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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,

...> sapply(ads, function(x) {doAirport(x, base)} ) Error in eval(expr, envir, enclos) : object 'lblx' not found In addition: Warning message: 'mode(onefile)' differs between new and previous ==> NOT changing 'onefile' What am I doing wrong? Thanks, Jim E-mail: jamesrome at gmail.com URL: http://jamesrome.net

I need to make a bunch of PDF files of histograms. I tried gatelist = unique(mdf$ArrivalGate) for( gate in gatelist) { outfile = paste("../", airport, "/", airport, "taxiHistogram", gate, ".pdf", sep="") pdf(file = outfile, width = 10, height=8, par(lwd=1)) title=paste("Taxi time for Arrival Gate", gate, "by

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. One (arr) has all arrivals to an airport for a year, and the other (gw) has the dates and quarter hour of the day when the weather is good. arr has a Date and quarter hour column. >names(arr) [1] "Date" "weekday" "hour" "month" "minute" [6] "quarter" "ICAO"

I successfully combined my data frames, and am now on my next hurdle. I had combined the data and quarter, and used tapply to count the entries for each unique date/quarter pair. ar= tapply(ewrgnd$gw, list(ewrgnd$dq), sum) #for each date/quarter combination sums the gw (which are all 1) dq=row.names(ar) spl=strsplit(dq) But I need to split them back into the separate date and quarter. So I used

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),

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 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"

On a Windows platform I am trying to count the number of lines in a file. In a DOS window, the following works: C:\Users\jar>findstr /R /N "^" D:\my_dir\my_file | find /C ":" 5317 (it works with double \\ also) But in R, I need to make this string up with the file name I get from file.choose(): filename = file.choose() #get the number of lines in the file # first make a

Dear kind list people: I have the following code: >hours [1] "0" "1" "2" "4" "5" "6" "7" "8" "9" "10" "11" "12" "13" "14" "15" [16] "16" "17" "18" "19" "20" "21" "22"

I am trying to overlay raw data with a boxplot as follows: pp = qplot(factor(time, levels=0:60, ordered=TRUE), error, data=dfsub, size=I(1), main =" title", ylab="Error (min)", xlab="Time before ON (min)", alpha=I(1/10), ylim=c(-30,40), geom="jitter") + facet_wrap(~ runway, ncol=2) +

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

In my code, I calculate the maximum values with 2 factors using maxr=with(arrdf, tapply(rate,list(weekday,quarter), max, na.rm=T)) and I want to write out the file so that Excel can read it. I used write.table(maxr, fname, sep=",", col.names=TRUE, row.names=TRUE, quote=TRUE, na="0") which works, and yields something like

I have a large data set of airport data and wish to analyze it by hour and day of the week. hour and day of the week are factors. I can do something such as: histogram(~(Arrival.Val) | DAY*Hour, type="count", breaks=60) which displays the data the way I want it in principle, but the plots are too small to read. I added layout=c(7,6,4) to the argument list, but then I only get the first

Hello Everyone,   Learning about R and its wonderful array of functions. If it's not obvious, I usually try to find out what a function stands for. I think this helps me remember better.   One function that has me stumped is "sink." Can anyone tell me if this stands for something?   Thanks,   Paul         __________________________________________________ [[alternative HTML

On my Mac (Snow Leopard and R64), I had been using Rcmdr nicely. But now when I do > library(Rcmdr) the tk libraries load, but the Rcmdr window never appears. > library(Rcmdr) Loading required package: tcltk Loading Tcl/Tk interface ... > And if I try to do anything else, R goes to 100% cpu and hangs. How do I recover? Thanks, Jim Rome

I am drawing a density histogram, and want to label the plots with the mean using ltext(). But I need the x,y coordinates to feed into ltext, and I can't calculate them easily from my data. Is there a way to get the x and y ranges being used for the plot, so I can put the text at the correct position in the panel.function? Thanks, Jim Rome

histogram(~(Arrival4) | as.factor(Hour), type="count", breaks=16,ylab="Arrival Count", xlab="Arrival Rate/4",main="Friday EWR A22R D22L Configiration", layout=c(6,4), par.strip.text=list(cex=0.7)) Why do I get plots with different bar widths? See attached. Thanks, Jim Rome -------------- next part -------------- A non-text attachment was scrubbed...

I am creating a lattice plot with with(ordgdp, xyplot(delivery~AAR | GDP_ID, xlab="AAR", ylab="Actual Arrival Rate")) which works, and gives me 48 plots, one for each GDP_ID. But I would like to put the number of hours that each GDP lasted on the relevant plot. This is given by the following table: >gdphrs GDP_ID 21273 21288 21293 21294 21297 21303 21361 21399 21415 21436