similar to: "less than or equal to" glyph

Dear all, Please, I have a doubt regarding symbol plotting with data originating from a table. Please, see below: I have a tab delimited file called table1.txt with 4 columns: ypos animal var1 var2 5 cat gina <= lady gina \u2264 lady 7 dog bill >= tony bill \u2265 tony 9 fish dude <= bro dude \u2264 bro #I then load in the data to R: table1<-read.table("table1.txt",

Hello, I am trying to add a less than equal to symbol in a ggplot2 legend text. See sample code below. I have tried using the expression function and \u2264. I also tried adding labels to legend.text under theme. Neither of these 3 options work. Please help, Mahesh ++++++++++++++ Extra.column=ifelse(data[,covariate]>cutpoint,1,0) Grp1 <- "\u2264 1.5" Grp2 <-

please, when i use the command postscript, the symbol "<="(less than or equal to) is replaced by "..." (ellipsis) how can I fix that? postscript("plot1.ps", width = 22, height = 11.5,pointsize=24,paper="special",bg="transparent") plot(NULL,xlim=c(1,10),ylim=c(1,10)) text(5,5,"\u2264") dev.off() I'm using

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

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,

Please, I wonder if someone knows how to add the less than or equal to symbol in the plot generated by the code below: var1<-c('age <= 3','age <= 7','age <= 10','age <= 11','age <= 20','age <= 25','age <= 30','age <= 45','age <= 50','age < 55','age >= 55')

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

Dear all, When I use a unicode symbol in the labels for a factor object, the corresponding level does not display as expected. However, using levels() on the factor returns the desired output. I noticed the discrepancy when the legend labels from a call to ggplot() did not display the desired symbol, but an explicitly built legend using the same labels did. Example (I am trying to get the less

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

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

Can i use "readLines" to extract only the linees with a specific word within? If yes, how? Tnx for help. -- View this message in context: http://r.789695.n4.nabble.com/Question-about-readLines-tp3044701p3044701.html Sent from the R help mailing list archive at Nabble.com.