similar to: rsync 2.5.4 problem crossing file systems

Howdy, I'm trying to update (rsyncronize) a system that I've placed in another state where I have replaced the networker with a new version that's pointing to a new and different server. I'm running with the following parameters: /usr/lsd/SunOS.5.7/bin/rsync -n -vvacrRlpogtuxz --stats --progress . sjsun5x:/usr --exclude-from=/excludes_usr When I run rsync I ask rsync to exclude

http://bugzilla.mindrot.org/show_bug.cgi?id=71 Summary: configure is looking for zlib but I don't have one and I can't turn zlib off. Product: Portable OpenSSH Version: 3.0.2p1 Platform: Sparc OS/Version: Solaris Status: NEW Severity: critical Priority: P2 Component: Build

The model should be class aov or lm and my model class is aovlist. tried tidy from broom library but did not work. To make it class aov, I had to remove the error term; model <- aov(Rotationdata_R$`GY(Mg/ha)`~Rep+code*as.factor(Nitrogen),data=Rotationdata_R) Ahmed Attia, Ph.D. Agronomist & Soil Scientist On Mon, Dec 25, 2017 at 7:38 PM, David Winsemius <dwinsemius at

> On Dec 25, 2017, at 2:09 PM, Ahmed Attia <ahmedatia80 at gmail.com> wrote: > > The model should be class aov or lm and my model class is aovlist. > tried tidy from broom library but did not work. To make it class aov, > I had to remove the error term; > > model <- aov(Rotationdata_R$`GY(Mg/ha)`~Rep+code*as.factor(Nitrogen),data=Rotationdata_R) You seemed to have

Hi there, I am trying to run LSD.test(model) I used the following commands: attach(model) m1<- glm(ttl.m ~ site+year, family=quasipoisson, data= model) df<-df.residual(m1) MSerror<-deviance(m1)/df The following command did not work: comparison<- LSD.test (ttl.m, site+year, df, MSerror, alpha = 0.05, group=FALSE) I get an error message: Error: could not find function

> On Dec 25, 2017, at 10:21 AM, Ahmed Attia <ahmedatia80 at gmail.com> wrote: > > LSD.test ?LSD.test No documentation for ?LSD.test? in specified packages and libraries: you could try ???LSD.test? -- David Winsemius Alameda, CA, USA 'Any technology distinguishable from magic is insufficiently advanced.' -Gehm's Corollary to Clarke's Third Law

LSD-test produces error for this code; code <- as.factor(Rotationdata_R$`Rot/code`) #factor in the main Nitrogen <- as.factor(Rotationdata_R$Nitrogen) #factor in the sub Rep <- as.factor(Rotationdata_R$REP) #blocks Year <- as.factor(Rotationdata_R$YEAR) #years model <- aov(Rotationdata_R$`GY(Mg/ha)`~Rep+code*as.factor(Nitrogen)+Error(Rep/Year/code),data=Rotationdata_R)

Hi, I have a matrix of results of multiple 2x2 chi^2 tests, non- significant tests are marked as TRUE. Is there a function for grouping those variables in a similar way LSD.test from agricolae library does? I reviewed LSD.test's source but it's not helpful for me. This is my matrix: [,1] [,2] [,3] [,4] [,5] [,6] [,7] 1 TRUE FALSE TRUE TRUE TRUE FALSE TRUE 2 FALSE TRUE

If i insert \u2264 inside the text, like this lsd_label <- "LSD (P \u2264 0.05) = " the result is "LSD (P = 0.05) = " instead "LSD (P ? 0.05) = " how can i solve this problem? Thanks. -- View this message in context: http://r.789695.n4.nabble.com/less-than-or-equal-to-glyph-tp3073557p3073557.html Sent from the R help mailing list archive at Nabble.com.

