similar to: ggplot2 and Date class

Hi I have a timeSeries object (X) with monthly returns. I want to display the returns with a barplot, which I can fix easily. But my problem is labaling the x-axis, if I use the positions from the timeseries It gets very messy. I have tried rotating and changing the font size but it doesn't do the trick. I think the optimal solution for my purpose is too only display every second or third

Hi everyone. Long time listener, first-time caller here. I have a data set that's been melted with the excellent reshape package, but I can't seem to cast it the way I need to. Here's the melted data's structure: > str(mdat) 'data.frame': 6978 obs. of 4 variables: $ VehType : Factor w/ 2 levels "Car","Truck": 1 1 2 1 1 2 1 1 1 1 ... $ Year :

Hi, I have this script: dat <- data.frame(X = halistat$Date,Y1 = halistat$avg,Y2 = halistat$stdev) ggplot(data = dat, aes(x = X, y = Y1, ymin = Y1 - Y2, ymax = Y1 + Y2)) + geom_point() + # points at the means geom_line() + # if you want lines between pints geom_errorbar() # error bars, Y1 - Y2 and Y1 + Y2 halistat$Date values: 29/1/10 21/2/10 30/3/10 30/4/10 30/5/10 In the resulted

In page http://had.co.nz/ggplot2/scale_date.html , there is a time series plot for multiple variables at the bottom. i.e qplot(date, value, data = em, geom = "line", group = variable) + + facet_grid(variable ~ ., scale = "free_y") How can I make different color for different series? Thanks -- View this message in context:

Dear colleagues, I have extracted the dates of several news stories from a newspaper data base to chart coverage trends of an issue over time. They are in a data frame that looks just like one generated by the reproducible code below. I can already generate a histogram of the dates with various intervals (months, quarters, weeks years) using hist.Date. However, there are two other

Hi all, I have a question about setting arbitrary breaks/labels when using GGPLOT and date/time data on the x-axis. I want to specify the breaks/limits arbitrarily rather than using scale_x_date(major = 'blah'), much like when arbitrarily defining breaks/labels using scale_x_discrete(breaks = blah, labels = blah) I have tried variants such as: scale_x_date(major = seq(from =

I'm having trouble figuring out how to format Date variables when used as axis labels in graphs. The particular case here is an attempt to re-create Nightingale's coxcomb graph with ggplot2, where I'd like the months to be labeled as "Mar 1885", "Apr 1885", using a date format of "%b %Y" applied to label the dates, or really anything other than

I just updated to R 2.14 with ggplot2 0.9 and am finding bugs. > ggplot2 "GPL-2" "2.14.0" This example is taken from pg 101 in the ggplot book. > plot <- qplot(date, psavert, data = economics, geom = "line") + > ylab("Personal savings rate") + geom_hline(xintercept = 0, colour = > "grey50")' > plot +

I am trying to use ggplot to plot the data, and R code, below. The dates (jdate) are printing as Mar 01, Mar 15, etc. I want to have the date printed as MMM DD YYYY (or any other way that will show month, date, and year, e.g. mm/dd/yy). How can I accomplish this? yyy <- structure(list( jdate = structure(c(19052, 19053, 19054, 19055, 19058, 19059, 19060, 19061, 19062,

Dear all, ggplot gives me an error when trying to plot time series data using a date variable as the x axis. g<-structure(list(Date = c("2011-12-23", "2011-12-30", "2012-01-06", "2011-12-23", "2011-12-30", "2012-01-06", "2011-12-23", "2011-12-30", "2012-01-06"), variable = structure(c(1L, 1L, 1L, 2L, 2L,

Dear list, I have been struggling with this for some time now, and for the last hour I have been struggling to make a working example for the list. I hope someone out there have some experience with plotting longitudinal data that they will share. My data is some patient data with three different time stamps. First the patients are identified at different times (first time stamp). Second, they

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

ggplot2 ------------------------------------------------------------ ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce

Hello, is there a possibility to set default options to qplot? I need to draw a lot of graphs and would like to have all of them as point plot but with a greater size and a fixed color for all dots. Thanks for help. Christoph

?s 05:11 de 13/01/2023, roslinazairimah zakaria escreveu: > Hi, > > I would like to customise my date series on the plot. I tried this: > > dt_ts <- ts(dt) > autoplot(dt_ts[,2]) + ylab("Charge counts") + xlab("Daily") > > but the label is not the date series. > > Tqvm for any help given. > > >> dput(dt) > structure(list(time

library(ggplot2) melt.updn <- (structure(list(date = structure(c(11808, 11869, 11961, 11992, 12084, 12173, 12265, 12418, 12600, 12631, 12753, 12996, 13057, 13149, 11808, 11869, 11961, 11992, 12084, 12173, 12265, 12418, 12600, 12631, 12753, 12996, 13057, 13149), class = "Date"), site = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,

Hi, I would like to customise my date series on the plot. I tried this: dt_ts <- ts(dt) autoplot(dt_ts[,2]) + ylab("Charge counts") + xlab("Daily") but the label is not the date series. Tqvm for any help given. > dput(dt) structure(list(time = c("1/1/2014", "2/1/2014", "3/1/2014", "4/1/2014", "5/1/2014",

Hello All, Would like to be able to convert a matrix to a dataframe without losing an assigned dimname. Here is an example that should illustrate what I'm talking about. tableData <- state.x77[c(7, 38, 20, 46), c(7, 1, 8)] names(dimnames(tableData)) <- c("State", "") tableData State Frost Population Area Connecticut 139 3100 4862