search for: 23.8

I have a data set like this: > head(FormatedData) ID Target Actual Date Time 1 2030 0 -57.0 12/20/08 17:03:00 2 2030 90 90.0 12/20/08 18:41:00 3 2030 45 43.8 12/21/08 14:36:00 4 2030 0 -23.8 12/21/08 19:30:00 5 2030 90 90.2 12/21/08 21:48:00 6 2030 45 48.6 12/22/08 13:02:00 I wan to convert the format of Date and Time, so I did this: pdate

Dear All, I'm happily extracting data of temperature from an oracle db under R via RODBC. After manipulating the extracted data I put them into a data.frame 'dati' which is as follows: > dati DATA tm. UDINE/RIVOLTO tm.TORINO/CASELLE 1 2005-07-01 22.35 23.80 2 2005-07-02 22.70 22.85 3 2005-07-03 23.80

Dear List, I am not sure how should i optimize a log-likelihood numerically: Here is a Text book example from Statistical Inference by George Casella, 2nd Edition Casella and Berger, Roger L. Berger (2002, pp. 355, ex. 7.4 # 7.2.b): data = x = c(20.0, 23.9, 20.9, 23.8, 25.0, 24.0, 21.7, 23.8, 22.8, 23.1, 23.1, 23.5, 23.0, 23.0) n <- length(x) # likelihood from a 2 parameter Gamma(alpha,

Dear all, I have been given a data something like below: Dat = "2 3 28.3 3.05 8 3 3 22.5 1.55 0 1 1 26.0 2.30 9 3 3 24.8 2.10 0 3 3 26.0 2.60 4 2 3 23.8 2.10 0 3 2 24.7 1.90 0 2 1 23.7 1.95 0 3 3 25.6 2.15 0 3 3 24.3 2.15 0 2 3 25.8 2.65 0 2 3 28.2 3.05 11 4 2 21.0 1.85 0 2 1 26.0 2.30 14 1 1 27.1 2.95 8 2 3 25.2 2.00 1 2 3 29.0 3.00 1 4 3 24.7 2.20 0 2 3 27.4 2.70 5 2 2 23.2 1.95

I have a set of modeled climate data recorded at irregular intervals. The format of the data is such that there are monthly measurements for the years 2000, 2020, 2050, 2080, etc. Therefore I have 12 regular records, a skip of some number of years, then 12 more monthly records, another skip, and so on.... I created a dataframe from .txt with the read.table() command. For starters I need

Hi, Can someone explain this error below, I don't understand why the 2 int columns are associated to make a row name > horse1.data<-read.csv("cte2.csv", header=TRUE, sep=";") > h1.dat<-mlogit.data(data=horse1.data,choice="win",chid.var="raceid",alt.var="nbChev",shape="long") Error in `row.names<-.data.frame`(`*tmp*`,

Hi, Being a R-newbie I am wondering how to calculate a correlation coefficient (preferably with an associated p-value) for data like: > d[,1] [1] 25.5 25.3 25.1 NA 23.3 21.5 23.8 23.2 24.2 22.7 27.6 24.2 ... > d[,2] [1] 0.0 11.1 0.0 NA 0.0 10.1 10.6 9.5 0.0 57.9 0.0 0.0 ... Apparently corr(d) from the boot-library fails with NAs in the data, also cor.test cannot cope with a

Dear all- I have a dataset (see a sample below - but the whole dataset is June 2005 - June 2008). The "LST" format is "YYMMDDHHmm" and I would like to get the hourly average of the "mph" for the summer months (spanning all years). I have been trying to use "aggregate" but am not having much success at all! any thoughts would be greatly appreciated.

