similar to: MySQL + R as a Replacement for SAS Proc SQL + Various Stat Procs

Displaying 20 results from an estimated 2000 matches similar to: "MySQL + R as a Replacement for SAS Proc SQL + Various Stat Procs"

2017 May 10
2
Playing FLAC Files on Audi MMI
Hello, I am hoping that perhaps you know the answer to my car audio question, or can at least point me in the right direction. I own a 2013 Audi S4 that has the 3G-Plus Multi Media Interface (MMI) with the Bang & Olufsen Sound System. The MMI is able to playback lossy, compressed audio files (MP3, WMA and AAC), but does not have native support for FLAC, ALAC, or WMA Lossless.
2006 Jul 18
5
SQL query question
Hello, I know it''s off-topic. But I''m sure you are using SQL and can help me ;) I''ve a table CARS and a table KEYS and a LOCKS table. CARS id|name 1|audi 2|ford 3|mazda 4|porsche ... KEYS id|car_id|lock_id 1|1|1 2|2|1 3|2|2 4|3|1 5|3|2 6|4|1 7|4|2 8|4|3 ... LOCKS id|name 1|main 2|spare 3|engine ... A car can have many keys. Keys are for different locks. How can I
2012 Mar 12
1
Faceted bar plot shows wrong counts (ggplot2)
I have encountered a problem with faceted bar plots. I have tried to create something like the example explained in the ggplot2 book (see pp. 126-128): library(ggplot2) mpg4 <- subset(mpg, manufacturer %in% c("audi", "volkswagen", "jeep")) mpg4$manufacturer <- as.character(mpg4$manufacturer) mpg4$model <- as.character(mpg4$model) base <-
2013 Oct 09
3
Re: failing connections w/ virt-manager
Am 08.10.2013 14:46, schrieb Stefan G. Weichinger: >> Try enabling the flag, re-emerging the package, setting the logs and >> then reproduce it again. Check the logs and you should see why it's >> disconnecting. The docs say that libvirtd has to listen on the TCP port ... checked that: # netstat -alnp | grep libv tcp 0 0 0.0.0.0:16509 0.0.0.0:*
2005 Oct 12
4
Downgrade from 3 to 2 suggestions
After considerable experimentation I'm forced to accept that Samba 3 has problems with the combination of being a domain member, the 2.6 kernel, and Dell 2850 hardware. It works fine on the 2.4 kernels but fails on all the 2.6 versions I have avaialble for testing. I have one machine that I really prefer could stay at 2.6 so my last resort there is to try a downgrade to samba 2.X In the
2015 Jun 18
2
[LLVMdev] Do all the debug nodes in LLVM IR also compiles to DWARF?
Hi As the title says, are all the debug nodes of LLVM IR avaialble in DWARF? If I add a new custom MDNode in LLVM IR, can I expect the debug data will be available in DWARF in the binary if I compile in debug mode? Thanks Riyad -------------- next part -------------- An HTML attachment was scrubbed... URL:
2019 Mar 06
2
nvidia on 7.6
On 06/03/2019 19:30, Pete Geenhuizen wrote: > > > On 03/06/2019 09:59 AM, Fred Smith wrote: >> >>> I tried to install this and ran into a conflict >>> >>> --> Processing Conflict: >>> nvidia-x11-drv-340xx-340.107-2.el7_6.elrepo.x86_64 conflicts ocl-icd >>> --> Finished Dependency Resolution >>> Error: nvidia-x11-drv-340xx
2019 Mar 06
2
nvidia on 7.6
On 06/03/2019 21:53, Pete Geenhuizen wrote: > > > On 03/06/2019 04:21 PM, Phil Perry wrote: >> On 06/03/2019 19:30, Pete Geenhuizen wrote: >>> >>> That is all good and well, but my problem is that I now can't install >>> >>> vlc smplayer mplayer, or? ffmpeg-libs because they need >>> ocl-icd-2.2.12-1.el7.x86_64from epel.
