similar to: question concerning the acf function

Hi everyone, I've got a question concerning the function Box.test for testing autocorrelation in my data. My data consist of (daily) returns of several stocks over time (first row=time, all other rows=stock returns). I intend to perform a Box-Ljung test for my returns (for each stock). Since I have about 3000 stocks in my list, I'm not able to perform the test individually for each

Hello everyone I have a couple of questions about the usage of the R function "read.table(.)". My point of departure is that I want to import a matrix (consisting of time and daily stock returns of many stocks) in R. Most of the data is numeric, however some values are missing (blanks) and in other cases I have the character "#DIV/0!" (from excel). My goal is to do some

Hi David, In the general case, there is still a gap in your solution >sum( tbl["1", 2:ncol(tbl)] ). This solution refers to a specific column number (here: column number 2) and not to the actual length of the run, doesn't it? That is, in this simple example the column number 2 actually corresponds to the length "2", but this must not be the case in general. For

Hello everyone, I'd like to search for certain "expressions" (characters) in my data.frame and delete the containing columns. So, for example in the below table, I'd like to delete all columns which contain the expression "Error". That is, R should delete column C and E from my data. Any ideas? A B C D E 12

Hi everyone, My (simplified) problem is the following one: I have two tables. The first table contains 5 columns with 5 values and the second table contains a single value for each vector name of the first table (see tables below): Table 1: A B C D E 1 2 3 4 5 2 3 4

Hi everyone I've got a problem regarding the arima() and the ar() function for autoregressive series. I would simply like to combine them. To better understand my question, I first show you how I'm using these two functions individually (see file in the attachement). 1) apply(TSX,2, function(x) ar(na.omit(x),method="mle")$order # this function finds the optimal

Hi everyone, I've got two data sets as below. My question now is: how can I use Dataset2 as a filter for Dataset1? My goal is just to keep the rows of Dataset1 where the first column (Date) matches the Dates in Dataset2. I would appreciate any solutions to this issue. Many thanks! S.B. Dataset1: Date A B C D 1

Hi I have probably a very simple question but I'm going crazy trying to find the solution. I have two data.frames with headers and I'm doing an intersection between them by names, such that the intersected data.frames are returned by: df1[intersect(names (df1), names(df2))] and the same for df2 Now, I want to have all the opposite data that did not intersect. I tried to do:

Hi everyone Do you know about any possibility in R to check for consecutive numbers in vectors? That is, I do not only want to count the number of observations in total (which can be done table(x)), but I also want to count for instance how many times that vector contains a certain number consecutively. For example in the following vector x the number "1" appears 7 times.

Hi everyone, I've got a question concerning missing values in R. I'm looking for an R code which removes all NA values in my data.frame. I found many answers about how to remove rows or columns which contain NA's. My problem however is a bit different. I have a list of vectors. Each vector contains some NA Values that I want to remove. So, at the end all vectors will have

Hi everyone, I have a large data set with about 3'000 columns and I would like to exclude all columns which include three or more consecutive zeros (see below example). A further issue is that it should just jump NA values if any. How can I do this? In the below example R should exclude column C and D (since in D jumping the NA leaves three consecutive zeros). I would appreciate

Hi Johannes, Thank you for your quick feddback. As I am using linux os build with buildroot on my raspberry pi I can't use package manager such as apt-get to install R. What I need to do is to get the precompiled R for arm arch and then when I build my linux image using buildroot I include the R precompiled package to my rootfs. Could you please send me a link where I can download

Hello, I m using Centos 5.2 in my virtual machine VMWARE i've got the rpm of VMWARE tools, after double clicking on it, it installs successfully. but after this installation i still can not change my displaay r?solution.. (the max is 800 * 600) any help? -- Samir RHAOUSSI ENIM 2009 - G?nie Informatique -------------- next part -------------- An HTML attachment was scrubbed... URL:

Does anyone have any experience using R to pull/push data from an ODBC compliant database? I'm working on a small project and am undecided about whether to use just R or use some other software for extracting and transforming. TIA Samir. The information contained in this e-mail transmission is confidential and may be privileged. It is intended only for the addressee(s) stated above. If

Dear all, I am currently trying to cross compile R3.5.2 using X86 host and trying to cross compile for ARM target (raspberry pi 3 running on linux system generated by buildroot). The problem I am encountering is that the compilation fails because the current R buildsystem I trying to execute the R binary generated for Arm arch on the host X86 computer. My question is: Is there an R

Dear All, I have an asterisk server version 1.2.12.1 along with trixbox and I am having this nasty problem, I have a TE200P and have an E1 pri attached to it and zttool says it's OK, I have configured the whole 31 channels into one group as follow: Zapata-auto.conf: callerid=asreceived signalling=pri_cpe switchtype=euroisdn context=from-zaptel group=0 channel=>1-15,17-31

Dear All, My problem is the following > varname <- c("age","sex","edu","mrt") > varstates <- c(10,2,4,3) # 10 age groups, 2 sexes, 4 education group and 3 marital status.. Now, I want four variables (vector with length1) named nrage, nrsex, nredu, nrmrt and assing some values > for (i in 1:4) paste("nr",varname[i],sep="")

I am running debian etch with dovecot 1.0 rc15 from the debian repository with postfix 2.3 I am using virtual users in a postgreSQL database as taken from the dovecot wiki while making use of the password field for authentication I am using deliver as LDA and I am attempting to use the sieve plugin but try as I might I can't seem to get it working. Am I wrong in thinking that a sieve

Dear R-Users, I have a data frame with several categorical variables. I want to create a new data frame with dummy variables (with all levels). I know the function model.matrix (see below) but it works only for one categorical variable : > tt <- c("a","a","b","a","c") > tt <- factor(tt) > model.matrix(~ tt - 1) is there anyone who

I'm not sure if this problem is repeatable or particular to my machine. The following works fine - > odbcConnect("demoteam", uid = "demo", pwd = "demo") This causes R to crash - > oracle.info <- list(channel = "demoteam", uid = "demo", pwd = "demo") > demo.db.connect <- function(ora.info = oracle.info) { + channel