similar to: Temporal disaggregation

I have a panel data set (in MS excel) like the one below 1 "23/11/08" 2 1 "28/12/08" 3 1 "25/01/09" 4 1 "22/02/09" 5 1 "29/03/09" 6 1 "26/04/09" 32 1 "24/05/09" 23 1 "28/06/09"

Dear R users, I have data on 4 types of interest rates. These rates evolve over time and across regions of countries . So for each type of interest rates I want to run a regression of rates on some other variables. So my regression for one type of interest rate will be I_{ij}_t= a +regressors +error term. where I_{ij}_t is the absolute difference in rates between two locations i and j at time

Dear R users, I have the following problem I have a panel data across countries and individuals. For each country I have a sequence of dates For France for example 22/02/09 22/03/09 19/04/09 17/05/09 12/07/09 09/08/09 06/09/09 04/10/09 01/11/09 29/11/09 27/12/09 31/01/10 For Italy 14/06/09 12/07/09 09/08/09 06/09/09 04/10/09 01/11/09 29/11/09 27/12/09 31/01/10 28/02/10 28/03/10 The structure

Hi, this is a newbie question. Would it be able to convert e.g. annual time series of flow data (or an index series) into quarterly data using interpolation splines by means of an existing R-function? The problem is, that the average value of the computed quarterly values must be the annual value, i.e. the spline should cross the annual values (in a stairs-line plot) in the middle of every annual

Dear R-users, I have an anual info of gross product and I would like to disaggregate to trimestral data. Can I import a matlab library of Quilis? ( http://www.mathworks.com/matlabcentral/fileexchange/24438-temporal-disaggregation-library ) Thanks, Sebasti?n.

  Hi, This is a newbie question. I would to be able to convert annual time series of flow data into quarterly data. I wonder if there is any existing R-function which permits to do it? In what package ?   I the archive, i found that some poeple speak about "tempDis" package for performing time series temporal disaggregation, but when I try to download it I can not found it in the list

Hi I have monthly data and the dates are in MM/YY Format I need to convert them into DD/MM/YY format by pasting 01 in place of DD to all the observations in my Year Column ex: Year Stock Prices 01/2000 1 02/2000 2 03/2000 3 I need to convert them to Year Stock Prices 01/01/2000 1 01/02/2000 2 01/03/2000

I see this: --8<---------------cut here---------------start------------->8--- > length(which(is.na(z$language))) [1] 0 > locals <- z[z$country == mycountry,] > length(which(is.na(locals$language))) [1] 229 --8<---------------cut here---------------end--------------->8--- where are those locals without the language coming from?! -- Sam Steingold (http://sds.podval.org/) on

Hello List, I'd like to ask how much you guys pay for an E1 (30 voice lines) and what company. You can email me personally and not the list. Best regards, Eddie _________________________________________________________________ FREE pop-up blocking with the new MSN Toolbar - get it now! http://toolbar.msn.click-url.com/go/onm00200415ave/direct/01/

Hi, I am trying to create a googleVis motion chart with monthly data. When formatting the date column as a Date class variable, the plot as presented in the browser becomes considerably slower and very prone to crashing the browser. To illustrate this issue I have modified the WorldBank demo. ### objects from demo("WorldBank", package = "googleVis") M <-

Hi, I have a data set (mydata), which a part of this is like the following: 'data.frame': 36190 obs. of 16 variables: $ RE : int 38 41 11 67 30 18 38 41 41 30 ... $ LU : int 4200 3330 530 4500 3000 1790 4700 3400 3640 4000 ... $ COUNTRY : Factor w/ 4 levels "DE","FR","JP", "FR"? $Light

Dear R users, I have a dataframe where column is has countries, column 2 is dates (monthly) for each countrly, the next 10 columns are my factors where I have measurements for each country and for each date. I have attached a sample of the data in csv format with the data for 3 countries. I would like to convert my monthly data into quarterly data, finding the mean over 3 month periods for

-Thank you James, well the problem of my type of data is that there can be many possible subsets and therefore plots, and I want to automatically generate them, and facet_wrap does not give me all the possible cases On Saturday, April 16, 2016 6:01 AM, James C. Whanger <james.whanger at gmail.com> wrote: Would facet_wrap or facet_grid give you what you want? On Sat, Apr 16, 2016 at

Dear all, Can we simulate user input in R ? for example if we have a function which needs an input from the user to continue its work, can we automate this step (simulate the input...) Here is the sample: choose between one of the grouping factor available : c("Village", "Country") we need to enter Village or Country to continue.....can I automatically pass one of the values

Hi all, I have two dataframes. The first (A) contains all the stock prices for today including today. So the first column is the stock Symbol and the second column is the stock price. The second (B) is the symbol list in the top 100 stocks. I want to pick out from dataframe A only the rows containing the symbols from B. i.e. something like: prices <- A[A[,1]==B,2] is there any

Is there any good free / accurate online resources with detailed country numbering plans? Failing that let's get something running ourselves. I was also thinking maybe people present could contribute some information on this list for now. The countries I am after are below. To start this off I will provide the information for Australia +61 and New Zealand +64. NZ Cellular: area code 21

Hello, My home system on a DSL line is getting worn out by bad behavior robots. Awhile back, I created a .htaccess file that block countries by IP blocks. Its 2MB in size. I have been running Linux since Slackware 1.0 and moved to Redhat around 2.0. I started after running a BBS using a doorway for newsgroups. Been hooked ever since. So, today, I tried following the directions for

All, I am new to using R and know some basics. I wish to use kriging in R to do the following: given data Y =f(X1,X2,X3,.....,Xn) --1000+ irregular measured data set. I would like to be able to get a single value y given sinle input set (x1,x2,x3,...xn) A google search on this takes me lierally to the same example on involving analysis with soil sampling and I cannot figure out how to

Hi UseRs - I am new to R, and could use some help making out-of-sample predictions using a boosting model (the mboost command). The issue is complicated by the fact that I have panel data (time by country), and am estimating the model separately for each country. FYI, this is monthly data and I have 1986m1 - 2009m12 for 9 countries. To give you a flavor of what I am doing, here is a simple

Hi there, I would like to make a 'bumps chart' like the ones described e.g. here: http://junkcharts.typepad.com/junk_charts/bumps_chart/ Purpose: I'd like to plot the proportion of people in select countries living for less then one USD pr day in 1994 and 2004 respectively. I have already constructed a barplot - but I think a bumps chart would be better # The barplot and data