Hi, I have probably basic question, but I would be happy if somebody could help me with this: I have a dataframe where I want to assign a value to other column copying the value in previous row under some condition. Here is an example (dput on the end of message):> test[278:290,]datetime state state_bef state_new 279 2011-11-12 08:24:57 a 0 a 280 2011-11-12 08:31:42 b a b 281 2011-11-13 00:00:00 0 b b 282 2011-11-14 00:00:00 0 0 b 283 2011-11-15 00:00:00 0 0 0 284 2011-11-16 00:00:00 0 0 0 285 2011-11-17 00:00:00 0 0 0 286 2011-11-18 00:00:00 0 0 0 287 2011-11-19 00:00:00 0 0 0 288 2011-11-19 06:13:18 a 0 a 289 2011-11-19 06:40:06 b a b 290 2011-11-19 08:56:54 a b a 291 2011-11-19 09:19:39 b a b What I need is: if state != "0", the state_new==state if state == "0" & state_bef!="0", the state_new==state_bef if state == "0" & state_bef=="0", the state_new==state_bef of the previous row. The idea is when there is "00:00:00" in datetime, I need to repeat the last "state" value in the "state_new" I have tried various ifelse conditions and loops, the last is this, which doesn't work for all rows: test$state_new[test$state!="0"] <- test$state[test$state!="0"] test$state_new[test$state=="0" & test$state_bef!="0"] <- test$state_bef[test$state=="0" & test$state_bef!="0"] test$state_new[test$state=="0" & test$state_bef=="0"] <- test$state_new[test$state=="0" & test$state_bef=="0"] # doesn't work for all rows... This should be the result datetime state state_bef state_new 279 2011-11-12 08:24:57 a 0 a 280 2011-11-12 08:31:42 b a b 281 2011-11-13 00:00:00 0 b b 282 2011-11-14 00:00:00 0 0 b 283 2011-11-15 00:00:00 0 0 b 284 2011-11-16 00:00:00 0 0 b 285 2011-11-17 00:00:00 0 0 b 286 2011-11-18 00:00:00 0 0 b 287 2011-11-19 00:00:00 0 0 b 288 2011-11-19 06:13:18 a 0 a 289 2011-11-19 06:40:06 b a b 290 2011-11-19 08:56:54 a b a 291 2011-11-19 09:19:39 b a b In the dataframe I send as an example there is just one block of this repeated "0" values, but within real dataframe there are more blocks like that. Thanks for any ideas! Best regards, Zuzana> dput(test)structure(list(datetime = structure(c(1320264600, 1320265473, 1320266409, 1320266418, 1320266460, 1320267591, 1320268350, 1320268371, 1320276948, 1320277332, 1320278400, 1320280380, 1320283950, 1320283977, 1320286293, 1320287010, 1320287022, 1320287055, 1320287604, 1320288678, 1320295476, 1320296490, 1320296766, 1320300015, 1320319140, 1320320367, 1320331629, 1320333789, 1320354315, 1320355689, 1320360000, 1320364800, 1320366489, 1320378507, 1320378702, 1320393177, 1320394809, 1320412825, 1320413140, 1320417361, 1320418849, 1320418855, 1320419854, 1320419860, 1320420244, 1320420268, 1320420277, 1320451200, 1320452443, 1320455566, 1320455716, 1320455839, 1320455845, 1320455851, 1320455896, 1320456094, 1320456109, 1320457492, 1320458053, 1320460879, 1320465739, 1320465748, 1320466018, 1320469426, 1320469468, 1320475630, 1320476410, 1320482851, 1320489187, 1320490969, 1320495052, 1320495061, 1320519571, 1320519580, 1320519610, 1320520594, 1320520600, 1320520618, 1320520624, 1320520636, 1320526588, 1320527017, 1320537600, 1320554581, 1320554911, 1320554926, 1320554941, 1320571210, 1320573523, 1320608509, 1320609532, 1320611587, 1320616504, 1320616513, 1320616768, 1320618364, 1320620602, 1320620833, 1320622147, 1320623194, 1320624000, 1320632149, 1320632164, 1320632446, 1320646327, 1320646810, 1320663212, 1320663716, 1320665483, 1320665870, 1320666332, 1320666665, 1320666680, 1320666689, 1320666899, 1320666968, 1320668141, 1320668147, 1320669017, 1320669545, 1320670070, 1320670076, 1320670118, 1320670130, 1320670154, 1320670166, 1320670175, 1320670181, 1320670232, 1320670244, 1320670262, 1320670700, 1320671432, 1320671891, 1320672518, 1320673208, 1320673478, 1320673484, 