similar to: normalizing prizes to a specific year - how to?

I have a data set something like this: "YYYY", "Value" 1972 , 117 1984 , 73 1969 , 92 1976 , 113 1999 , 80 1996 , 78 1976 , 98 1984 , 106 1976 , 99 it could be created with: > dafSamp <- data.frame(cbind(c(1972,1984,1969,1976,1999,1996,1976,1984,1976),c(117,73,92,113,80,78,98,106,99))) The real dataset is of cause much larger, app. 100.000 samples

I want to find the DOY (Day of Year) of some dates. I think to substract the date 1. January from the data to achive this. Something like: > d <- as.Date("2006-03-13") - as.Date("2006-01-01") +1 > d Time difference of 72 days So far so good. But d is a 'difftime' object. How do I get an Integer value from that? I tried severel things, incuding the

Dear List Sorry if this is trivial, but I can't find it in the manual, FAQ or mail list (2002). I just installed R 1.6.0 (2002-10-01) on Linux R.H. 7.2 (2.4.9-32.5) on an DIGITAL AlphaServer 800 5/500 The program starts up nicely but exits immediately with a "Segmentation fault" at the first command. It seems that it doesn't matter what command, I tried q(), help(), version,

Simple question... I would like to dump some summries of lm()'s to small seperate text files. I have looked at: print(), but it don't support output to file cat(), but it claims that 'sum1' is a list write, but that just uses cat()... The script goes something like this: ... lmMax <- lm(NUMAMMON ~ YYYY*MM*DD) sum1 <- summary(lmMax) # help needed here... how to dump sum1

Dear list - Propoerly a beginner question, so bare with my frustration... I tried install the 'shapefiles' package into R 2.4.0 but it seems that the install had little effect... > install.packages(c("shapefiles")) --- Please select a CRAN mirror for use in this session --- trying URL

Dear list I'm plotting ( boxplot() and plot() ) some data for a publication. The editor would like the text labels on the plots in a larger font. I'm doing something like this: <snip> jpeg( filename = "D:/Martin/Work/CleanPath/RAF1%03d.jpg", width = 1000, height = 600, pointsize = 12, quality = 100, bg = "white", res = 96, restoreConsole = TRUE )

Dear List I'm trying to run R on a DIGITAL Alpha / Linux RedHat 7.2 The .rpm requires libreadlin.so.4.1 RedHat 7.2 comes with libreadline.so.4.2 I installed the R-1.6.0-1.aplha.rpm with option --nodeps, since it otherwise complained that the required libreadline.so.4.1 was missing. This seemed to be the only unsatisfied dependency, at least that was the only one mentioned when installing

I have a data frame (daf1), that holds +80000 records, and 10 variables (i.e. 10 columns and some 80000 rows) > length(daf1) [1] 10 > length(daf1[,1]) [1] 83805 I would like to sample() e.g. 10000 records from this. I use: > daf2 <- sample(daf1, 1000, replace = FALSE, prob = NULL) Error in `[.data.frame`(x, .Internal(sample(length(x), size, replace, : cannot take a sample larger

Hi enthusiasts, Trying to create a single chart in lattice with different plotting definitions for the different series (two series should be drawn with lines and the other without them) I am using a dataset, which includes a grouping variable e.g. clinic with three levels, the variable "year" and a continous variable: "mct". In the graph the variable "year" is in

Hi! If i have something like this used to create select tag: options = [["Dollar", "$"], ["Kroner", "DKK"]] and later read value from the database and get "DKK", what is the easiest way to get "Kroner" value? -- Posted via http://www.ruby-forum.com/.

Heineken NV and Carlsberg A/S may be fined after the European Commission charged that they conspired to curb competition in the Dutch and Danish beer markets from 1993 to 1996. The European Union's antitrust regulator said evidence collected in raids two years ago showed the two brewers broke EU law by agreeing not to sell ``intensively'' in each other's territory. The companies

Dear All, I get the following error when using either SASxport or Hmisc to read an .xpt file: > w <- read.xport("D:/consult/Trophos/dnp/base/TRO_ds_20081006.xpt") Erreur dans factor(x, f$value, f$label) : invalid labels; length 15 should be 1 or 14 > z<- sasxport.get("D:/consult/Trophos/dnp/base/TRO_ds_20081006.xpt") Erreur dans factor(x, f$value, f$label) :

Dear colleagues: This summer, the ASA will award a new prize for statistical software. This note is to encourage you to apply or nudge someone you know to apply. The award is for software that contributes to better use of computing in statistical research and applications, written while the applicant was a student. There is a $1,000 prize plus the opportunity to give an invited talk at the

I am working with the Government of Fukuoka, Japan to get the word out about the Fukuoka Ruby Award to Ruby developers in the US. It is free to apply for this award. The top prize is about $10,000. Deadline is December 25, so there is not much time, but the application is fairly simple for developers who have existing projects. Here are the details: Fukuoka Ruby Award

Hey all, I''m wondering how people are using acts_as_taggable. Two things I''d like to do that aren''t supported out of the box are tag normalization and user attribution. I can''t imagine I''m the first to think about doing this. >From a schema perspective these things both seem simple, just put the normalized tag in the tags table, and have a join

To run my data in another program my data cannot exceed a kurtosis of 0.8. I'm wondering if there is a package that can determine if the kurtosis for a trait is equal to or greater than 0.8 and then determine the appropriate normalizing methods to reduce the kurtosis to less than 0.8. I would also need to have record of what normalizing procedures were done for each trait Katherine Willmore

Hi everybody, I am a beginner in the steps of pre-processing and data analysis of non-targeted metabolomic profiling experiments. Anyone knows if there exists some tool for normalizing this type of data (raw data or XCMS matrix data) in R repositories? Many thanks in advance. Best regards, Núria ------------------------------------------------------- Núria Queralt

Hi I am writing some functionality for a multivariate PDF. One problem is that evaluating the normalizing constant (NC) is massively computationally intensive [one recent example took 4 hours and bigger examples would take much much longer] and it would be good allow for this in the design of the package somehow. For example, the likelihood function doesn't need the NC but (eg) the

Hi, I have a plot whole tick values along the axis have a certain range 0 - x . I need to normalize this range without changing my data files. for e.g., if my plot has tick values at 10,20,30,40,50... i have to make this 2,4,6, etc. but without changing the plot data... I am hoping I can add something to the plot command that goes like tick values divided by a quantity. Any help is appreciated.

I am wondering if it possible to normalize the slope of a linear regression to its intercept to allow for valid between-group comparisons. Here is the scenario: I need to compare the slopes of biomass increase among NAFO divisions of Northwest Atlantic cod. However, the initial division biomass is a confounding factor that may influence the slope of the regression model. How can I normalize the