similar to: Exporting a list of lists

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 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 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 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"),

I have two vectos (list) that represent a years of data. Each "row" is represented by the day of year and the quantity that was sold for that day. I would like to form a new vector that is the difference between the two years of data. A sample of A (and similarly B) looks like: > A[1:5,] DayOfYear x 1 1 1429 2 2 3952 3 3 3049 4 4 2844 5 5

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 am working with xts dependent data, and my code is as follows (the problem is explained throughout): dat <- getdat("prices") dat <- read.zoo(dat, sep = "",format="%d/%m/%Y %H:%M", tz="", FUN=NULL, regular=TRUE, header=TRUE, index.column=1, colClasses=c("character", "numeric")) dat <- as.xts(dat)

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 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 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',

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 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

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

On 14/06/16 18:36, Juan Ignacio wrote: > Traducir del: Inglés > Ok, I have correctly configured the option to use RFC2307 in the > Actide Directory Domain Controller and the option on the member server. > > But anyway still showing bad UIDs. > > Here we show how both configurations are actualemente. > > Within RSAT I can place the UID attribute for example uanaco. >

I have a large Excel file with SKU numbers (stock keeping units) and forecasts which can be mimicked with the following: Period <- c(1, 2, 3, 1, 2, 3, 4, 1, 2) SKU <- c("A1","A1","A1","X4","X4","X4","X4","K2","K2") Forecast <- c(99, 103, 128, 63, 69, 72, 75, 207, 201) PeriodSKUForecast <-

Hi everyone, I'd like to be able to apply lda to each 2D matrix slice of a 3D array, and then use the scalings to obtain the corresponding lda scores. I can use 'apply' to get a list of the lda output for each 2D slice, and can create a list of the resulting scalings, but I'm not sure how to multiply them in a vectorized way. Here's how I made a list of 2D matrices

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

On 14/06/16 17:32, Juan Ignacio wrote: > Rowland, a question. > > > "is to copy idmap.ldap from the first DC to all others and then keep > them in sync, the other is to use RFC2307 attributes." > > I can do the same with my member server? Maybe it works, or not for > beign a member server. > > Maybe i can change my Member Server to a Domain Controller and