1320673556, 1320673628, 1320673706, 1320673739, 1320673751, 1320673769, 1320673775, 1320673799, 1320673817, 1320673835, 1320673853, 1320674531, 1320675434, 1320675968, 1320676139, 1320676154, 1320676592, 1320677327, 1320677822, 1320678038, 1320678047, 1320678179, 1320678185, 1320678533, 1320679199, 1320679535, 1320679718, 1320682901, 1320683333, 1320684239, 1320684248, 1320684362, 1320685019, 1320685346, 1320685718, 1320686645, 1320710400, 1320711704, 1320712352, 1320721790, 1320722021, 1320722066, 1320722237, 1320730745, 1320730766, 1320730784, 1320730886, 1320730892, 1320730904, 1320730955, 1320731075, 1320731120, 1320731126, 1320731132, 1320731165, 1320731192, 1320731237, 1320731243, 1320731285, 1320731297, 1320731426, 1320731456, 1320731828, 1320731843, 1320731855, 1320731894, 1320731909, 1320731936, 1320731942, 1320731948, 1320732959, 1320739526, 1320739553, 1320747848, 1320747962, 1320752759, 1320757286, 1320774035, 1320774077, 1320780272, 1320781529, 1320796800, 1320809246, 1320809390, 1320809468, 1320809621, 1320809663, 1320811136, 1320811145, 1320812081, 1320812087, 1320812102, 1320812108, 1320812159, 1320812165, 1320812207, 1320812225, 1320812243, 1320812273, 1320812294, 1320812312, 1320812327, 1320812387, 1320812396, 1320812432, 1320812438, 1320873179, 1320879218, 1320881798, 1320883200, 1320883433, 1320886658, 1320889946, 1320893282, 1320893447, 1320904325, 1320905744, 1320943689, 1320944409, 1320948294, 1320948366, 1320949248, 1320949866, 1320950628, 1320952290, 1320953097, 1320954528, 1320954543, 1320954549, 1320958215, 1320961533, 1320969600, 1320972552, 1320973902, 1320974547, 1320974931, 1320985044, 1320985257, 1321056000, 1321086297, 1321086702, 1321142400, 1321228800, 1321315200, 1321401600, 1321488000, 1321574400, 1321660800, 1321683198, 1321684806, 1321693014, 1321694379 ), class = c("POSIXct", "POSIXt"), tzone = "GMT"), state = c("b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "0", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "0", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "0", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "0", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "0", "a", "b", "0", "0", "0", "0", "0", "0", "0", "a", "b", "a", "b"), state_bef = c("0", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "0", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "0", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "0", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "0", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "0", "a", "b", "0", "0", "0", "0", "0", "0", "0", "a", "b", "a"), state_new = c("b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "b", "a", "b", "a", "b", "a", "b", "b", "a", "b", "b", "b", "0", "0", "0", "0", "0", "a", "b", "a", "b")), .Names = c("datetime", "state", "state_bef", "state_new"), row.names = 2:291, class = "data.frame") <zuzanazajkova at ub.edu> [[alternative HTML version deleted]]
Hi Zuzana,>From your description it seems that you want to repeat the last"state_new" value when there are repeated zeros in both "state" and "state_bef". If that is the case, you may need to step through the data frame like this: for(drow in 1:(dim(test)[1])) { if(test$state[drow] != 0) test$state_new[drow]<-test$state[drow] else { if(test$state_bef[drow] != 0) test$state_new[drow]<-test$state_bef[drow] else test$state_new[drow]<-test$state_new[drow-1] } } This assumes that "state" and "state_bef" will never both be zero in the first row. If this might happen, you will have to add a "memory" variable (e.g. "state_last"), initialize it to whatever value you want and then set it equal to "state_new" at the end of each step. It may be possible to do this as you were attempting above using something like "rle", but I