similar to: ggplot2: less than equal sign

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",

Muchas gracias Jesús, Por lo que veo hay que hacer una columna diferente para los símbolos, tal como sugiere Carlos. No hay forma de ubicarlos en el mismo string, acompañando al número? Manuel El 9 de octubre de 2017, 8:52, Jesús Para Fernández < j.para.fernandez en hotmail.com> escribió: > Con > > print("\u2265") > > > lo consigues. > > Aqui tienes

Hi everyone, I have the following problem: I want to perform a LDA with the function lda(). My data object mat.data is a matrix with dimensions > dim(mat.data) [1] 1228 44 and my grouping vector grp has length 1228: > length(grp) [1] 1228 Every time I call lda(), the following error message occurs: > lda(mat.data,grp) Error in lda.default(x, grouping, ...) : length of dimnames [2]

Hi, how can I get a more descriptive text instead of the variable names in my XY-lattice plot, according to the table below? Variable text acet = "Acetylaspartate Thalamus" chol = "Choline Thalamus" acetp = "Acetylaspartate parieoc" ino = "Inositole Thalamus" I could not find a solution. Please have a look at my syntax. Thanks a lot,

Dear all, I was hoping someone could help with a ggplot question. I would like to generate a faceted bar chart, but missing data are causing problems. g<-structure(list(Date = structure(c(11322, 11687, 12052, 11322, 11687, 12052, 11322, 11687, 12052, 11322, 11687, 12052), class = "Date"), variable = c("Govt Revenues to GDP", "Govt Revenues to GDP",

Am trying to produce a graph which prints out well in black and white using ggplot2. I have the following example set up nicely, but want to shade the red bars in one pattern and the blue in another so they print out clearly. I tried changing colours to 1 light, 1 dark, but then the overlapping colour looks virtually identical to the darker one. I noted the option density in barplot, but

Hi! I am trying to use ggplot2 to create a stacked bar plot. Previously I tried using barplot() but gave up because of problems with the positioning of the legend and other appearance problems. I am now trying to learn ggplot2 and use it for all the plots that I need to create for my dissertation. I am able to create normal bar plots using ggplot2, but I am stomped with the stacked bar plots.

Dear all, I have a data frame f, with four variables: f <- data.frame(A=c(0,0,1,1), B=c(0,1,0,1), C=c(1,1,0,1), D=c(3,1,2,3)) f A B C D 1 0 0 1 3 2 0 1 1 1 3 1 0 0 2 4 1 1 1 3 I want to create a new variable (f$E), such that each of its elements is drawn from either f$A, f$B, or f$C, according to the value (for each row) of f$D (values of which range from 1 to 3). In the first row, D is

Hi all, I am trying to do a barplot in ggplot2 and want to make sure that the legend order is consistent with the bar order, that is the legend order is orig and match; and the bars are ordered in the same way. It seems to me that I can only control one of them. Any idea? library(ggplot2) df <- data.frame(value = rnorm(20), name = factor(rep(letters[1:10], 2), levels =

How do I create a legend with ggplot? I think should be getting the FuelTypeNum in the legend. Plot: http://r.789695.n4.nabble.com/file/n4632471/Rplot.jpeg My code is: ggplot(data=tempTable, aes(x=Bands8, y=SubPercent, fill=FuelTypeNum)) + geom_bar(position="stack", stat="identity") + scale_colour_hue('my legend', breaks = levels(tempTable$FuelTypeNum),

Dear R-help list, I have grouped data, looking like this: cases <- c(23,12,56,81) total <- c(123,234,248,390) x1 <- c(0,0,1,1) x2 <- c(0,1,0,1) Data <- as.data.frame(cbind(cases,total,x1,x2)) Data I would like to run a logistic regression with group weights on these, where cases and (total-cases) are equal to the group weights (w). My final data would look

I have a large dataset grouped by a factor and I want to perform a regression on each data subset based on this factor. There are many ways to do this, posted here and elsewhere. I have tried several. However I found one method posted on the R wiki which works exactly as I want, and I like the elegance and simplicity of the solution, but I don't understand how it works. Its all in the formula

Dear Spencer and Prof. Fox, Thank you for your replies. I'll very appreciate, if you have any ideas concerning the problem described below. First, I'd like to describe the model in brief. In general I consider a model with three equations. First one is for annual GRP growth - in general it looks like: 1) GRP growth per capita = G(investment, migration, initial GRP per

Muchas gracias Carlos. Pero eso haría que el signo se muestre tal como se deba mostrar , es decir: ? Manuel El 9 de octubre de 2017, 1:46, Carlos Ortega <cof en qualityexcellence.es> escribió: > Puedes incluir estos signos en una columna nueva antes de cada una de las > columnas numéricas. > Que el data.frame tuviera esta pinta... > > Signo_1, Col_1, Signo_2, Col_2,

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.

Is there a way to specify a Z matrix using the lmer function, where the model is written as y = X*Beta + Z*u + e? I am trying to reproduce smoothing methods illustrated in the paper "Smoothing with Mixed Model Software" my Long Ngo and M.P. Wand. published in the /Journal of Statistical Software/ in 2004 using the lme4 and Matrix packages. The code and data sets used can be found at

Hi All, I am currently conducting a mixed model. I have 7 repeated measures on a simulated clinical trial. If I understand the model correctly, the outcome is the measure (as a factor) the predictors are clinical group and trial (1-7). The fixed factors are the measure and group. The random factors are the intercept and id and group. I tried using 2 functions to calculate mixed effects.

Hi, I'd like to add, say, the sample size for every group in a bwplot as a parenthetical annotation to the axis. Here's a sketch: --8<---------------cut here---------------start------------->8--- require(Hmisc) age <- sample(1:100, 1000, replace = TRUE) sex <- gl(2, 8, 1000, c("Male", "Female")) grp <- gl(4, 6, 1000, letters[1:4]) bwplot(grp ~ age |

Hi all, I am trying to produce some panels with dots in an X/Y plane where the diameter of the dots indicates a Z value (like e.g. earthquake maps where dot sizes indicate magnitudes and X/Y the location). This works fine with xyplot, e.g.: xyplot(1:3~1:3,cex=1:3,pch=16) However, when I do this with a panel variable, e.g.: x<-rep(1:3,5) y <- rep(1:3,5) sz <- rep(1:5,each=3) grp

Hi, I am trying to automate the creation of tables for some simply analyses. There are lots and lots of tables, thus the creation of a user-defined function to make and output them to excel. My problem is that some of the analyses have convergence issues, which I want captured and included in the output so the folks looking at them know how to view those estimates. I am successfully able to do