search for: fcst

Hello, I am using the predict function for VAR in r obtaining the following object for the predictions with the following command PronFac <- predict(VARFactores,n.ahead=1) > PronFactores$fcst $PC1 fcst lower upper CI PC1.fcst 2.284497 -0.8033048 5.3723 3.087802 $PC2 fcst lower upper CI PC2.fcst -0.938333 -4.346927 2.470261 3.408594 $PC3 fcst lower upper CI PC3.fcst -1.035569 -4.282719 2.211582 3.247151 $PC4...

...rotocol version 29 Copyright (C) 1996-2006 by Andrew Tridgell, Wayne Davison, and others. <http://rsync.samba.org/> Capabilities: 64-bit files, socketpairs, hard links, ACLs, symlinks, batchfiles, inplace, IPv6, file flags, 32-bit system inums, 64-bit internal inums ... $ ll -d fcst-200[89] fcst-201[01] dr-xr-xr-x 2 perryh perryh 7168 Nov 27 2009 fcst-2008 dr-xr-xr-x 2 perryh perryh 9216 Jul 21 2010 fcst-2009 drwxr-xr-x 2 perryh perryh 9216 Jul 7 2011 fcst-2010 drwxr-xr-x 2 perryh perryh 4608 Jul 7 2011 fcst-2011 $ rsync -uHSxz4rlptOgv --itemize-changes -e r...

...e that reads client ID date transcations 323232 11/1/2010 22 323232 11/2/2010 0 323232 11/3/2010 missing 121212 11/10/2010 32 121212 11/11/2010 15 ................................. I want to order the rows by client ID and date and using a black-box forecasting method create the data fcst(client,date of forecast, date for which forecast applies). Assume that I have a function that given a time series x(1),x(2),....x(k) will generate f(i,j) where f(i,j) = forecast j days ahead, given data till date i. How can the forecast data be best stored and how would I go about the taks of pr...

...nk you for the suggestions -- I appreciate your help. Unfortunately, the result2 has two problems... (1) there are now 3 date columns (it looks like 2 cols are merged into 1 col) (2) the output rows should not have any of the basistime dates repeated (maybe I misstated the problem); I need the max fcst value by basistime, but also list the date value for that row; for example: basistime fcst 1 2012-01-25 15:02:00 47.9 2 2012-01-26 15:11:00 50.4 3 2012-01-27 01:41:00 46.0 4 2012-01-27 10:15:00 47.3 5 2012-01-27 15:15:00 47.3 6 2012-01-28 14:22:00 46.2 7 2012-01-29 13:33...

...are merged into 1 > col) No, there are two date columns. Result2 includes the grouping value as a row name (pulled from the names of the dta2list items by rbind). > (2) the output rows should not have any of the basistime dates repeated > (maybe I misstated the problem); I need the max fcst value by basistime, but > also list the date value for that row; for example: Then try out my code replacing dta2list <- split( dta2, dta2$date ) with dta2list <- split( dta2, dta2$basistime ) and %>% group_by( date ) with %>% group_by( basistime ) Please study how the code...

...val 1 23 Acme Corp 1 23 2 23 Acme Corp 2 43 3 23 Acme Corp 3 54 4 23 Acme Corp 4 65 5 23 Acme Corp 5 23 6 23 Acme Corp 6 43 7 23 Acme Corp 7 NA 8 23 Acme Corp 8 43 9 23 Acme Corp 9 54 10 23 Acme Corp 10 32 > fcstdf fcstrundate fcstdate fcst ID Name 1 5 6 22 23 Acme Corp 2 6 7 43 23 Acme Corp 3 7 8 54 23 Acme Corp 4 8 9 23 23 Acme Corp 5 9 10 NA 23 Acme Corp 6 10 11 13 23 Acme Corp > merg...

...timestamps, 64-bit long ints, socketpairs, hardlinks, symlinks, IPv6, batchfiles, inplace, append, ACLs, xattrs, iconv, symtimes tomasz at tt:/tmp$ rsync -n -i -r -l -c --checksum-seed=1 --delete ./ $SERVER:/storage/vhosts/$DOMAIN/dev/www.NEW | grep -v '<f\.\.T\.\.\.\.\.\.' <fcsT...... config.php <fc.T...... filter/activitynames/filter.php <fc.T...... filter/activitynames/lang/en/filter_activitynames.php <fc.T...... filter/algebra/AlgParser.pm <fc.T...... filter/algebra/algebra2tex.pl <fc.T...... filter/algebra/algebradebug.php <fc.T...... filter/algebra/f...

