similar to: Question on entry exit tabulating in any R finance package

Hi, I am pretty new to R and would like to follow the code in the paper below, tradesys package. but I am stuck at the 2nd page where x<-tsts(spx) is written. Could anyopne help me why I am getting an Error :"could not find function "tsts" ". I guess I need function call "tsts". where can I find that function ? I installed tradesys, zoo, RUnit packages but I

Hi I am trying to define a function fu() in the following way but when I try to run I get the error that ma1 is not found. I am not sure where I am going wrong? Does the scope of ma1 not extend to an expr.frame object? expr.frame() is under library tradesys. function (y,ma1,ma2) { x <- y[, c("Open","Close")] d <- expr.frame(x, list(MAf=quote(SMA(Close, ma1)),

Dear R-help, First of all, thank you VERY much for any help you have time to offer. I greatly appreciate it. I would like to write a function that, given an arbitrary number of factors from a data frame, tabulates the number of occurrences of each unique combination of the factors. Cleary, this works: > table(horse,date,surface) <SNIP> , , surface = TURF

I have a data set with many missing observations. When I run a regression, R of course discards the observations (the whole row) that have "NA". I want to tabulate some baseline characteristics (column means) but only for the observations that R used for the regression. I tried to recreate this data frame by using na.omit on the original data frame, but this will not work as this will

Hi, This must be an easy one but so far I haven't find a way out... I have a data frame such as: $ v1 : Factor w/ 5 levels $ v2 : Factor w/ 2 levels $ v3 : Class 'difftime' atomic [1:6666] basically v1 and v2 are factors, while v3 is a variable containing the duration of certain activities (values ranging from 11 to 45000 sec, no missing values) How can I get a table

Hello, I wonder if someone could send me suggestions on how to solve the following problem: I have a vector of an arbitrary size (ex. data<-c(10,10,11,10,12,11,10,12,11,11,10,11)) and use the table function, which gives the following result 10 11 12 5 5 2 that''s fine, but what I would like to do now is: construct new classes based on the number of classes from table, 10

I have a sparse contingency table (most cells are 0): > xtabs(~.,data[,idx:(idx+4)]) , , x3 = 1, x4 = 1, x5 = 1 x2 x1 1 2 3 1 0 0 31 2 0 0 112 3 0 0 94 , , x3 = 2, x4 = 1, x5 = 1 x2 x1 1 2 3 1 0 0 0 2 0 0 0 3 0 0 0 , , x3 = 3, x4 = 1, x5 = 1 x2 x1 1 2 3 1 0 0 0 2 0 0 0 3 0 0 0 , , x3 = 1, x4

Hello 'R' Users, I have a monthly mean CO2 necdf data file defined on 1x1 lat by lon coordinate. I want to sub-sample this variable CO2 on the coordinates of another ASCII data file. The coordinates of another ASCII data file are as: -24.01 152.06 -18.58 150.19 -13.46 148.35 -8.29 147.03 -3.14 146.19 1.53 145.59 7.08 145.33 12.25 145.02 17.46 144.31 22.44 142.35 27.53 141.26 33.04

R-helpers: I have a data frame containing 4 factor variables (let's say A,B,C, and D) and 1 numerical variable (N). I would like to produce a cross-tabulated data frame in which A,B,C are individual columns, each factor of D is its own column, and the field is calculated as a given function of N (I would like to have two output data frames, one with the mean(N) and one with the

I am having hard time tabulating data in a dataframe, and getting a single "table" for an answer. I am trying to tabulate all "counts" for given "status" on a given date. I have a data frame such as: delta_ts status count 1 2008-02-27 CLOSED 3 2 2008-02-27 NEW 56 3 2008-02-27 RESOLVED 5 4 2008-02-21 ASSIGNED 1 5

I was wondering if anyone has a way out of the limitation that you must use equal length x,y, and z sequence lengths. For instance, x<-seq(1,100) y<-seq(1,100) z<-rnorm(100) scatterplot3d(z,x,y) works fine. However, if I get some results that has a different y subset length, such as x<-seq(1,100) y<-seq(1,300) z<-rnorm(100) scatterplot3d(z,x,y) I get the following error:

Hi everybody, I'm trying to use R (2.4.1) undr Linux (debian) and a thing bothers me: sometimes I paste lines from a text editor into the R command line and tabulations are catched by the completing-names function of the csh. How could this behaviour be inhibited? thanks in advance Eric Elguero

hello, using the package "descr" i created a crosstab e.g.: Table <- crosstab(age,question,weight=pond) "age": being a variable that consists of the surveyed data of the ages of children: the values are "6 years", "7 years" and "8 years". "question": is a variable that consists of the answers of these children to a question: the

tabulate has .C("R_tabulate", as.integer(bin), as.integer(length(bin)), as.integer(nbins), ans = integer(nbins), PACKAGE="base")$ans The implementation of R_tabulate has if(x[i] != R_NaInt && x[i] > 0 && x[i] <= *nbin) and so copes with (silently drops) NA. Perhaps the .C could have NAOK=TRUE? This is useful in apply'ing tabulate to

Dear all, it looks like that tabulate() does not check for the bounds of the input. Reproducible example: > b <- 1:2 > tabulate(b[1:100]) [1] 1 1 > R.version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status Patched major 2 minor 11.1 year 2010 month 09 day

i make me thoughts about a "advanced tabulation" package similar to commercial software products like Quantum or Wincross. Before i'm beginning to fight with coding - is in the mailing-List anybody doing something similar in the past and have a good starting point and/or suggestions for me ? My purpose ist to define for a dataset headers (i.e. sex,age-groupes..) which should

I am aware of table(is.na(df$var)) but is there an efficient way of create a table that shows the number of missing values in each variable of a data frame? Right now I am forced to create a new variable, varna<-is.na(df$var), for each variable of the data frame, bind them to a new data frame and tabulate it, but surely there is a simpler way? any help is greatly appreciated, angelo

Hi every one, how to get frequency distributions for one variable across other variable. ex: var1=age, var2=height i need frequency distribution of age across height. Thanks in Advance. -- View this message in context: http://www.nabble.com/cross-tabulation-for-frequency-distributions-tp24968531p24968531.html Sent from the R help mailing list archive at Nabble.com.

Hi all, I have a data set x1 x2 x3 1 2 1 1 2 3 2 1 2 1 2 1 3 1 1 I want to tabulate in the following way. 1 2 3 x1 3 2 1 x2 2 3 0 x3 3 1 1 It is just like frequency distribution Any help is highly appreciated [[alternative HTML version deleted]]

Dear list, I have data like this: dat1 <- data.frame(subject=rep(1:10,2), cond1=rep(c("A","B"),each=5), cond2=rep(c("C","D"),each=10), choice=sample(0:1,10,replace=TRUE)) I would like to compare subjects' "choice" for (cond1=="A" & cond2=="C") vs