similar to: Formula with in memory data.frame

Hi there fellow R-users, I have just upgraded to R version 1.9.0 from R version 1.7.1 for Windows. Im trying to use the loess smoother where the X-variable is an as.POSIXct variable. The following works fine with R1.7.1 but not with R1.9.0. Here is the example: dates<-c('2003-08-03','2003-08-10','2003-08-17','2003-08-24','2003-08-31','2

Hi, I'm having a problem getting the panel.average function to work as I expect it to in a lattice plot. I wish to draw lines between the averages of groups of y-values at specific x-values. I have created a dataset below which is similar to my real data. I also show an example of using panel.loess in place of panel.average; it performs in a manner similar to what I want panel.average to do

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 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

Dear All: I am having some trouble with date variables when NAs are present. The following example illustrates (see below for output of version): > library(chron) > minor.test <- c( "NA", "NA", "1988-02-08", + "1988-02-08", "NA", "1987-11-23", "1988-09-03", "1991-10-15", +

Hello folks, I found a strangeness while experimenting with POSIXct vectors and lists. It seems that coerced NA's aren't "real" NAs, at least as considered by is.na()? > date_vec = c(as.POSIXct(now()), as.POSIXct(now()+1),NA,"b") > date_vec [1] "2012-08-22 15:00:46 COT" "2012-08-22 15:00:47 COT" NA [4] NA Warning message: In

I have a command which returns a data fram if I am not mistaken: sc <- split(x, list(x$Category, x$SubCategory), drop=TRUE) Now I wish to get the Category and SubCategory that the data was split on. So my first attempt would be: sc[[1]]$Category[1] But that yields [1] (Unknown) 46 Levels: (Unknown) 10" Plates 7" Plates (Dessert) ... WOMEN Is all I want is '(Unknown)'.

I am running R 2.9.2 and creating a PDF that I am trying to open with Adobe Reader 9.2 but when I try to open it the reader responds with "There was an error opening this document. The file is damaged and cannot be repaired.: I am using the R command(s): pdf(file="cat.pdf", title="Historical Sales By Category") for(j in 1:length(master)) { d <-

I have a command that reads in some data: x <- read.csv("Sales2007.dat", header=TRUE) Then I try to organize the data: sc <- split(x, list(x$Category, x$SubCategory), drop=TRUE) Then I want to iterate through the data. I was able to get the following to run on the R console: for(i in 1:length(sc)) { sum(sc[[i]]$Quantity) } But notiing is primted on the console. I find

>From what I read this should work. So please help my misunderstanding: > x <- data.frame(Name=c("A","A","C"), Category=c("a","a","b"), Quantity=c(1,2,3)) > x Name Category Quantity 1 A a 1 2 A a 2 3 C b 3 > aggregate(x,

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 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

A newbie here - please forgive me if this is a basic question. We have an in house package built in R 2.2.1 (yes we're a little behind the times at our firm)and would like to rebuild it using R 2.5.1. However, when I try and build the package from source, I keep getting this error: Error in as(slotVal, slotClass, strict = FALSE) : no method or default for coercing "POSIXt"

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"),

Hello, In reading the loess description I see: span: the parameter alpha which controls the degree of smoothing. The default seems to be 0.75. Would it be possible to expand on this decription so I can avoid trail and error? Can I increase this pass 'span' > 1? Qualitatively to what degree changing this value affects the smoothing of the data? Thank you. Kevin

R folks, I am somewhat new to R and have started to stumble... I have a set of data that I am trying to model, so that I can predict on a much larger set - and I have been using loess to get a model.. but it is not what I would like to see. For instance, I know from the nature of the data that the shape of this line should only decrease, and yet the loess is being affected by the sample

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

Please see example code below. I have a vector ("mydata") of length 10. "mydata" can have various formats (e.g. numeric, text, POSIXct, etc) I use the matrix and data.frame functions to convert "mydata" to a dataframe ("mydf") of 2 columns and 5 rows. What is a "good" way to ensure that the format is retained when I create the

Hi, Please can you tell me what I am doing wrong. When trying to merge two xts objects, one of which has multiple character vectors for columns...I am just getting NAs. > str(t) POSIXct[1:1], format: "2011-01-04 11:45:37" > y2 = xts(matrix(c(letters[1:10]),5), order.by=as.POSIXct(c(t + 1:5))) > names(y2) = c(1,2) > y2 1 2 2011-01-04 11:45:38

I'm at my wit's end, and have searched all of my sources. I need to generate a relatively large number of individual LOESS fits each month of data (I have about 16 months of data). Fitting the polynomial is not my problem, figuring out what the formula that describes that polynomial is. apologies in advance if this is so simple, but I need a hand here. Thanks. -- View this message in