think it will be difficult. Jim On Wed, Jan 21, 2015 at 9:14 AM, zuzana zajkova <zuzulaz at gmail.com> wrote:> Hi, > > I have probably basic question, but I would be happy if somebody could help > me with this: > > I have a dataframe where I want to assign a value to other column copying > the value in previous row under some condition. > > Here is an example (dput on the end of message): > >> test[278:290,] > datetime state state_bef state_new > 279 2011-11-12 08:24:57 a 0 a > 280 2011-11-12 08:31:42 b a b > 281 2011-11-13 00:00:00 0 b b > 282 2011-11-14 00:00:00 0 0 b > 283 2011-11-15 00:00:00 0 0 0 > 284 2011-11-16 00:00:00 0 0 0 > 285 2011-11-17 00:00:00 0 0 0 > 286 2011-11-18 00:00:00 0 0 0 > 287 2011-11-19 00:00:00 0 0 0 > 288 2011-11-19 06:13:18 a 0 a > 289 2011-11-19 06:40:06 b a b > 290 2011-11-19 08:56:54 a b a > 291 2011-11-19 09:19:39 b a b > > > What I need is: > if state != "0", the state_new==state > if state == "0" & state_bef!="0", the state_new==state_bef > if state == "0" & state_bef=="0", the state_new==state_bef of the previous > row. > The idea is when there is "00:00:00" in datetime, I need to repeat the last > "state" value in the "state_new" > > I have tried various ifelse conditions and loops, the last is this, which > doesn't work for all rows: > > test$state_new[test$state!="0"] <- test$state[test$state!="0"] > test$state_new[test$state=="0" & test$state_bef!="0"] <- > test$state_bef[test$state=="0" & test$state_bef!="0"] > test$state_new[test$state=="0" & test$state_bef=="0"] <- > test$state_new[test$state=="0" & test$state_bef=="0"] # doesn't work for > all rows... > > This should be the result > > datetime state state_bef state_new > 279 2011-11-12 08:24:57 a 0 a > 280 2011-11-12 08:31:42 b a b > 281 2011-11-13 00:00:00 0 b b > 282 2011-11-14 00:00:00 0 0 b > 283 2011-11-15 00:00:00 0 0 b > 284 2011-11-16 00:00:00 0 0 b > 285 2011-11-17 00:00:00 0 0 b > 286 2011-11-18 00:00:00 0 0 b > 287 2011-11-19 00:00:00 0 0 b > 288 2011-11-19 06:13:18 a 0 a > 289 2011-11-19 06:40:06 b a b > 290 2011-11-19 08:56:54 a b a > 291 2011-11-19 09:19:39 b a b > > > In the dataframe I send as an example there is just one block of this > repeated "0" values, but within real dataframe there are more blocks like > that. > > Thanks for any ideas! > > Best regards, > > Zuzana > > > > > > >> dput(test) > structure(list(datetime = structure(c(1320264600, 1320265473, > 1320266409, 1320266418, 1320266460, 1320267591, 1320268350, 1320268371, > 1320276948, 1320277332, 1320278400, 1320280380, 1320283950, 1320283977, > 1320286293, 1320287010, 1320287022, 1320287055, 1320287604, 1320288678, > 1320295476, 1320296490, 1320296766, 1320300015, 1320319140, 1320320367, > 1320331629, 1320333789, 1320354315, 1320355689, 1320360000, 1320364800, > 1320366489, 1320378507, 1320378702, 1320393177, 1320394809, 1320412825, > 1320413140, 1320417361, 1320418849, 1320418855, 1320419854, 1320419860, > 1320420244, 1320420268, 1320420277, 1320451200, 1320452443, 1320455566, > 1320455716, 1320455839, 1320455845, 1320455851, 1320455896, 1320456094, > 1320456109, 1320457492, 1320458053, 1320460879, 1320465739, 1320465748, > 1320466018, 1320469426, 1320469468, 1320475630, 1320476410, 1320482851, > 1320489187, 1320490969, 1320495052, 1320495061, 1320519571, 1320519580, > 1320519610, 1320520594, 1320520600, 1320520618, 1320520624, 1320520636, > 1320526588, 1320527017, 1320537600, 1320554581, 1320554911, 1320554926, > 1320554941, 1320571210, 1320573523, 1320608509, 1320609532, 1320611587, > 1320616504, 1320616513, 1320616768, 1320618364, 1320620602, 1320620833, > 1320622147, 1320623194, 1320624000, 1320632149, 1320632164, 1320632446, > 1320646327, 1320646810, 1320663212, 1320663716, 1320665483, 1320665870, > 1320666332, 1320666665, 