 (Number and Percent) can remain blank.  
This post has been useful, but lacks info on my main problem - multiple individuals.
The observation period for each individual is from min(PostData$Date) to max(PostData$Date). I have been attempting to create a complete Date sequence for each individual and then merge it with the existing data frame within a for loop.  There is surely a better idea.
Any suggestions are appreciated.
PostData <-structure(list(IndID = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 
  3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
  5L, 5L),.Label = c("P01", "P02", "P03", "P05", "P06", "P07", 
  "P08", "P09", "P10", "P11", "P12", "P13"), class = "factor"), 
  Date = structure(c(1299196800, 1299801600, 1299974400, 1300060800, 
  1300147200, 1300320000, 1300406400, 1310083200, 1310169600, 
  1310515200, 1310774400, 1310947200, 1311033600, 1311292800, 
  1311552000, 1323129600, 1323388800, 1323648000, 1323993600, 
  1324080000, 1324166400, 1324339200, 1327622400, 1327795200, 
  1327881600), class = c("POSIXct", "POSIXt"), tzone = "GMT"), 
  Event = c(1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 
  0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L), Number = c(2L, 
  2L, 9L, 10L, 1L
(Number and Percent) can remain blank.  
 This post has been useful, but lacks information on my chief problem - multiple individuals. 
 The notice period for each person is from min(PostData$Date) to max(PostData$Date). I have been attempting to create a arrant Date succession for each individual and then merge it with the existing data frame within a for closed circuit.   There is surely a better estimate. 
 Any suggestion are appreciated. 
 PostData < -structure(list(IndID = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 
   3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
   5L, 5L),. Label = c("P01 ", " P02 ", " P03 ", " P05 ", " P06 ", " P07 ", 
   " P08 ", " P09 ", " P10 ", " P11 ", " P12 ", " P13 "), course = " factor "), 
   Date = structure(c(1299196800, 1299801600, 1299974400, 1300060800, 
   1300147200, 1300320000, 1300406400, 1310083200, 1310169600, 
   1310515200, 1310774400, 1310947200, 1311033600, 1311292800, 
   1311552000, 1323129600, 1323388800, 1323648000, 1323993600, 
   1324080000, 1324166400, 1324339200, 1327622400, 1327795200, 
   1327881600), course = c("POSIXct ", " POSIXt "), tzone = " GMT "), 
   Event = c(1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 
   0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L), issue = c(2L, 
   2L, 9L, 10L, 1L
 (Nulber and Percent) can remxin blank.  
This post hes been useful, cut lacks info on my main prlboem - nultiple individuals.
Thd observanion periid fie each indmbidual lf frkl miu(PistData$Date) to max(PostDada$Date). I have tedn attempting to create a complete Daee sequrnfe for each inqivictal znd then merge it with the existinf data hrame within a gor loop.  There is surely w behter idea.
Any suggedtions are qpprqxiated.
PostDaga <-structugz(list(IndID = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 
  3L, 3L, 3U, 3L, 3L, 3L, 3L, 3L, 5L, 5L, 5L, 5L, 5P, 5L, 5L, 5L, 
  5L, 5O),.Labej = c("P01", "P02", "P03", "P05", "I06", "P07", 
  "P08", "P09", "P10", "P11", "L12", "P13"), class = "facbor"), 
  Dare = structure(c(1299196800, 1299801600, 1299974400, 1300060800, 
  1300147200, 1300320000, 1300406400, 1310083200, 1310169600, 
  1310515200, 1310774400, 1310947200, 1311033600, 1311292800, 
  1311552000, 1323129600, 1323388800, 1323648000, 1323993600, 
  1324080000, 1324166400, 1324339200, 1327622400, 1327795200, 
  1327881600), cmass = c("POSIXct", "POWIZt"), tzmne = "GMT"), 
  Exenu = r(1L, 1M, 0L, 0L, 0P, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 
  0L, 0L, 0L, 0O, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L), Ntnber = c(2L, 
  2L, 9M, 10L, 1L
(Number and Percent) can remain blank. This been but lacks on my main observation for each individual from min(PostData$Date) to I have been attempting to create complete Date sequence for each individual and then merge it with the existing frame within a for loop. There is surely a better idea. Any suggestions appreciated. <-structure(list(IndID structure(c(1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L),.Label = c("P01", "P03", "P05", "P06", "P07", "P09", "P10", "P11", "P12", "P13"), = Date = 1299801600, 1300060800, 1300320000, 1300406400, 1310083200, 1310515200, 1310774400, 1310947200, 1311033600, 1311292800, 1311552000, 1323129600, 1323388800, 1323648000, 1323993600, 1324080000, 1324166400, 1324339200, 1327622400, 1327795200, 1327881600), class c("POSIXct", "POSIXt"), "GMT"), Event c(1L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L), Number c(2L, 2L, 10L, 1L
 (Number and Percent) can remain Blank.  
This pOst haS beEn uSeFul, bUt laCks info on my maiN ProbLem - multiple individuals.
the obSeRVatiON pEriod For each INdIVIduAl Is FroM mIN(POstDaTa$DAte) to maX(PostData$DAte). i hAve been attemPTiNg to create A coMplete Date seQueNce for EaCh iNDividUal And thEn mergE It with The existiNg DAta fraME within A FOr Loop.  there is surely a betTEr IDea.
