similar to: Data length mismatch.

I have a simple command to export a data.frame: write.csv(output, "TotalPredicted2008.dat") The structure of the data.frame can be seen with: > head(output) DayOfYear Sales 1 1 1429 2 2 3952 3 3 3049 4 4 2844 5 5 2219 6 6 2340 But it seems that the index is getting written out to the file. The first few lines look like:

I have a list that is generated from the resape package function 'cast'. It consists of three columns, Sku, DayOfYear, variable it is generated like: r2007 <- cast(m2008, DayOfYear ~ variable | Sku, sum) Now DayOfYear can range from 1:365 but there are not necessarily that many rows in the list. What I want to do is make every row in the list of lenght 365 and have the values

I have mange to use the library reshape to give me data structures that I want. Specifically: m2008 <- melt(t2008, id.var=c("DayOfYear","Category","SubCategory","Sku"), measure.var=c("Quantity")) m2007 <- melt(t2007, id.var=c("DayOfYear","Category","SubCategory","Sku"),

I have a set of data that is basically sales figures for a given year. It has columns for Yeaqr, Day Of Year, Sku, SubCatetory, and Category. The first few lines of data look like: Year DayOfYear Sku Quantity CatId Category SubCategory 1 2007 1 100091 1 10862 HOLIDAY Christmas 2 2007 1 100138 1 11160 PET COSTUMES Famous

I have a list List(Sku=" ", Shape=1, Scale=3, DayOfYear=daylist) Note: picture daylist as c(2,3,4,3) it is a list with variable length. Then I have a list of lists al <- c(al, List(List(Sku=" ", Shape=1, Scale=3, DayOfYear=daylist)) Note: same comment on daylist as above. So far this creates a list of lists just how I want it. If I do al[1] I get each member and the

I have some data that I read in via read.csv: sales2007 <- read.csv("Total2007.dat", header=TRUE) The data looks like: > sales2007[1:605,] Year DayOfYear Sku Quantity CatId Category SubCategory 1 2007 1 100091 1 10862 HOLIDAY Christmas 2 2007 1 100138 1 11160 PET COSTUMES Famous (Licensed) 3 2007

This hopefully is trivial. I am trying to reshape the data using the reshape package. First I read in the data: a2009 <- read.csv("Total2009.dat", header = TRUE) Then I trim it so that it only contains the columns that I have interested in: m2009 <- melt(a2009, id.var=c("DayOfYear","Category","SubCategory","Sku"),

been puzzling over this for a day. Summary integer variable to use with histogram, 170,000 rows. Value is day of year. Hist works, lattice histogram with nint does not work (spurious spikes in display), lattice histogram using breaks=c(0:365) works fine. Spike values appear to be sum of two adjacent bins. Want to know if this is a familiar problem, and what the recommended work-around is.

I seem to remember this topic coming up before so I decided to look at the archive and realized that I didn't know where it was. Is there a searchable archive for this list? Thank you. My question is calling a function from within a function. I have smerge <- function(d1,d2) { temp <- merge(d1,d2,all=TRUE,by.x="DayOfYear",by.y="DayOfYear") return

I have a beginner question. After I finally get the data to a data.frame that I can work with I have the following a data frame that is fairly long: > length(r2007) [1] 17409 If I look at the first element: > r2007[1] $`100009` DayOfYear Quantity 1 66 1 2 128 1 3 137 1 4 193 1 Now how do I get the length of this list (actually it is

Hello, I am having trouble figuring out how to convert a Day of Year integer back into a Date format. For example I have the following: date <- c('2008-01-01','2008-01-02','2008-01-03','2008-01-04','2008-01-05','2008-01-06','2008-01-07',

Hi All We have a strange issue with our hosted asterisk server running on Debian Internal calls btween extensions using g729 give one way audio As soon as we change the codec to ALAW the issues goes away. Any ideas how to fix this? Outbound calls via a trunk work fine with g729 Kind Regards Andrew Colin Converged Data (Pty) Ltd. Licensed Telecoms Operator : (0258/IECS/JAN/09)

Hello, I'm running a multimodel analysis which involves fitting several GAM models as implemented in package mgcv. The issue I'm having is that when I try to fit my model, gam gives me the following error message: 'Error in initial.sp(w * X, S, off) : S[[2]] matrix is not +ve definite.' The strange part of this is that the error message stops my model fitting function when run

I am just an Asterisk newbie doing a test install. I am using 2 X-Lite clients and have configured them according to the wiki on voip-info. A warning is still displayed on the Asterisk server console saying that I should disable RFC3389 on the client, even after I changed the Transmit Silence to yes. I am able to connect and call the other client, but when I do no audio is being transmitted by

I have search the archive and I could not find what I need so I will try to ask the question here. I read a table in (read.table) a <- read.table(.....) The table has column names like DayOfYear, Quantity, and Category. The values in the row for Category are strings (characters). I want to get all of the rows grouped by Category. The number of unique category names could be around 50. Say

Another one at block.c:176: --- Title: We The People Artist: DJ Lithium Presents Bitstream is 2 channel, 44100Hz Time: 58:29.07, Bitrate: 100.1 Program received signal SIGSEGV, Segmentation fault. [Switching to Thread 1024 (LWP 27207)] _vds_shared_init (v=0xbffff73c, vi=0x4024efe0, encp=0) at block.c:176 176 b->modebits=ilog2(ci->modes); (gdb) bt #0 _vds_shared_init

Dear All, I am trying to analysis traffic data with one timestamp column and speed column. This data set contains six years data; for each year, I want to make a matrix in (day of the year) * (hour) 0 1 2 . . . 23 1 2 . . 365 However random day's record is missing(e.g. there are 40 missing records in 2005 data set), when I tried to use tapply function, matrix came out is

Dear all I try to persuade if statement in my function to work as I want (but I am not very successful:( My question is why my function with if statement is evaluated correctly in case of atomic variables and incorrectly in case of vector variables. Here is an example: #function with if statement fff <- function(otac,sklon) { test <- (otac *

Hope one of you could help with the following question/problem: We would like to explain the spatial distribution of juvenile fish. We have 2135 records, from 75 vessels (code_tripnr) and 7 to 39 observations for each vessel, hence the random effect for code_tripnr. The offset (‘offsetter’) accounts for the haul duration and sub sampling factor. There are no extreme outliers in lat/lon. The model

I'm trying to build forecasting equation from weights of 2-2-1 neural net. Running the nnet function gives me a vecto of 9 weights, but I don't know how to build the equation form these values. Can anyone advice? Or at least tell me where the nnet output is described in details (the manual only gives a brief description). Thanks.