1320666680, 1320666689, 1320666899, 1320666968, > 1320668141, 1320668147, 1320669017, 1320669545, 1320670070, 1320670076, > 1320670118, 1320670130, 1320670154, 1320670166, 1320670175, 1320670181, > 1320670232, 1320670244, 1320670262, 1320670700, 1320671432, 1320671891, > 1320672518, 1320673208, 1320673478, 1320673484, 1320673556, 1320673628, > 1320673706, 1320673739, 1320673751, 1320673769, 1320673775, 1320673799, > 1320673817, 1320673835, 1320673853, 1320674531, 1320675434, 1320675968, > 1320676139, 1320676154, 1320676592, 1320677327, 1320677822, 1320678038, > 1320678047, 1320678179, 1320678185, 1320678533, 1320679199, 1320679535, > 1320679718, 1320682901, 1320683333, 1320684239, 1320684248, 1320684362, > 1320685019, 1320685346, 1320685718, 1320686645, 1320710400, 1320711704, > 1320712352, 1320721790, 1320722021, 1320722066, 1320722237, 1320730745, > 1320730766, 1320730784, 1320730886, 1320730892, 1320730904, 1320730955, > 1320731075, 1320731120, 1320731126, 1320731132, 1320731165, 1320731192, > 1320731237, 1320731243, 1320731285, 1320731297, 1320731426, 1320731456, > 1320731828, 1320731843, 1320731855, 1320731894, 1320731909, 1320731936, > 1320731942, 1320731948, 1320732959, 1320739526, 1320739553, 1320747848, > 1320747962, 1320752759, 1320757286, 1320774035, 1320774077, 1320780272, > 1320781529, 1320796800, 1320809246, 1320809390, 1320809468, 1320809621, > 1320809663, 1320811136, 1320811145, 1320812081, 1320812087, 1320812102, > 1320812108, 1320812159, 1320812165, 1320812207, 1320812225, 1320812243, > 1320812273, 1320812294, 1320812312, 1320812327, 1320812387, 1320812396, > 1320812432, 1320812438, 1320873179, 1320879218, 1320881798, 1320883200, > 1320883433, 1320886658, 1320889946, 1320893282, 1320893447, 1320904325, > 1320905744, 1320943689, 1320944409, 1320948294, 1320948366, 1320949248, > 1320949866, 1320950628, 1320952290, 1320953097, 1320954528, 1320954543, > 1320954549, 1320958215, 1320961533, 1320969600, 1320972552, 1320973902, > 1320974547, 1320974931, 1320985044, 1320985257, 1321056000, 1321086297, > 1321086702, 1321142400, 1321228800, 1321315200, 1321401600, 1321488000, > 1321574400, 1321660800, 1321683198, 1321684806, 1321693014, 1321694379 > ), class = c("POSIXct", "POSIXt"), tzone = "GMT"), state = c("b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "0", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "0", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "0", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "0", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "0", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "0", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "0", "a", "b", "a", "b", > "a", "b", "0", "a", "b", "0", "0", "0", "0", "0", "0", "0", "a", > "b", "a", "b"), state_bef = c("0", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "0", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "0", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "0", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "0", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "0", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "0", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "0", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "0", "a", "b", > "0", "0", "0", "0", "0", "0", "0", "a", "b", "a"), state_new = c("b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "a", > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > "a", "b", "a", "b", "a", "b", "a", "b", "b", "a", "b", "a", "b", > "a", "b", "b", "a", "b", "b", "b", "0", "0", "0", "0", "0", "a", > "b", "a", "b")), .Names = c("datetime", "state", "state_bef", > "state_new"), row.names = 2:291, class = "data.frame") > > <zuzanazajkova at ub.edu> > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.
