search for: 102767

...ct= c(V1,V4,V6)) #where V1, V4, V6 are the col names .. to Get the relevant data names(temp1) <- c('Ticker', 'Price','Date') #Adjusted column names Now as expected, I get: > temp1 Ticker Price Date 1 106270 10.3287 01-Apr-2008 2 106269 10.3287 01-Apr-2008 3 102767 12.6832 01-Apr-2008 4 102766 10.5396 01-Apr-2008 5 102855 9.7833 01-Apr-2008 6 102856 12.1485 01-Apr-2008 BUT, for the below: temp1$Price [1] 10.3287 10.3287 12.6832 10.5396 9.7833 12.1485 439500 Levels: -101.2358 -102.622 -2171.1276 -6796.4926 -969.5193 ... Repurchase Price What is this line?...

Hello, I have a data frame as below ... in cases where I have N.A. I want to use an average of the past date and next date .. any help? 13/10/2010 A 23 13/10/2010 B 12 13/10/2010 C 124 14/10/2010 A 43 14/10/2010 B 54 14/10/2010 C 65 15/10/2010 A 43 15/10/2010 B N.A. 15/10/2010 C 65 ---------------------------------------------------------------------------- -------------------------- Thanks

Does anyone know a solution ? TIA Patrick -- "Live long and prosper, Spock." -- T'Pau "I shall do neither. I have killed my captain, and my friend." -- Spock Fingerprint = 2792 057F C445 9486 F932 3AEA D3A3 1B0C 1059 273B ICQ# 316932703 Registered Linux User #44550 http://counter.li.org --Signature=_Sun__11_Jan_2004_20_46_41_+0100_0GSwb.JLcjNTC0By Content-Type:

...ct= c(V1,V4,V6)) #where V1, V4, V6 are the col names .. to Get the relevant data names(temp1) <- c('Ticker', 'Price','Date') #Adjusted column names Now as expected, I get: > temp1 Ticker Price Date 1 106270 10.3287 01-Apr-2008 2 106269 10.3287 01-Apr-2008 3 102767 12.6832 01-Apr-2008 4 102766 10.5396 01-Apr-2008 5 102855 9.7833 01-Apr-2008 6 102856 12.1485 01-Apr-2008 BUT, for the below: temp1$Price [1] 10.3287 10.3287 12.6832 10.5396 9.7833 12.1485 439500 Levels: -101.2358 -102.622 -2171.1276 -6796.4926 -969.5193 ... Repurchase Price What is this line?...