similar to: merging data frames gives all NAs

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"

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"

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 #

Hi Listers, I am producing some graphics that the commands are in a FUNCTION... The problem is that I end up viewing just last graphic and in my FUNCTION there are 4 graphics with the PAR command function... Like those below... How do I view/get the other 3 graphics? Any help? Thanks in advance... histogram<-par(mfrow=c(1,2)) hist(rw_mean_app,main='Bootstrap Method

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 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),

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

Ok, I searched but couldn''t find anything and I even tried the RoR IRC channel with no help. I get this error: uninitialized constant Airport I used this code which I got from the RoR site. helper :sorting def list @sorter = SortingHelper::Sorter.new self, %w(icao host_id name), @params[''sort''], @params[''order''], ''icao'',

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

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.

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) +

Hey, I'm trying to build something like this http://flowingdata.com/2011/05/11/how-to-map-connections-with-great-circles/ but with my own data in csv files. The code runs well if I use the same csv files as the author, but with mine , this is what I get *Code* library(maps) library(geosphere) map("world") xlim <- c(-180.00, 180.00) ylim <- c(-90.00, 90.00)

I am fairly new to R and am plotting flight data on a map. Everything is working well except the size of the map is really too small to show the data effectively and I can't seem to figure out how to make the output map larger. Do I need to change the device characteristics or is it a map.??? call. Here is the code: library(maps) library(geosphere) airports <-

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

Dear all, I like tinc and am using it widely in the company I work for. Currently I'm experimenting with 'switch' mode & have a problem with packets being forwarded. I've tried possible combinations with next parameters: a) Broadcast = direct b) Forwarding = kernel c) DirectOnly = yes From the documentation, it looks like (a) should be enough to stop packet forwarding

Dear All, Folks at the West Bengal University of Technology has set up a mirror to distribute R and associated packages. Here is the URL: http://mirror.wbut.ac.in/CRAN This will be helpful for R users in South Asia and the adjoining countries. I have yet to see the site featured in the CRAN list of mirrors. What needs to be done? For those of you who are impatient and would like to give it a

I'm writing a program that will tell me whether I should wear a coat, so I'd like to be able to download daily weather forecasts and daily reports of recent past weather conditions. The NOAA has very promising tabular forecasts (http://forecast.weather.gov/MapClick.php?CityName=Ithaca&state=NY&site=BGM&textField1=42.4422&textField2=-76.5002&e=0&FcstType=digital),

Peter, that finally worked. hrs = seq(1, 24, 1) g = bwplot(tt~OnHFact |Runway, data=gdf, ylab="Taxi time (min)", main=title, xlab="Hour of day", par.strip.text=list(cex=0.7), rot=90, xlim=c(0, 25), drop.unused.levels=FALSE, scales=list(x = list(rot=90, cex=.6 ,at=hrs, labels=hrlabs )), panel =

On Wed, Dec 10, 2014 at 7:36 AM, Ben Skeggs <skeggsb at gmail.com> wrote: > On Wed, Dec 10, 2014 at 4:26 AM, Andy Ritger <aritger at nvidia.com> wrote: >> Hi, > Hey Andy, > >> >> The VBIOS on GM20x GPUs uses a slightly updated version of the DCB. >> I've posted an updated DCB spec here: >> >>