similar to: Updating a list.

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 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

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

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 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

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

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 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 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

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 colleagues, I have really heavy problems in sorting the results of a table according to certain features of the levels in the table. Prerequisites: It all starts with a fairly simple data set, which stores observations of 21 observers (horizontally from 1 to 21; 21 is reference/goldstandard) who diagnosed 42 videos (vertically from 1 to 42). See dump of R-object "input" below in

I have a list of data.frames > str(bins) List of 19217 $ 100026:'data.frame': 1 obs. of 6 variables: ..$ Sku : chr "100026" ..$ Bin : chr "T149C" ..$ Count: int 108 ..$ X : int 20 ..$ Y : int 149 ..$ Z : chr "3" $ 100030:'data.frame': 1 obs. of 6 variables: ....... As you can see one 'column' is

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

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

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Hi, I've created a 2 node glusterFS test (Gluster 3.8). Without enabling NFS-Ganesha, when I try to mount from a client using glusterfs option - everything works. However, after enabling NFS-Ganesha, when I try to mount from a client using the glusterfs option (fuse), it fails with the following output (when using the log-file option): [2017-12-28 08:15:30.109110] I [MSGID: 100030]

Hello I do not think I have fully grasped how to use Amelia to deal with missing data. For instance, suppose I have a data.frame variable with 4 columns (year, mon, ssn, dev) = (year, month, measurements, standard deviation of the measurement). Of course, there are some random missing values on columns 3 and 4. The measurements are an almost periodic time-series contaminated by noise.