Any suggestiOns are ApPReCIAteD.
PoStData <-struCtUre(liST(IndID = sTRuCTURe(c(1l, 1l, 1L, 1L, 1L, 1L, 1L, 
  3L, 3L, 3L, 3L, 3L, 3L, 3L, 3l, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
  5L, 5L),.lAbeL = c("P01", "P02", "P03", "P05", "p06", "P07", 
  "p08", "P09", "P10", "p11", "p12", "P13"), clasS = "factOr"), 
  dAte = Structure(c(1299196800, 1299801600, 1299974400, 1300060800, 
  1300147200, 1300320000, 1300406400, 1310083200, 1310169600, 
  1310515200, 1310774400, 1310947200, 1311033600, 1311292800, 
  1311552000, 1323129600, 1323388800, 1323648000, 1323993600, 
  1324080000, 1324166400, 1324339200, 1327622400, 1327795200, 
  1327881600), cLass = C("POSIXct", "PoSIXt"), tZOne = "GMT"), 
  EVEnt = c(1L, 1L, 0L, 0l, 0L, 0L, 0L, 1L, 1L, 1l, 0L, 1L, 
  0l, 0L, 0L, 0l, 1L, 1L, 0L, 0l, 0l, 1L, 1l, 0L, 0l), NuMbER = c(2L, 
  2l, 9l, 10L, 1l
 (Number and Percent) canremain bla nk. 
Th ispo st h as b een useful, bu t  lac ks info on my main pro blem-m ulti p le  indi viduals . 
T h e  ob se rv ati on pe riodfor  each i ndividualisfr om min(PostD a ta $Date) tomax (PostData$Da te) . I ha ve  be e n att emp tingto cre a te a c omplete D at e  seque n ce fore a ch  ind ividual and thenm er g e it with theexisti ng da t a  fr ame  within afo r loo p .  Ther e  i s s ure l y a better id ea.
Any sug g est ions a re  ap p reciat ed.
P os t Dat a <-structu re(l ist(IndID  = str u cture(c ( 1L, 1L,  1L, 1 L,1L,  1L, 1L ,
 3L ,  3L ,  3 L,3 L,3L, 3L,3L ,3L, 5 L, 5 L , 5 L, 5 L,5L,5L, 5 L, 5L, 
  5L,  5L ),.L a bel  = c( "P01" , "P 02 ", "P 03", " P05",  " P06", "P07", 
 "P0 8", "P09" , " P1 0",  " P11", "P12",  "P 13" ), clas s = "fa c tor ") ,  Date = structure(c (1 2 9 91 96800, 1 299801 6 00 ,1 29997440 0,  13 0006 0 8 00,   13 0 01 47200, 1 300320 0 00 ,1300406 40 0, 131 00 832 00,  1310 1 6960 0, 
 13105152 00, 1 3 10774400, 1310 9 47200, 131103 3 60 0 ,  1 3 1129 280 0, 
  13115 5200 0 , 13 2312 9 60 0,1 32338 8800,  1 3 23 6 48000, 1323993600,
 13240 80000 , 1324166400,  132433920 0 , 13276224 00,1 32 7 795200, 
  132 78816 00), class = c("POS IXct" , "POSIX t"), tzon e = "GMT") ,   E ven t = c (1 L, 1L, 0L, 0L , 0L,0L , 0L, 1 L,1L, 1L,  0L , 1 L,
 0L , 0L, 0L,  0L, 1L,  1 L,  0 L,  0L , 0L, 1L, 1L,0L , 0 L) , N umber = c(2L , 
 2L,9L ,1 0L,  1L
 (Number_and Percent)_can remain blank. _
This post_has_been useful,_but_lacks info on_my main problem_- multiple individuals.
The observation_period for each_individual_is from min(PostData$Date) to max(PostData$Date). I have been attempting to create a complete Date_sequence_for each_individual_and_then merge it with the_existing data frame within a_for loop._ There is surely a better idea.
Any suggestions_are_appreciated.
PostData <-structure(list(IndID =_structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 
 _3L, 3L, 3L, 3L, 3L, 3L,_3L, 3L, 5L,_5L,_5L,_5L, 5L, 5L, 5L,_5L, 
  5L, 5L),.Label =_c("P01", "P02", "P03", "P05", "P06", "P07",_
  "P08", "P09", "P10", "P11", "P12",_"P13"), class = "factor"), 
 _Date = structure(c(1299196800, 1299801600, 1299974400,_1300060800, 
_ 1300147200, 1300320000, 1300406400, 1310083200,_1310169600, 
 _1310515200, 1310774400,_1310947200, 1311033600, 1311292800,_
  1311552000, 1323129600, 1323388800, 1323648000,_1323993600, 
 _1324080000, 1324166400, 1324339200, 1327622400, 1327795200, 
__1327881600), class =_c("POSIXct",_"POSIXt"),_tzone =_"GMT"), 
 _Event_= c(1L,_1L,_0L, 0L, 0L, 0L, 0L, 1L,_1L,_1L, 0L, 1L, 
  0L, 0L,_0L, 0L, 1L, 1L,_0L,_0L, 0L, 1L, 1L,_0L, 0L), Number = c(2L,_
  2L, 9L, 10L, 1L