search for: timeperiods

Hi all, I have a dataset with several variables, each of which is a separate column. For each variable, I want to produce a boxplot and include the name of the variable (ie, column name) on each plot. I have included a sample dataset below. Can someone tell me where I am going wrong? Thank you for your help, Shawn Morrison # Generate a sample dataset var1 = rnorm(1000) var2 = rnorm(1000)

Hello, I'm trying to create a custom function that "mean-centers" data and can be applied across many columns. Here is an example dataset, which is similar to my dataset: *Location,TimePeriod,Units,AveragePrice* Los Angeles,5/1/11,61,5.42 Los Angeles,5/8/11,49,4.69 Los Angeles,5/15/11,40,5.05 New York,5/1/11,259,6.4 New York,5/8/11,187,5.3 New York,5/15/11,177,5.7

Hi, Is there a way in sieve to get the current date, preferably in YYYYMMDD format? To what I've found it's hard to achieve. I have tried including a :global sieve script in which I would set the current date to a certain variable and overwrite this included script every day. But to my disappointement variables set in an included script do not exist in the original script... In fact what

Hi all I am looking for an add-in. I am currently working on something and I use daily data of closing stock prices. As not all companies are traded daily (e.g. on monday, then on thursday etc) at the stock exchange, there is satistically a problem. There are some papers which explain the approach to handle infrequent trading of a stock or non synchronous data and beta estimation (Dimson, 1979;

Hello List I'm trying to calculate the median period (in months) of a set of time intervals (between two interventions). I have been playing with the lubridate package to create the intervals but I can't think of the right approach to get the median timeperiod. Toy code: library(lubridate) test <- c('08-04-22', '08-07-28', '09-03-02', '09-03-03',

Een ingesloten tekst met niet-gespecificeerde tekenset is van het bericht gescrubt ... Naam: niet beschikbaar Url: https://stat.ethz.ch/pipermail/r-help/attachments/20070820/920567a6/attachment.pl

Hello all, I'm going to tackle learning C this week, and start writing my first * add-on/contribution; assuming it's actually worthy of contributing once it's done.. I think I've chosen a hefty project for my first go round here... I'd like to get some feedback from everyone on a FindMe/FollowMe spec I've put together. Before you read on, let me say, I don't want

Hi, Recently I started working with netcdf IPCC climate model data and I am using R to analyze these data. Some problems occur while doing this, as I am using the output of different climate models which are different in for example time calendar and grid coordinates. To analyze monthly means I have been using the function /chron/ for 365 day calendar time series. Originally the time is in

...fg check gave the all clear: Reading configuration data... Read main config file okay... Processing object config file '/etc/nagios/objects/commands.cfg'... Processing object config file '/etc/nagios/objects/contacts.cfg'... Processing object config file '/etc/nagios/objects/timeperiods.cfg'... Processing object config file '/etc/nagios/objects/templates.cfg'... Processing object config file '/etc/nagios/objects/localhost.cfg'... Read object config files okay... Running pre-flight check on configuration data... Checking services... Checked 8 services. Che...

Hi list members I have a vector of strings x=c("w","ex","ee") And I want to get a logical vector showing the positions where my search string "e" matches the elements partially, i.e. is at least the left-hand part of the target strings, i.e. I want to get a vector FALSE TRUE TRUE. Any ideas? Thanks Steve Powell proMENTE social research research |

Greetings list, I am new to programming in R, and am using nnet() function for a project on neural networking. Firstly I wish to ask if there is any pdf explaining the algorithm nnet uses, which could tell me what the objects of the nnet class, like 'conn', 'nconn, 'nsunits', n and 'nunits' mean, and how weights are calculated. The package pdf has little or no