search for: ncdc

...o solve a mistery of reading a seemingly trouble-free text file. The data is temperature reconstruction arranged as a huge grid, preceded by seven "header lines" (which you see better if file is opened in Firefox or Chrome). This is the data (gridded temperature reconstruction) ftp://ftp.ncdc.noaa.gov/pub/data/paleo/historical/europe/casty2007/temp-mon.txt And this is original data description: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/historical/europe/casty2007/readme-casty2007.txt Basically, it is says "space-delimited ASCII format" there ... I tried this: Temperature<-re...

...C                            LC_TIME=English_United Kingdom.1252     attached base packages: [1] stats     graphics  grDevices utils     datasets  methods   base      loaded via a namespace (and not attached): [1] tools_2.15.1 Here is the data set in question: x <- read.csv(file="ftp://ftp.ncdc.noaa.gov/pub/data/gsod/2012/285880-99999-2012.op.gz", skip = 1, sep = "") and "structure" returns some incomprehensible gibberish: > str(x) 'data.frame':   70 obs. of  6 variables:  $ X4àtYd...ÂÚ8.åWD...ëü.ïß.X.QTñVP..                                           ...

Dear HelpeRs: I have a data set in the following format, which will be familiar to those of you working with NCDC climate data. Example: Year <- rep(1:3, each = 3) Year <- c(Year,Year) ID <- rep(1:2, each = 9) Jan <- runif(18, min = 0, max = 20) Feb <- runif(18, min = 0, max = 20) Mar <- runif(18, min = 0, max = 20) var <- gl(3,1,18,label = c("snow","rain","temp&...

....00 6 0.7 0.00 0.75 7 NA 0.00 0.00 8 NA 0.00 0.00 9 0.0 0.00 0.00 10 0.0 0.00 0.00 11 0.0 0.00 0.00 12 0.0 0.00 0.00 13 0.0 0.00 0.00 14 0.0 0.00 0.00 15 0.0 0.00 0.03 16 NA 0.00 0.00 17 NA 0.01 0.00 18 0.0 0.00 0.00 19 0.0 0.00 0.00 20 0.0 0.00 0.00 These are daily precipitation values at NCDC stations, and NA values at station P01 will be filled using multiple imputation and data from highly correlated stations P02 and P08: > f <- aregImpute(~ I(P01) + I(P02) + I(P08), n.impute=10,match='closest',data=d) Iteration 13 > fmi <- fit.mult.impute( P01 ~ P02 + P08 , ol...

Greetings. I am attempting to add NetCDF libraries within R, and have failed. We have R version 2.8, and are running on a 64-bit Redhat Linux 2.6.18 kernel: Red Hat Enterprise Linux Client release 5.2 (Tikanga) Linux halfmoon.ncdc.noaa.gov 2.6.18-92.1.22.el5 #1 SMP Fri Dec 5 09:28:22 EST 2008 x86_64 x86_64 x86_64 GNU/Linux I have run the installation instructions found at "http://www.image.ucar.edu/Software/Netcdf/", but not successfully. I'm wondering if you can give some advice that will change our outco...

...skimmed the documentation on both > packages. I was hoping to get a little guidance from the > user community before proceeding further. > > In case anyone is interested in my particular problem: I'm > looking at some (surface) temperature data from NOAA: > http:// cdo.ncdc.noaa.gov/ulcd/ULCD It is (irregular) time > series format. The NOAA data reports year, month, date, > hour, and minute. I want to group the data into hourly > chunks. However, sometimes there are multiple observation per hour > -- i.e an observation at 3:45 and 3:56. Also, someti...

...ing R for 13 year olds from my query on this list - discusses some additional investigation I did - the approach I am currently using (which will likely incorporate your suggestions for R) SUGGESTIONS - find relationship between monthly heating bills and temperature. For data see http://lwf.ncdc.noaa.gov/cgi-bin/res40.pl?page=climvisgsod.html - generate fractal images, get chaotic behavior from a simple iterated function, or simply plot 3-d surfaces of sines and cosines - rep('Dad is a task master', 5000) and paste(c('Joe','Sally','Roger'),'is no...

Hi, I just installed ROracle and RDBI. The connection to the database seems to work also. My problem is when I am selection rows that really exist in the database, it is returning nothing. Where should I look to see what could be my problem? Thank you very much, Mathieu > drv <- dbDriver("Oracle") > summary(drv, verbose=TRUE) <OraDriver:(6721)> Driver name:

...; > 12 0.0 0.00 0.00 > > 13 0.0 0.00 0.00 > > 14 0.0 0.00 0.00 > > 15 0.0 0.00 0.03 > > 16 NA 0.00 0.00 > > 17 NA 0.01 0.00 > > 18 0.0 0.00 0.00 > > 19 0.0 0.00 0.00 > > 20 0.0 0.00 0.00 > > > > These are daily precipitation values at NCDC stations, and > > NA values at station P01 will be filled using multiple > > imputation and data from highly correlated stations P02 and P08: > > > > > f <- aregImpute(~ I(P01) + I(P02) + I(P08), > > n.impute=10,match='closest',data=d) > > Iteratio...