2019 Mar 06
2
nvidia on 7.6
On Wed, Mar 06, 2019 at 07:26:42AM -0500, Pete Geenhuizen wrote: > > On 03/02/2019 05:41 AM, Phil Perry wrote: > > > >Hi Gerry, > > > >I've updated the nvidia 340xx legacy package set for el7.6, and > >released the packages to the elrepo testing repository. > > > >Please could you test them and let me know if they work as > >expected. To
2008 Mar 09
1
Two sample t-test
Hi, I want to perform t-test in R for each individual car. Here is what i have. Is there a way i can test each car? The original table (test.csv) Car Tester2 Tester2 Controller1 Controller2 Audi 0.56 0.9 0.5 0.9 Toyota 0.2 0.9 0.9 0.2 Honda 0.5 0.9 0.1 0.5 BMW 0.2 0.3 0.5 0.7 > cars<-read.table("c://test.csv",header=T,sep=",", + skip=2,comment.char="")
2014 Apr 05
1
Asterisk and SRTP
Hi experts, I am trying Asterisk SRTP in my environment, and find that when Asterisk is behind a NAT, the audi/video UDP ports opened for SRTP relay by Asterisk are local ports on the Asterisk server, media from the two clients out of the NAT (for example from Internet) can not reach the ports, and thus the two client can not establish the secure call via Asterisk. I have set up a STUN server
2008 Jun 24
1
Bar charts with error bars
I would like to add error bars to a bar chart, I have created in R. I am able to add error bars to a bar plot, but the same method does not seem to work for my bar chart version.   Is there a way to add error bars to bar charts? ________________________________________________________ Audi, Fiat, Peugeot, Skoda, Porsche, Toyota, Ford - Kelkoo har brugte biler til en hver smag! Klik her
2010 Nov 07
1
varclus in Hmisc vs SAS PROC VARCLUS
Hi, I'll apreciate your guidance on how can I re-create the output from SAS PROC VARCLUS in R. I've found the varclus function in Hmisc. However, is it possible to use that function to compute for each variable the 1-R**2 ratio (this is the ratio of 1 minus the R-squared with Own Cluster to one minus the R-squared in the Next Closest cluster)? Thanks in advance for any help, Lars.
2011 Apr 14
0
Help converting SAS Proc mixed to R code
To anyone that may be able to help, First I applogize if this message ends up in your inbox twice. The first one seemed to get stuck in a pending status so I deleted and started over. I am relatively new to R, however I know the basics through some classes I have taken. Unfortunately the classes left off the more complicated analysis that I need to learn and use. I am attempting to replicate
2004 Mar 30
4
rank() vs SAS proc rank
SAS proc rank has ties options of high and low that would allow producing ranks of the type found in the sports pages, e.g., rank (c(1,1,2,2,2,2,3)) == 1 1 3 3 3 3 7 Could R support these ties.methods?
2010 Sep 05
0
cov.unscaled in NLS - how to define cov.scaled to make comparable to SAS proc NLIN output - and theoretically WHY are they different
I am running a 3-parameter nonlinear fit using the default Gauss-Newton method of nls. initialValues.L = list(b=4,d=0.04,t=180); fit.nls.L = nls( myModel.nlm , fData.L, start = initialValues.L, control = nls.control(warnOnly = TRUE), trace=T ); summary.nls.L = summary(fit.nls.L); I run the same analysis in SAS proc NLIN. proc nlin data=apples outest=a; parms b=4 d=.04 t=180; model Y =
2008 Jun 25
2
R alternative to SAS PROC REPORT
R has wonderful graphics but I am wondering whether there is anything in R to provide customization of tables like PROC Report does in SAS. A Smile costs Nothing      But Rewards Everything Happiness is not perfected until it is shared                                                               -Jane Porter   [[alternative HTML version deleted]]
2006 Jun 30
0
SAS Proc Mixed and lme
I am trying to use lme to fit a mixed effects model to get the same results as when using the following SAS code: proc mixed; class refseqid probeid probeno end; model expression=end logpgc / ddfm=satterth; random probeno probeid / subject=refseqid type=cs; lsmeans end / diff cl; run; There are 3 genes (refseqid) which is the large grouping factor, with 2 probeids nested within each refseqid,
2005 Aug 18
1
R equivalent to `estimate' in SAS proc mixed
Example: I have the following model > model <- lmer(response ~ time * trt * bio + (time|id), data = dat) where time = time of observation trt = treatment group (0-no treatment / 1-treated) bio = biological factor (0-absent / 1-present) and I would like to obtain an estimate (with standard error) of the change in response over time for individuals in the
2007 Oct 24
1
is there a similar function to perform repeated statements as in SAS PROC MIXED?
PROC MIXED is used to fit mixed effects model for correlated data. Usually we can use either a REPEATED statment or a RANDOM statement. The random statement is corresponding to lme function in R -- specifying a random effect term. The repeated statement actually directly specifies the covariance structure -- is there a similar function in R to do this? I currently want to specify a unstructured