similar to: Ggplot: free x-scales in a facet-grid

Hola, Dell es los pocos que yo sepa que ofrecen equipos con Linux instalado como SO de base: http://www.dell.com/es/empresas/p/xps-13-9350-laptop-ubuntu/pd?oc=bnx9333 Saludos, Carlos Ortega www.qualityexcellence.es El 6 de septiembre de 2016, 21:33, Ruben Tobalina Ramirez < lagrimaescrita en gmail.com> escribió: > Buenas, > > gracias a los que me ayudaron, he conseguido hacer

Sí, la primera reunión de la temporada será el 8 de este mes. Un saludo, Carlos J. Gil Bellosta http://www.datanalytics.com El 3 de septiembre de 2016, 23:52, Ruben Tobalina Ramirez < lagrimaescrita en gmail.com> escribió: > Muchas gracias a todos! > > Pues si, Eric, R a veces me vuelve loco, tiene una lógica muy particular. > Miraré el libro, que lattice no lo he usado

Dear R users, My immediate problem is that I do not seem to understand how to use the function scale_x_datetime function in ggplot. My deeper problem is that I don?t understand the use of the POSIXct class. ? My data looks like like the following : T????????? val 2009-11-04 23:59:57?? 972.357117???? 2009-11-05 00:02:21?? 969.389221???? 2009-11-05 00:04:45?? 868.817749???? 2009-11-05 00:07:09??

Hi, I am trying to covert a Winbugs code into R code. Here is the winbugs code model{# model’s likelihoodfor (i in 1:n){time[i] ~ dnorm( mu[i], tau ) # stochastic componenent# link and linear predictormu[i] <- beta0 + beta1 * cases[i] + beta2 * distance[i]}# prior distributionstau ~ dgamma( 0.01, 0.01 )beta0 ~ dnorm( 0.0, 1.0E-4)beta1 ~ dnorm( 0.0, 1.0E-4)beta2 ~ dnorm( 0.0, 1.0E-4)#

Prueba algo así: library(ggplot2) datos <- read.table("Downloads/pec.csv", header = T, sep = ";", dec = ",") datos$Miles <- as.numeric(gsub("\\.", "", as.character(datos$Miles))) datos$hora <- strptime(datos$hora, format = "%H:%M") ggplot(datos, aes(x = hora, y = Miles)) + geom_line() + scale_x_datetime(date_breaks =

Hello there, Could anybody please help on how to correctly use ggplot when printing irregural time series, by irregural here I mean for example the absence of some dates in the whole timespan of a dataset. To be more precise in the following example I generated some random data which spans the whole November up to now and dropped weekend days but for some reasons ggplot continues to plot the

Y bueno, algo más bonito sí que queda con ggplot... #--------------- datIn <- read.csv("pec.csv", header = TRUE, sep = ";", dec = ",") library(ggplot2) lab_x_idx <- c(1, round(nrow(datIn)/2, 0), nrow(datIn)) lab_x <- as.vector(datIn$hora[ lab_x_idx]) fre_gg <- ggplot( datIn, aes( x = 1:nrow(datIn), y = frec)) + geom_bar(stat =

In lattice #toy data library(ggplot2) library(lattice) x <- rnorm(100) y <- rnorm(100) k <- sample(c("Weak","Strong"),100,replace=T) j <- sample(c("Tall","Short"),100,replace=T) w <- data.frame(x,y,j,k) xyplot(y~x|j+k,scales=list(y=list(relation="free"))) will give you a scale in each subplot with a range equal to the range of y

I have the following data: v <- rnorm(13) w <- rnorm(13) x <- rnorm(13) y <- rnorm(13) z <- rnorm(13) Using GGPLOT facet, what I want to do is to create a 5*5 matrix, where each cells plot the correlation between each pair of the above data. E.g. v-v,v-w; v-x,...,z-z What's the way to do it? Attached is the image. GV.

Hello, I am plotting many histograms together using facet_grid in ggplot2. However, I want to then add a vertical line to each histogram, or facet, each of which vertical lines are at different x-values. The following example adds all vertical lines to each facet: ggplot(data,aes(values)) + geom_histogram() + facet_grid(.~variable) + geom_vline(xintercept=c(5,10,15)) How can I add a vertical

Hi I am running the following code: sym <- c(sym1,sym2,sym4) lifedxm <- c("O-BD","O-WELL","O-UNI") life <- c(lifedxm,lifedxm,lifedxm) tp <- c("TP-ANY","TP-ANY", "TP-ANY", "TP-SUB", "TP-SUB", "TP-SUB", "TP-CLIN" , "TP-CLIN", "TP-CLIN") data <-

Hello All, I am trying to do the comparison of my observed and modeled data sets for two stations. One station is called station "red" and another is called "blue". I was able to create the facets but when I tried to add two series in one facet then only one facet got updated while other didn't. The data watersurf1.csv can be downloaded from

Hello Experts, I found this example on web and use it just for explanation. ( http://stackoverflow.com/questions/15867263/ggplot2-geom-text-with-facet-grid ) library(ggplot2) x <-runif(9, 0, 125) data <-

Hi! Is it possible to have different axis limit for each facet in a ggplot2 plot? Here is an example: -------------------------------------------------------------- library(ggplot2) x=seq(-10,10,.1) y=cos(x) z=sin(x)*10 dat=melt(data.frame(x,y,z), id.var="x") qplot( x, value, data=dat, facets=variable~., geom="line" )

Does Hadley's response to the following post still hold for the most recent version of ggplot2? http://tolstoy.newcastle.edu.au/R/e2/help/07/07/21347.html#21379qlink2 I'm trying to accomplish in ggplot2 what the "relation" component of "scales" does in lattice, e.g., stripplot(yield ~ variety | site, data = barley, scales = list(y = list(relation='free')))

I'm running into some problems with the spacing of some faceted ggplot plots. I have a number of time series faceted to be one above another, but the scale labels of the y axes all clobber each other at the bottom/top of each. for example, try: qplot(x, y, data = data.frame(x = 1:10, y = 1:10, size = 1:10), facets = size ~ ., size = size) + scale_x_continuous(breaks = 1:10) +

Hi, is there anyway to adjust how ggplot(facet=) displays the layout of panels? I have a dataset with many 25 groups and gplot(y,x,facet= .~group) displays all 25 y~x plots next to each other so overall the plot is too wide. if i do the same plot in lattice xyploy(y~x|group) the y~x plots are arranged nicely 5 in each row to overall the plots is a nice 5 by 5 rectangular grid. Is there any way

just a quick question (to which I suspect the answer is "no"): does anyone know if, in the ggplot2 package, there's a way to override the default names of the facets in facet_wrap (which correspond to the levels of the factor used to facet)? I know that I go back and change the levels of the factor, but it would be convenient to be able to supply a vector of level names at the time

I have data that plots over time with four different variables. I would like to combine them in one plot using facet_grid, where each variable gets its own sub-plot. The following code resembles my data require(ggplot2) require(reshape2) subm <- melt(economics, id='date', c('psavert','uempmed','unemploy')) mcsm <- melt(data.frame(date=economics$date,

Look at the bottom of the message for my question #here is a little function that I wrote USGS <- function(input="discharge", days=7){ library(chron) library(gsubfn) #021973269 is the Waynesboro Gauge on the Savannah River Proper (SRS) #02102908 is the Flat Creek Gauge (ftbrfcms) #02133500 is the Drowning Creek (ftbrbmcm) #02341800 is the Upatoi Creek Near Columbus (ftbn) #02342500 is