similar to: surprising dates

Hello, This is a standard example in which I read the time series data from a csv file and create a zoo object: x0 <- read.csv(file="CPI.csv", header=TRUE) time_0<-as.yearmon("1981-01")+(0:371)/12 x0zoo<-zoo(x0, time_0) The data look like this: TIME CPI CPI_food CPI_Clothes CPI_House CPI_Rent 198101 62.1 55.34 103.45 65.24 61.43 198102 63.16 56.95

I compiled a program and standard library using clang/LLVM and found the results interesting: text data bss dec hex filename 141312 4076 16668 162056 27908 bzip2.arm 131764 4076 16668 152508 253bc bzip2.armv7 134748 4048 16624 155420 25f1c bzip2.i386 259112 4028 16732 279872 44540 bzip2.microblaze 168044 4040 16816 188900 2e1e4

I encountered the above problem. I went to the help files and discovered the reason why. My insight as to why it was happening did not immediately provide me with a solution by which I could accomplish what I needed to do. I turned to the help archive. I encountered a thread on which somebody pointed this problem out and was mildly castigated for not having looked at the help file. Alas no

On Thursday, December 08, 2011 02:46:39 AM Csaba Raduly wrote: > On Wed, Dec 7, 2011 at 9:43 PM, Richard Pennington wrote: > > I compiled a program and standard library using clang/LLVM and found the > > results interesting: > > > > text data bss dec hex filename > > 141312 4076 16668 162056 27908 bzip2.arm > > 131764 4076

On Wed, Dec 7, 2011 at 9:43 PM, Richard Pennington wrote: > I compiled a program and standard library using clang/LLVM and found the > results interesting: > >   text    data     bss     dec     hex filename >  141312    4076   16668  162056   27908 bzip2.arm >  131764    4076   16668  152508   253bc bzip2.armv7 >  134748    4048   16624  155420   25f1c bzip2.i386 >

On Thu, Dec 8, 2011 at 11:46 PM, Richard Pennington wrote: > On Thursday, December 08, 2011 02:46:39 AM Csaba Raduly wrote: >> On Wed, Dec 7, 2011 at 9:43 PM, Richard Pennington  wrote: >> > I compiled a program and standard library using clang/LLVM and found the >> > results interesting: >> > >> >   text    data     bss     dec     hex filename

hi, i am having trouble getting a particular time series to plot. this is what i have: > class(irradiance) [1] "ts" > irradiance[1:30] 197811 197812 197901 197902 197903 197904 197905 197906 1366.679 1366.729 1367.476 1367.739 1368.339 1367.883 1367.916 1367.055 197907 197908 197909 197910 197911 197912 198001 198002 1367.484 1366.887 1366.935

Hello all! I have a problem to extract values greater that for example 1820. I try this code: x[x[,1]>1820,]->x1 Please help me! Thank you! The data structure is: structure(c(2.576, 1.728, 3.434, 2.187, 1.928, 1.886, 1.2425, 1.23, 1.075, 1.1785, 1.186, 1.165, 1.732, 1.517, 1.4095, 1.074, 1.618, 1.677, 1.845, 1.594, 1.6655, 1.1605, 1.425, 1.099, 1.007, 1.1795, 1.3855, 1.4065, 1.138, 1.514,

Gordon Henriksen wrote: > On 2008-06-11, at 13:16, Gary Benson wrote: > > Duncan Sands wrote: > > > Can you please attach IR which can be compiled to an executable > > > (and shows the problem). > > > > I've been generating functions using a builder and then compiling > > them with ExecutionEngine::getPointerToFunction(). Is there some > >

Suppose we observe N individuals, for each of which we have a time-series. How do we correctly create a lagged value of the time-series variable? As an example, suppose I create: A <- data.frame(year=rep(c(1980:1984),3), person= factor(sort(rep(1:3,5))), wage=c(rnorm(15))) > A year person wage 1 1980 1 0.17923212 2 1981

Hi, I got following error in write.table() : > write.table(dataa, file="c:/data1.csv", row.names=F, col.names=T, sep=",") Error in file(file, ifelse(append, "a", "w")) : cannot open the connection In addition: Warning message: In file(file, ifelse(append, "a", "w")) : cannot open file 'c:/data1.csv': Permission denied

Hi people, I need reorganization several databases. I would like to know if that is possible in R. My problem is like that: original data base: Age x1980 x1981 1 5 8 3 7 9 5 9 15 7 11 20 future data base year age x 1980 1 5 1980 3 7 1980 5 9 1980 7 11 1981 1 8 1981 3 9 1981 5

Hello, I have a data set with 10 countries, 10 sectors of public policy and 15 years like country sector year a aa 1980 a aa 1981 ... a bb 1980 a bb 1981 ... b aa 1980 b aa 1981 ... b bb 1980 b bb 1981 .... with 1500 observations. My cases are the couple country/sector. So, I want to have 100 cases over 15 years. (both country and sector are factors) I want to assign to each case a label

Dear Sirs, I am Professor at Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh, India. While taking classes, I found the *by() *function producing following error when I use FUN=mean or median and some other functions, however, FUN=summary works. Given below is the output of the example I used on a built-in dataset "mtcars", along with error message reproduced herewith: >

I think you are not using the best function for what your intentions are. Try: > by(data=mtcars, INDICES=list(as.factor(mtcars$am)), FUN=colMeans) : 0 mpg cyl disp hp drat wt qsec vs 17.1473684 6.9473684 290.3789474 160.2631579 3.2863158 3.7688947 18.1831579 0.3684211 am gear carb 0.0000000

Hello, I get > summary(E) level nodes ave_nodes time Min. : 1 Min. : 1.00 Min. : 10.71 Min. : 0.0000 1st Qu.: 237414 1st Qu.: 2.00 1st Qu.: 19.70 1st Qu.: 0.0100 Median : 749229 Median : 3.00 Median : 27.01 Median : 0.0100 Mean : 767902 Mean : 49.85 Mean : 98.89 Mean : 0.2296 3rd

I have this problem: my screen seems not wide enough in R. My true computer monitor is very wide, so I wish that I can line up the text when I stretch it wide. i.e.: This is typical R returns: > summary(a) V1 V2 V3 V4 F:625 Min. :20020103 EMC : 34 Min. : 9300300 L:944 1st Qu.:20020530 BRW : 27 1st Qu.: 9323865

Dear All, Thanks for your help. However, I would like to draw your attention to the following: Actually, I was replicating the Example 2.3, using the dataset "brainsize.txt" given in Section 2.3.3 ("Summarize by group") at page 55, of a famous book "R by Example" written by "Jim Albert and Maria Rizzo" published in Springers (2012) in a Use R! Series. The

Greetings all, I have two questions. I have a data set that is arranged in the example below. I wish to obtain a plot of the performance of each ID over Year on v1. It's not clear how I set this up? ID Year V1 1 1980 1 1 1981 2 1 1982 6 1 1983 4 2 1980 5 2 1981 5 2 1982 5 2 1983 6 Also,I would like to transpose the data to have the

Hi I am working with this data: my data summary is: > summary(spi) open high low close volume Min. :4315 Min. :4365 Min. :4301 Min. :4352 Min. : 0 1st Qu.:4480 1st Qu.:4497 1st Qu.:4458 1st Qu.:4475 1st Qu.:11135 Median :4609 Median :4631 Median :4594 Median :4614 Median :14439 Mean :4620