Hi Jim,
your code works just perfectly, it is exactly what I was looking for, thank
you very much!!! I'm glad to learn something new, I haven't seen the use
of
"drow in 1:(dim(all)[1])" before.
I made the code a bit shorter, excluding the use of "stat_bef" column,
which I created just for my intents with loops.
# simplified version without "state_bef"
for(drow in 1:(dim(test)[1])) {
if(test$state[drow] != "0")
test$state_new[drow]<-test$state[drow]
else {
test$state_new[drow]<-test$state_new[drow-1]
}
}
Best wishes,
Zuzana
On 21 January 2015 at 00:20, Jim Lemon <drjimlemon at gmail.com> wrote:
> Hi Zuzana,
> From your description it seems that you want to repeat the last
> "state_new" value when there are repeated zeros in both
"state" and
> "state_bef". If that is the case, you may need to step through
the
> data frame like this:
>
> for(drow in 1:(dim(test)[1])) {
> if(test$state[drow] != 0) test$state_new[drow]<-test$state[drow]
> else {
> if(test$state_bef[drow] != 0)
test$state_new[drow]<-test$state_bef[drow]
> else test$state_new[drow]<-test$state_new[drow-1]
> }
> }
>
> This assumes that "state" and "state_bef" will never
both be zero in
> the first row. If this might happen, you will have to add a
"memory"
> variable (e.g. "state_last"), initialize it to whatever value you
want
> and then set it equal to "state_new" at the end of each step.
>
> It may be possible to do this as you were attempting above using
> something like "rle", but I think it will be difficult.
>
> Jim
>
>
> On Wed, Jan 21, 2015 at 9:14 AM, zuzana zajkova <zuzulaz at
gmail.com> wrote:
> > Hi,
> >
> > I have probably basic question, but I would be happy if somebody could
> help
> > me with this:
> >
> > I have a dataframe where I want to assign a value to other column
copying
> > the value in previous row under some condition.
> >
> > Here is an example (dput on the end of message):
> >
> >> test[278:290,]
> > datetime state state_bef state_new
> > 279 2011-11-12 08:24:57 a 0 a
> > 280 2011-11-12 08:31:42 b a b
> > 281 2011-11-13 00:00:00 0 b b
> > 282 2011-11-14 00:00:00 0 0 b
> > 283 2011-11-15 00:00:00 0 0 0
> > 284 2011-11-16 00:00:00 0 0 0
> > 285 2011-11-17 00:00:00 0 0 0
> > 286 2011-11-18 00:00:00 0 0 0
> > 287 2011-11-19 00:00:00 0 0 0
> > 288 2011-11-19 06:13:18 a 0 a
> > 289 2011-11-19 06:40:06 b a b
> > 290 2011-11-19 08:56:54 a b a
> > 291 2011-11-19 09:19:39 b a b
> >
> >
> > What I need is:
> > if state != "0", the state_new==state
> > if state == "0" & state_bef!="0", the
state_new==state_bef
> > if state == "0" & state_bef=="0", the
state_new==state_bef of the
> previous
> > row.
> > The idea is when there is "00:00:00" in datetime, I need to
repeat the
> last
> > "state" value in the "state_new"
> >
> > I have tried various ifelse conditions and loops, the last is this,
which
> > doesn't work for all rows:
> >
> > test$state_new[test$state!="0"] <-
test$state[test$state!="0"]
> > test$state_new[test$state=="0" &
test$state_bef!="0"] <-
> > test$state_bef[test$state=="0" &
test$state_bef!="0"]
> > test$state_new[test$state=="0" &
test$state_bef=="0"] <-
> > test$state_new[test$state=="0" &
test$state_bef=="0"] # doesn't work for
> > all rows...