I have no problem setting up my mixed model, or performing anova or lsmeans on my model?s outputs. However, performing lsd mean separation is giving me fits. So I do not have a problem when using two-way anova model. When using the code: fit.yield.add <- lm(data = ryzup, Yield ~ Rep + Nitrogen + Treatment) LSD.test(fit.yield.add, trt = "Nitrogen", alpha = 0.1, console = TRUE)

Hi all. I'm working on an assignment for a psychology class and I am not sure how to adjust the y-axis so it displays the range: 0, 5, 10, 15 The code below is almost ideal: lsd = c(3, 5, 13) mar = c(1, 2, 3) g_range <- range(0, lsd, mar) plot(lsd, type="o", col="blue", ylim=g_range, axes=FALSE, ann=FALSE) axis(1, at=1:3,

On 16/07/13 6:31 PM, Martijn van Beurden wrote: > On 16-07-13 09:07, Leigh Dyer wrote: >> Hi, >> >> On a particular input file, FLAC (testing with current git) greatly >> inflates its output if I encode at level 7, which enables >> --exhaustive-model-search. The source is a 24-bit WAV file of about >> 60MB; flac -6 encodes this to a 43MB FLAC file, but flac

On 16/07/13 8:10 PM, Erik de Castro Lopo wrote: > Leigh Dyer wrote: > >> Certainly -- I've uploaded the analysis files for both the -6 and -7 >> encodes, in case you wanted to compare: >> >> http://wootangent.net/~lsd/blah/6.ana >> http://wootangent.net/~lsd/blah/7.ana >> >> The encode seems to proceed normally until 59% of the way through the

Hola a todos Estoy trabajando con el package agricolae para realizar pruebas de medias y obtengo un error que no entiendo al trabajar las interacciones. Os explico: Poseo un Diseño Completamente al Azar para el arreglo de tratamientos factorial de la forma 2*2*4. El modelo consta de 6228 observaciones, el esquema para el anova es: A= 2 niveles={2,5} B= 4 niveles={F1,F2,F3,F4} C= 2

Queridos R-users: Tengo una duda que hace mucho tiempo que estoy intentando resolver, os explico a modo de ejemplo: Tengo estos efectos: Año(5 niveles),Localidad (10 niveles) y genotipo (3 niveles), año y localidad son aleatorios y genotipo es fijo (los he escogido yo). Me gustaría hacer obtener una tabla parecida a la Tabla Anova donde aparezca cada factor y sus interacciones y

Howdy, I'm trying to get a report from rsync using the -n option which will produce a report of files that are different in a ls -al kind of style so one could analyze what's different before possibly clobering a good file. Is this possibly in the works or does anyone have any ideas on how this might be done. It seems like a useful option to rsync to have. Regards, George...

Hi, I'm designing a experiment in order to compare the growing of several clones of a tree specie. It will be a complete randomized block design. How can I decide what model of mean comparision to choose? LSD, HSD,TukeyHSD, Duncan,...? Thanks in advance

Hi, On a particular input file, FLAC (testing with current git) greatly inflates its output if I encode at level 7, which enables --exhaustive-model-search. The source is a 24-bit WAV file of about 60MB; flac -6 encodes this to a 43MB FLAC file, but flac -7 produces a 9.1GB (!) file. The enormous file does seem to be perfectly valid, FWIW -- it (eventually) decodes to a WAV that's

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi. I have been using SAS for some time, and now I have discovered R. I am very happy with it, but I have not found out how to perform some of the multiple comparisons I was used to do in SAS. With the SAS/STAT, I generally used the MEANS (for comparison of arithmetic means) and the LSMEANS (for adjusted means) statements of the GLM procedure (I

This is the very last thing I need to make everything work properly. My query: sqlQuery(conn, "select to_char(lsd,'yyyy-mm') as yr,ttl_mo_prcp from mo_rains where stn_num=023000") Is there a way to may the stn_num in the query variable, ie make it so that whenever my script is run, the user must choose and input the station number? Cheers. -- View this message in context: