similar to: data.frame to array?

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 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 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 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 an optimization question that I was hoping to get some suggestions on how best to go about sovling it. I would think there is probably a package that addresses this problem. This is an ordering optimzation problem. Best to describe it with a simple example. Say I have 100 "bins" each with a ball in it numbered from 1 to 100. Each bin can only hold one ball. This optimization is

Hello, I'm author of Lsyncd - the live syncing deamon - http://code.google.com/p/lsyncd/ - a daemon that uses Linux` inotify to watch for filesystem changes - aggregates them for a few seconds and then periodically calls rsync to transfer the changes to target(s). Version 1 was simply aware of directories only, and it called rsync once with --delete -d for every directory in which anything

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 Got a column named ''sku'' in a table named ''product'' <%= product.sku %> ...looks like this.... ''1234_56'' These last two chars (56) are an audio Track number. I ultimately want to display: Track <%= product.sku %> I can isolate the first part with /\d+\_/ = 1234_ But can''t figure out how to get the last two

Hello, I need some help with regex. I have this to sentences. I need to extract both "49MU6300" and "LE32S5970" and put them in a new colum "SKU". A) SMART TV UHD 49'' CURVO 49MU6300 B) SMART TV HD 32'' LE32S5970 DataFrame for testing: ecommerce <- data.frame(a = c(1,2), producto = c("SMART TV UHD 49'' CURVO 49MU6300",

I know how to convert a simple dataframe from wide to long format with one varying factor. However, for a dataset with two factors like the following, Subj T1_Cond1 T1_Cond2 T2_Cond1 T2_Cond2 1 0.125869 4.108232 1.099392 5.556614 2 1.427940 2.170026 0.120748 1.176353 How to elegantly convert to a long form as Subj Time Cond Value 1 1 1 0.125869 1

"Please, consider that some SKUs have "-" in the middle, for example: "PG-9021". Then you need to include these in the list of patterns you gave. Try it again -- this time with a **complete** list. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his

I noticed that the text() command adds text to a plot. Is there a way to either make the plot blank or add text to a "blank sheet". I would like to "plot" a page that contains just text, no plot lines, labels, etc. Suggestions? Kevin [[alternative HTML version deleted]]

Given a Date object or simply a year is there an R function to tell me if the it is a leap year or not? I was hoping for something like 'is.leapyear'. I probably can build my own function (year divisible by 4 etc.) but I would rather use an existing function if it is available. Thank you. Kevin

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]

Why does: (shape/scale) * (1:365/scale)^(shape - 1) return a vector of numbers but calling a function hasard(1:365,shape,scale) defined like: hazard <- function(x,shape,scale) { return (shape/scale) * (x/scale)^(shape - 1) } Only return a single value? It is like x becomes a single value passed as an argument. Thank you. Kevin

I noticed that when I fit a linear model using 'lm' there is an attribute called "factors" that is added to the "term". It doesn't seem to appear for 'model.matrix', just 'lm'. I have been unable to find where it gets constructed or what it means? It looks like a two dimensional array that I may be able to use so I would just like to get some

I had a question about the basic power functions in R. For example from the R console I enter: -1 ^ 2 [1] -1 but also -1^3 [1] -1 -0.1^2 [1] -0.01 Normally pow(-1, 2) return either -Infinity or NaN. Has R taken over the math functions? If so I would think that -1^2 is 1 not -1 and -0.1^2 is 0.01 not -0.01. Thank you. Kevin

Hi, I am trying to replace (lattice) standard xyplot with xYplot variant from Hmisc package to be able to add error bars to my plots. However, this does not work, e.g: library(lattice) d <- data.frame( SKU=gl(3, 1, 21, labels=c("a", "b", "c")), Weekday=gl(7, 3, 21), QCRate=runif(21)) xyplot(QCRate ~ Weekday | SKU, data=d) (this plots nice 3 panels as per