydeals4u.com ____________________________________________________________ Free info for small business owners. Click here to find great products geared for your business.
2012 Dec 05
0
AQ-R 0.2 // realtime messaging.
...a STOMP compliant messaging server, such as the ActiveQuant Master Server. There are various STOMP protocol compliant servers [1]. You can build arbitrarily complex messaging infrastructures, where messages flow between R instances or other-language messaging components. The key functions are: aqSubscribe(aChannel) - subscribe to messages in a channel aqWaitForData() - a blocking call that waits for data to arrive aqPoll() - fetches all messages from the internal buffer (not the STOMP server) aqSend(channel, text) - send a message to a channel This extension does buffer incoming data betwe...
2012 Dec 05
0
AQ-R 0.2 // realtime messaging.
...a STOMP compliant messaging server, such as the ActiveQuant Master Server. There are various STOMP protocol compliant servers [1]. You can build arbitrarily complex messaging infrastructures, where messages flow between R instances or other-language messaging components. The key functions are: aqSubscribe(aChannel) - subscribe to messages in a channel aqWaitForData() - a blocking call that waits for data to arrive aqPoll() - fetches all messages from the internal buffer (not the STOMP server) aqSend(channel, text) - send a message to a channel This extension does buffer incoming data betwe...
2009 Jun 23
5
Merging Irregular Time Series With NAs
Hi I have two irregular time series, which are of different lengths and being and end at different times. For the common subset of time that they both span, they should have the same values, but the values may occur at slightly different time intervals. I am trying to "line up" the identical values and reconcile them. I have merged the two series into a zoo object which looks
2006 Feb 01
6
[XM-TEST][PATCH] hvm network test fixes
The following patch allows the network tests to pass with hvm support enabled. More specifically: 02_network_local_ping_pos.py REASON: ping loopback failed for size 65507. ping eth0 failed for size 65507. (but all other size pings work) 05_network_dom0_ping_pos.py REASON: Ping to dom0 failed for size 65507. (but all other size pings work) 11_network_domU_ping_pos.py passes 100% (even the large
2005 Jul 03
11
[PATCH] xm info
This patch makes "xm info" show information on xen version, compile info, number of socket/core, etc... In order to do that, it extends physinfo hypercall to return number of socket, adds few functions to libxc and extends python wrapper correspondingly. Here is the output of new "xm info": -- system : Linux host : ubuntu xen_release
2005 Nov 27
1
segfault on write.dcf with gzfile connection
I'm seeing a segfault on x86_64 Linux with the following code: desc = read.dcf("BAD") con = gzfile("test.gz", "wt") write.dcf(desc, file=con) close(con) where BAD has a long field (see below for example). The crash happens inside dummy_vfprintf. I think the issue is that the va_list ap is modified by the first vsnprintf call
1997 Apr 29
0
R-alpha: frametools v.0.0000001
The following three functions are designed to make manipulation of dataframes easier. I won't write detailed docs just now, but if you follow the example below, you should get the general picture. Comments are welcome, esp. re. naming conventions. Note that these functions are definitely not portable to S because they rely on R's scoping rules. Not that difficult to fix, though: The nm
2009 Nov 09
1
Using something like the "by" command, but on rows instead of columns
Hello R Forum users, I was hoping someone could help me with the following problem. Consider the following "toy" dataset: Accession SNP_CRY2 SNP_FLC Phenotype 1 NA A 0.783143079 2 BQ A 0.881714811 3 BQ A 0.886619488 4 AQ B 0.416893034 5 AQ B 0.621392903 6 AS B 0.031719125 7 AS NA 0.652375037 "Accession"
2010 May 12
1
exact the variables used in tree construction
> fit.dimer <- rpart(as.factor(out) ~ ., method="class", data=p_df) > > fit.dimer$frame[, "var"] [1] NE WC <leaf> TA <leaf> <leaf> WG WD WW WC [11] <leaf> <leaf> <leaf> CT <leaf> FC <leaf> YG QT <leaf> [21] <leaf> <leaf> NW DP DY <leaf> SK