> >
> > This should be the result
> >
> > datetime state state_bef state_new
> > 279 2011-11-12 08:24:57 a 0 a
> > 280 2011-11-12 08:31:42 b a b
> > 281 2011-11-13 00:00:00 0 b b
> > 282 2011-11-14 00:00:00 0 0 b
> > 283 2011-11-15 00:00:00 0 0 b
> > 284 2011-11-16 00:00:00 0 0 b
> > 285 2011-11-17 00:00:00 0 0 b
> > 286 2011-11-18 00:00:00 0 0 b
> > 287 2011-11-19 00:00:00 0 0 b
> > 288 2011-11-19 06:13:18 a 0 a
> > 289 2011-11-19 06:40:06 b a b
> > 290 2011-11-19 08:56:54 a b a
> > 291 2011-11-19 09:19:39 b a b
> >
> >
> > In the dataframe I send as an example there is just one block of this
> > repeated "0" values, but within real dataframe there are
more blocks like
> > that.
> >
> > Thanks for any ideas!
> >
> > Best regards,
> >
> > Zuzana
> >
> >
> >
> >
> >
> >
> >> dput(test)
> > structure(list(datetime = structure(c(1320264600, 1320265473,
> > 1320266409, 1320266418, 1320266460, 1320267591, 1320268350,
1320268371,
> > 1320276948, 1320277332, 1320278400, 1320280380, 1320283950,
1320283977,
> > 1320286293, 1320287010, 1320287022, 1320287055, 1320287604,
1320288678,
> > 1320295476, 1320296490, 1320296766, 1320300015, 1320319140,
1320320367,
> > 1320331629, 1320333789, 1320354315, 1320355689, 1320360000,
1320364800,
> > 1320366489, 1320378507, 1320378702, 1320393177, 1320394809,
1320412825,
> > 1320413140, 1320417361, 1320418849, 1320418855, 1320419854,
1320419860,
> > 1320420244, 1320420268, 1320420277, 1320451200, 1320452443,
1320455566,
> > 1320455716, 1320455839, 1320455845, 1320455851, 1320455896,
1320456094,
> > 1320456109, 1320457492, 1320458053, 1320460879, 1320465739,
1320465748,
> > 1320466018, 1320469426, 1320469468, 1320475630, 1320476410,
1320482851,
> > 1320489187, 1320490969, 1320495052, 1320495061, 1320519571,
1320519580,
> > 1320519610, 1320520594, 1320520600, 1320520618, 1320520624,
1320520636,
> > 1320526588, 1320527017, 1320537600, 1320554581, 1320554911,
1320554926,
> > 1320554941, 1320571210, 1320573523, 1320608509, 1320609532,
1320611587,
> > 1320616504, 1320616513, 1320616768, 1320618364, 1320620602,
1320620833,
> > 1320622147, 1320623194, 1320624000, 1320632149, 1320632164,
1320632446,
> > 1320646327, 1320646810, 1320663212, 1320663716, 1320665483,
1320665870,
> > 1320666332, 1320666665, 1320666680, 1320666689, 1320666899,
1320666968,
> > 1320668141, 1320668147, 1320669017, 1320669545, 1320670070,
1320670076,
> > 1320670118, 1320670130, 1320670154, 1320670166, 1320670175,
1320670181,
> > 1320670232, 1320670244, 1320670262, 1320670700, 1320671432,
1320671891,
> > 1320672518, 1320673208, 1320673478, 1320673484, 1320673556,
1320673628,
> > 1320673706, 1320673739, 1320673751, 1320673769, 1320673775,
1320673799,
> > 1320673817, 1320673835, 1320673853, 1320674531, 1320675434,
1320675968,
> > 1320676139, 1320676154, 1320676592, 1320677327, 1320677822,
1320678038,
> > 1320678047, 1320678179, 1320678185, 1320678533, 1320679199,
1320679535,
> > 1320679718, 1320682901, 1320683333, 1320684239, 1320684248,
1320684362,
> > 1320685019, 1320685346, 1320685718, 1320686645, 1320710400,
1320711704,
> > 1320712352, 1320721790, 1320722021, 1320722066, 1320722237,
1320730745,
> > 1320730766, 1320730784, 1320730886, 1320730892, 1320730904,
1320730955,
> > 1320731075, 1320731120, 1320731126, 1320731132, 1320731165,
1320731192,
> > 1320731237, 1320731243, 1320731285, 1320731297, 1320731426,
1320731456,
> > 1320731828, 1320731843, 1320731855, 1320731894, 1320731909,
1320731936,
> > 1320731942, 1320731948, 1320732959, 1320739526, 1320739553,
1320747848,
