similar to: Double x grid in ggplot2

I am using ggplot2 to make a boxplot that overlays a scatterplot: pp = qplot(time, error, data=times, size=I(1), geom="jitter", main=title, ylab="Error (min)", xlab="Time before ON (min)", alpha=I(1/10), color=times$runway, ylim=c(-30,40)) pp2 = pp + with(times, facet_wrap(~ runway, ncol=2)) print(pp2 + geom_boxplot(alpha=.5,

I have a data set where the lines look like: 2011-05-13 00:00:00 EONAAL330 dfa13002516PSCNONA 2011-05-13 00:00:01 EONAAL223 laa13044510AS.NONM Some lines are missing the field before and after the NON: 2011-05-13 00:00:05 EONBHS229 mia13001621NON I read them into R using df = read.fwf(file, widths=c(19,-4,7,3,8,2,1,3,1),

I have a data frame (attached) that has interpolated EOT errors for each minute before flight landing. It also has the runway and an index for the flight: > > times[1:4,] time error runway flight 1 0 -0.02206235 04R 1 2 1 -0.07961631 04R 1 3 2 -0.13795380 04R 1 4 3 -0.20726073 04R 1 > > sapply(times, class) time error

I have two data frames of flight data, but they have very different numbers of rows. They come from different sources, so the data are not identical. > names(oooi) [1] "FltOrigDt" "MkdCrrCd" [3] "MkdFltNbr" "DprtTrpnStnCd" [5] "ArrTrpnStnCd" "ActualOutLocalTimestamp"

Dear kind R helpers, I have a vector of runway names in rwy ("31R", "31L",... the number is user selectable) arrgnd is a data frame with data for all flights and all runways, with a Runway column. I am trying to subset arrgnd into a dat frame for each selected runway, and then combine them back together using the following code: for (j in 1:nr) { # nr = number of

Hi Hadley: Not sure if you received my email, so I am resending it again. I have dealt with this before and I can't remember how it got resolved. It is too much data to reproduce the example below(49.000 records) but all I am after is trying to get the x axis breaks. I want my x axis to go from 27 to 51 and 1 to 25 by 2. I am trying to concatenate the breaks but it sorts the seq() in ascending

Dear R-Help, With the attached data set, I am still getting incorrect bwplots > xyplot(gdf$tt~gdf$OnHour |gdf$Runway, data=gdf) # Is correct > bwplot(gdf$tt~gdf$OnHour |gdf$Runway, data=gdf, horizontal=FALSE) # Puts the boxes on the wrong x-axis values # look especially at 0 and 3. How do I fix this? What is happening? Thanks, Jim Rome

I am trying to calculate quantiles of a data frame column split up by two factors: # Calculate the quantiles quarts = tapply(gdf$tt, list(gdf$Runway, gdf$OnHour), FUN=quantile, na.rm = TRUE) This does not work: > quarts 04L 04R 15R 22L 22R 27 32 33L 33R 0 NULL Numeric,5 NULL Numeric,5 NULL Numeric,5 NULL Numeric,5 NULL 1 NULL

In my main R program, I have source("retaanalysis/Functions/doAirport.R") .... stuff to read data and calculate ads sapply(ads, function(x) {doAirport(x, base)} ) And doAirport has # analyze the flights for a given airport doAirport = function(df, base) { # Get rid of unused runway factor levels (from other airports) df$lrw <- drop.levels(df$lrw) # In gdata package #

Dear list, I am new with ggplot2 and I have spend quiet some time putting together the following code to create the attached plot. However there's still a few things that I'm having trouble with! I would be grateful if someone can tell me how to fix (1) the colour of my bars into grey scales (2) removing the y-axis (species name) on the right figure to avoid duplication, and (3) fix the

Hello, I would like to create a system of tab by means of Ajax (like in netvibes). Somebody would have a track(runway). A library to be used.... Thank you in advance.

Also, it is possible to change "ylim" also? 2012/7/1 li li <hannah.hlx@gmail.com> > Dear all, > I have a few questions regarding the boxplot output from the > "geom_boxplot" function. > Attached is the output I get. Below are my questions: > > 1. How can I define the xlab and ylab myself? > Also I would like to remove

I'm having problems with this example, it is posted with reproduceable code below, both with the normal 0-6 scale and the desired 3-6 scale (with bars removed). How can I get the graph to have the desired 3-6 scale without removing the bars. Thanks! #Data

Hi, I have a long matrix of the following form which I would like to subset according to the third column: [x y z]: a1 c1 1 a1 c1 2 a2 c1 1 a1 c2 1 a1 c2 2 . . . The first two columns a characters ai and cj. I would like to keep all the rows where there are two entries for z, 1 and 2. That is, I want: a1 c1 1 a1 c1 2 a1 c2 1 a1 c2 2 . . . I try to use something like

hi, I m said to display graph in browser using Rook. So i found a code i.e library(Rook) # for web functionality library(ggplot2) # for graphing library(tseries) # used to grab time series from yahoo for stock symbols library(plyr) # data tweaks PIC.DIR = paste(getwd(), 'pic', sep='/') # define the web page form newapp = function(env) { req =

Thanks to Joshua Wiley for turning me on to ggplot2. I am making a plot using this: p <- ggplot(dallas, aes(x = offense_hour)) + geom_bar() + coord_polar() Dallas is a data frame, and offense_hour is a column with chron objects from the chron library. In this case, the chron object was created with the times function. It is only a time (H:M:S) with no date attached. The plot shows up fine,

df is a very large data frame with arrival estimates for many flights (DF$flightfact) at random times (df$PredTime). The error of the estimate is df$dt. My problem is that I want to know the prediction error at each minute before landing. This code works, but is very slow, and dominates everything. I tried using split(), but that rapidly ate up my 12 GB of memory. So, is there a better R way of

Hi, I wanted to generate a plot which is almost like the plot generated by the following codes. category <- paste("Geographical Category", 1:10) grp1 <- rnorm(10, mean=10, sd=10) grp2 <- rnorm(10, mean=20, sd=10) grp3 <- rnorm(10, mean=15, sd=10) grp4 <- rnorm(10, mean=12, sd=10) mydat <- data.frame(category,grp1,grp2,grp3,grp4) dat.m <- melt(mydat) p <-

I'm trying to plot values based on a date and then overlay a histogram also by date. The problem is that both data sets don't have exactly the same dates. So when I add the histogram, any dates that aren't already there from from the scatter plot just get tacked on at the end and are out of order. I tried using scale_x_discrete, but to no avail. Thanks, Jon -- View this message in

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 =