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Dear all, I have a lot of problems on R-programming. for example my csv. file is .. Date wrfRH wrfsolar wrfwindspeed wrfrain wrftd wrfta 21/10/2010 92.97 22.11 53.27 0 1546.337861 61.00852664 22/10/2010 87.35 21.99 40.89 0 1300.408288 62.85352227 23/10/2010 88.38 21.71 28.04 0.01 1381.768284 54.80594493 24/10/2010 92.32 15.45 22.38 0.51 1113.90981 39.46573663 25/10/2010 93.42

Hi, I am new to R...a recent convert from SAS. I have a dataset that looks like this: SEQ A1 A2 A 532.5 554.5 B 25.5 35.5 C 265.2 522.2 D 245.55 521.56 E 546.52 141.52 F 243.25 32.56 G 452.55 635.56 H 15.14 16.54 I 543.4 646.56 J 54.4 654.5 K 646.5 64.54 L 645.4 614.46 M 646.54 634.46 I want to make a histogram

Hi there, > Value=c(709,679,699,657,594,677,592,538,476,508,505,539) > Lard=rep(c("Fresh","Rancid"),each=6) > Gender=rep(c("Male","Male","Male","Female","Female","Female"),2) > Food=data.frame(Value,Lard,Gender) > Food Value Lard Gender 1 709 Fresh Male 2 679 Fresh Male 3 699 Fresh

Hi all, Apologies if this has been raised before ... R's tapply is very fast, but if X has names in this example, there seems to be a huge slow down: under 1 second compared to 151 seconds. The following timings are repeatable and are timed properly on a single user machine : > X = 1:100000 > names(X) = X > system.time(fast<<-tapply(as.vector(X), rep(1:10000,each=10), mean))

Forgive what may seem to be a trivial question/problem. Below is some simple R 1.2.1(Windows) code with output. > summary(mammals, digits=10) Name Body.Weight Brain.Weight Red Fox :1 Min. : 3.0 Min. : 26.0 Pig :1 1st Qu.: 35.5 1st Qu.: 138.5 Man :1 Median : 100.0 Median : 406.0 Kangaroo:1 Mean : 761.2 Mean :1000.0 Jaguar :1 3rd

Dear R-users, I would like to know how could I read a file with different lines lengths. I need read this file and create an output to feed my database. So after reading I'll need create an output like this "INSERT INTO TEMP (DATA,STATION,VAR1,VAR2) VALUES (20100910,837460, 39,390)" I mean, each line should be read. But I don`t how to do this when these lines have different

Dear all I have a dataset examining the probability of a population surviving (calculated from a logistic regression) of a species over a 200yr period. The predictor variables are either continuous but non-normal (e.g. temperature, oxygen) or categorical (e.g. channelisation), unfortunately I also have a large amount of missing values. Year Decline Temperature Oxygen Channelisation 1800

Current sources (git-b1b6caf) were compiled with GCC 4.8.2 and GCC 4.9.0 with various -msseN options (the default is -msse2). Then I took two WAV files (one is 16-bit and the other is 24-bit) and compressed them using best compression mode. The results are in the table below. (please remember that the resulting value is an encoding time, not encoding speed) CPU: Intel Core i7 950 (up to SSE4.2)

  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

Dear all, I find some troubles about how to extact the row from csv. file by using if-statement condition. I want to extract the row if the rainfall is greater than the mean of rainfall and using the wrfta divided into 3 groups that's rainfall greater than mean -> group A ( create file group A_rain) -> groupB ( create file group B_rain)

I'm having problems with samba using the 2K PDC. I've gotten it to successfully join the 2K PDC via smbpasswd. Winbindd is running and I can ping it. I've tried googling, but was unsuccessful at finding something useful. The Windows 2K event viewer shows: The session setup from the computer DATASRV failed to authenticate. The name of the account referenced in the security database is

hi all I have this dataframe (created as a reproducible example) mydf<-structure(list(date_time = structure(c(1508238000, 1508238000, 1508238000, 1508238000, 1508238000, 1508238000, 1508238000), class = c("POSIXct", "POSIXt"), tzone = ""), direction = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L), .Label = c("A", "B"), class =

R gurus, I have a data set that looks something like this: Site Species DBH #Vines G PLOC 45.9 4 G ACNE 23.3 1 G ACNE 12.0 0 G FRAM 35.9 5 G AEGL 11.2 2 N PLOC 77.3 12 N JUNI 78.6 7 N ACNE 18.9 1 N ACNE 15.7 3 N ACRU 35.5 4 H ACSA2 24.1 6 H ULAM 35.2 7 There are 730 individual trees (22 species) from four sites in the actual data set. I would like to create a second data frame that

Hello I would like to transfer some Splus functions in R. But I have a problem first about this assignation in Splus : xnom <- deparse(substitute(x)) I am a bad programmer : I don't understand the R help How to modify these functions ? Thank you very much for your help Here are the four functions and a data test

Hi R user, I have two dataframe with different variables and coordinates : X Y sp bio3 bio5 bio6 bio13 bio14 1 -70.91667 -45.08333 0 47 194 -27 47 12 2 -86.58333 66.25000 0 16 119 -345 42 3 3 -62.58333 -17.91667 0 68 334 152 144 28 4 -68.91667 -31.25000 0 54 235 -45 25 7 5 55.58333 48.41667 0 23 319 -172 23 14 6 66.25000

Hi there, I got a problem when trying to read in a .cel file using ReadAffy(). R codes: require(affy) ReadAffy(filenames="CH1.CEL") It failed and I got the error, Error in read.celfile.header(as.character(filenames[[1]])) : Is CH1.CEL really a CEL file? tried reading as text, gzipped text, binary, gzipped binary, command console and gzipped command console formats Also, I tried

Hi, Segate has released the ST3750640AS 750 GB sata drive. I would like to take two of these and plug in to a the Nvidia Nforce 4 Sata I/F an run Zfs on . ( I have installed SXCR build 40 on a shuttle SNP25 PC last weekend with some install problems I reported in the install-discussionlist ) I there any limitations anywhere in the path to the drive that would

Hello, Using base R only, the following seems to do what you want. with(mydf, ave(speed, date_time, type, FUN = weighted.mean, w = n_vehicles)) Hope this helps, Rui Barradas Em 09-11-2017 13:16, Massimo Bressan escreveu: > Hello > > an update about my question: I worked out the following solution (with the package "dplyr") > > library(dplyr) > > mydf%>% >

Hola. Siguiendo a Mittal (2001); R Graph Cookbook creo haber logrado construir el gráfico de barras que buscada. La matriz que utilizo para el "height" va adjunta. Y mi sintaxis: barplot(t(barras), col=col.segmentos, border=F , names.arg=Meses, las=2, cex=.75, cex.axis=0.8 , ylab="% del Segmento sobre el Total") legend(.5, .2, ncol=5, cex=.75,

Hi: I need some help. I am ploting a bar graph but I can't adjust my x axis scale I use this code: i <- qplot(ForkLength,Number,data=FL,geom="bar") i + geom_bar(colour="blue",fill="grey65") # too crowded FL_dat <- ggplot(FL,aes(x=ForkLength,y=Number)) + geom_bar(colour="green",fill="grey65") FL_dat +