..., "2012-05-17 13:42:00", "2012-05-18 14:30:00", "2012-05-19 13:59:00", "2012-05-20 14:14:00", "2012-05-21 14:15:00", "2012-05-22 14:18:00", "2012-05-23 14:14:00", "2012-05-24 13:52:00"), class = "factor"), fcst = c(38.7, 38.9, 39.2, 39.8, 40.5, 41.5, 42.5, 43.1, 43.9, 44.5, 44.8, 45, 45, 45.1, 45.4, 45.8, 46.4, 47, 47.5, 47.9, 39.2, 40, 41.8, 42.2, 42.8, 44.4, 45.7, 46.2, 46.2, 46.2, 46.5, 47, 47.5, 47.9, 48.4, 49, 49.5, 49.9, 50.2, 50.4, 41.3, 42.5, 42.8, 42.8, 42.8, 42.9, 43, 43.3, 43.5,...

..."2012-05-17 13:42:00", "2012-05-18 14:30:00", "2012-05-19 13:59:00", "2012-05-20 14:14:00", "2012-05-21 14:15:00", "2012-05-22 14:18:00", "2012-05-23 14:14:00", "2012-05-24 13:52:00"), class = "factor"), fcst = c(38.7, 38.9, 39.2, 39.8, 40.5, 41.5, 42.5, 43.1, 43.9, 44.5, 44.8, 45, 45, 45.1, 45.4, 45.8, 46.4, 47, 47.5, 47.9, 39.2, 40, 41.8, 42.2, 42.8, 44.4, 45.7, 46.2, 46.2, 46.2, 46.5, 47, 47.5, 47.9, 48.4, 49, 49.5, 49.9, 50.2, 50.4, 41.3, 42.5, 42.8, 42.8, 42.8, 42.9, 43, 43.3, 4...

...order of the model? d.hat=23? p.hat=6? #fPCA? fpca = pca.fd(data,nharm=D, centerfns=TRUE)? scores = fpca$scores[,0:d.hat]? # to avoid warnings from vars predict function below? colnames(scores) <- as.character(seq(1:d.hat))? VAR.pre= predict(VAR(scores, p.hat), n.ahead=1, type="const")$fcst??} kindly guide me that how can i solve out my problem or what error i doing. THANKS [[alternative HTML version deleted]]

...del ? d.hat=23 ? p.hat=6 ? #fPCA ? fpca = pca.fd(data,nharm=D, centerfns=TRUE) ? scores = fpca$scores[,0:d.hat] ? # to avoid warnings from vars predict function below ? colnames(scores) <- as.character(seq(1:d.hat)) ? VAR.pre= predict(VAR(scores, p.hat), n.ahead=1,type="const")$fcst ?? } ? kindly guide me that how can i solve out my problem or whaterror i doing. THANKS [[alternative HTML version deleted]]

...= mean.fd(fdata1)? data = center.fd(fdata1)? #fPCA? fpca = pca.fd(data,nharm=D)? scores = fpca$scores[,1:d.hat](4)?# to avoid warnings from vars predict function below? ? ? colnames(scores) <- as.character(seq(1:d.hat))? ? ? VAR.pre= predict(VAR(scores, p.hat), n.ahead=1, type="const")$fcst after this I need help first how to transform this into original Functional data and to obtain the for for each 24 hours (mean one day forecast) and to how to generalize the result for one year. [[alternative HTML version deleted]]

...= mean.fd(fdata1)? data = center.fd(fdata1)? #fPCA? fpca = pca.fd(data,nharm=D)? scores = fpca$scores[,1:d.hat](4)?# to avoid warnings from vars predict function below? ? ? colnames(scores) <- as.character(seq(1:d.hat))? ? ? VAR.pre= predict(VAR(scores, p.hat), n.ahead=1, type="const")$fcst after this iIneed help first how i transform this into original Functional data and to obtain the for for each 24 hours (mean one day forecast) and to how to generalize the result for one year. [[alternative HTML version deleted]]