Hi guys, We've got a BNT-1000AP (powercom) BlackKnight UPS that works with the KIN1500AP model in the powercom driver. Well, almost. It seems the input frequency and the battery charge is swapped around: # upsc blackknight at localhost battery.charge: 46.5 driver.name: powercom driver.parameter.manufacturer: BlackKnight driver.parameter.modelname: BNT-1000AP driver.parameter.port:

  Hi r-users,   I would like to use gev and my data (annual rainfall ) is as follows:   > head(dat,20) A B C D E F G H I J 1 45.1 41.5 58.5 50.1 46.0 49.1 37.7 49.1 59.8 54.0 2 50.3 39.8 49.4 56.4 49.4 48.8 42.1 49.8 49.4 58.3 3 41.7 39.3 44.6 39.1 35.7 41.5 40.8 40.8 38.5 45.6 4 50.7 33.9 48.4 28.2 35.5 39.1 61.4 17.0 30.7 38.3 5 39.3 30.6 46.9 23.8 25.8

I don't know either. Perhaps someone else on the list who uses that _contributed_ package will know. Please be aware that it is both possible and preferred that you make reproducible examples so others can troubleshoot. See any of [1][2][3] [1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example [2] http://adv-r.had.co.nz/Reproducibility.html [3]

I would like, for possibly invalid reasons, to have the bars of the barchart in each panel to be the same colour, but with *different* colours from panel to panel. Can this be done? If so, how? I've read the help as much as I am capable of, and done an RSiteSearch () without becoming any wiser. Here's an example of what I'd like to do: X <- structure(list(y = c(2.8, 6.7,

I report here that, in RStudio in Data Scientist Workbench, lapply(raw(2^31), function(x) NULL) failed after not so long time. > res <- lapply(raw(2^31), function(x) NULL) Error in FUN(X[[i]], ...) : long vectors not supported yet: memory.c:1652 > sessionInfo() R version 3.3.1 (2016-06-21) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Debian GNU/Linux stretch/sid locale: [1]

Hi everyone, I was trying to mode the following exercise using R. The question: Set up a one pool model using numericintegration. The model will run from time 1 to time 30 using a time step of 1.The pool (A) will be fed by flux "inA" at a rate of 5 units per hour anddrained by flux "outA" at a rate of 20% per hour. At time 0, A has 5units. At time 30, what is the pool size of

Dear R users, I'm trying to perform flexible discriminant analysis (fda) with method bruto. I applied the fda function on my training data: bruto.fda <- fda (fda.formula,data=train.data) where fda.formula is: PRES ~ VA_D123 + VA_D124 + VA_D127 + VA_DARU + VA_DCAN + VA_DFON + VA_DLAP + VA_DRID + VA_DRIR + VA_VVEG + VA_WDIN + VA_DIF3 + VA_DIF4 + VA_DIF5 + VA_CAAC + VA_CABC +

Hello, I need to demux video files created with ffmpeg2theora 0.28+svn18147 I have ogminfo v1.5 and getting this error (ogminfo.c) OGG stream 1 is of an unknown type (bad header?) (ogminfo.c) OGG stream 2 is of an unknown type (bad header?) (ogminfo.c) (a1/serial 1092562206) Vorbis audio (channels 2 rate 48000) Is possible, that ogminfo is older then ffmpeg2theora ? Or what can be the reason?

hi all- I am doing some research, have never used R before until today and need to understand the following program for a project. if some one could PLEASE help me understand this program ASAP i would GREATLY appreciate it (any syntax/ statistic comments would be great) PLEASE PLEASE HELP!! THANKYOU!!! -on a side note, it seems to me that R doesnt include the pv, and it was calculated

Hello, There's a typo in your call to mlogit.data, it should be alt.var="nbChev", not alt.var="noChev". Then the error is different. You should check the call arguments to see if they make sense. Hope this helps, Rui Barradas Em 28-07-2017 13:14, sandoz at free.fr escreveu: > I re post my question with the csv problem fixed. > > Can someone explain the

Hi, Recently I've done some experiments on the LLVM/Clang code and discovered that many of our source files often include unnecessary header files. I wrote a simple tool that eliminates redundant includes and estimates benefits of doing it, and the results were quite nice: for some files we were able to save 90% of compile time! I think we want to apply some of the cleanups I found, but

Hello R Users, I am new to R. I have two data sets i) TOMS aerosol optical depth(AOD) and ii) TOMS ozone(O3). > > AOD data is on 1x1 grid and O3 data is on 5x5 grid. > > First I want to read AOD and O3 as it is and then I want to regrid AOD on > 5x5 grid as O3. > > Reading is first problem. > > FIRST PROBLEM READING AOD: > > AOD data is in following format: >