similar to: Function for gruping similar variables?

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 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

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

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

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

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> 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)

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

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

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:

I''ve upgraded to Rails 1.1.2, and I''m trying to push this change through to our build server (Linux/Oracle) and we are getting some errors in the unit tests using Oracle. Looking at the data in the tests reveals a precision problem. Looking at the tables tells the whole story. My development database contains this table: SQL> describe dls_grids; Name

Dear people of the help list I am drying to analyze my data using the 'lmer' function and I keep having problems. This is the model: > fm1<-lmer(dbh~spec+scheme+(1|Plot),data=d, REML=FALSE). I analyse tree size (dbh) of 3 different species (spec) and 3 planting schemes (scheme). I have 5 plots, which I hope to model as a random factor. (However, the subsequent output is based on

Currently, loop fully unroller shares the same default threshold as loop dynamic unroller and partial unroller. This seems conservative because unlike dynamic/partial unrolling, fully unrolling will not affect LSD/ICache performance. In https://reviews.llvm.org/D28368, I proposed to double the threshold for loop fully unroller. This will change the codegen of several SPECCPU benchmarks: Code