> > 1320747962, 1320752759, 1320757286, 1320774035, 1320774077,
1320780272,
> > 1320781529, 1320796800, 1320809246, 1320809390, 1320809468,
1320809621,
> > 1320809663, 1320811136, 1320811145, 1320812081, 1320812087,
1320812102,
> > 1320812108, 1320812159, 1320812165, 1320812207, 1320812225,
1320812243,
> > 1320812273, 1320812294, 1320812312, 1320812327, 1320812387,
1320812396,
> > 1320812432, 1320812438, 1320873179, 1320879218, 1320881798,
1320883200,
> > 1320883433, 1320886658, 1320889946, 1320893282, 1320893447,
1320904325,
> > 1320905744, 1320943689, 1320944409, 1320948294, 1320948366,
1320949248,
> > 1320949866, 1320950628, 1320952290, 1320953097, 1320954528,
1320954543,
> > 1320954549, 1320958215, 1320961533, 1320969600, 1320972552,
1320973902,
> > 1320974547, 1320974931, 1320985044, 1320985257, 1321056000,
1321086297,
> > 1321086702, 1321142400, 1321228800, 1321315200, 1321401600,
1321488000,
> > 1321574400, 1321660800, 1321683198, 1321684806, 1321693014, 1321694379
> > ), class = c("POSIXct", "POSIXt"), tzone =
"GMT"), state = c("b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"0", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"0", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "0", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "0",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "0",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"0", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "0", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "0",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "0",
"a", "b", "a", "b",
> > "a", "b", "0", "a",
"b", "0", "0", "0", "0",
"0", "0", "0", "a",
> > "b", "a", "b"), state_bef =
c("0", "b", "a", "b", "a",
"b", "a",
> > "b", "a", "b", "a",
"0", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "0",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "0", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "0", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "0",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "0",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "0", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "0", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "0",
"a", "b", "a", "b", "a",
"b", "0", "a", "b",
> > "0", "0", "0", "0",
"0", "0", "0", "a", "b",
"a"), state_new = c("b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "a",
> > "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a", "b",
> > "a", "b", "a", "b",
"a", "b", "a", "b", "b",
"a", "b", "a", "b",
> > "a", "b", "b", "a",
"b", "b", "b", "0", "0",
"0", "0", "0", "a",
> > "b", "a", "b")), .Names =
c("datetime", "state", "state_bef",
> > "state_new"), row.names = 2:291, class =
"data.frame")
> >
> > <zuzanazajkova at ub.edu>
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
[[alternative HTML version deleted]]
Hi
I am not sure if I catch it correctly but from your example state has preference
over state new except in the case where state is 0.
I would change state_bef 0 to NA and use na.locf function from zoo package.
test$state_bef[test$state_bef=="0"] <- NA
test$state_bef <- na.locf(test$state_bef, na.rm=FALSE)
test$state_new <- ifelse(test$state == "0",
as.character(test$state_bef), as.character(test$state))
library(zoo)
# as you failed to use dput for data I need to do some transformation before I
got appropriate object.
temp<-read.delim("clipboard", header=F, sep=" ")
temp<-t(temp)
temp<-t(temp[complete.cases(temp),])
temp<-data.frame(temp)
names(temp)[4:6]<-c("state", "state_bef",
"state_new")
# here is the code
temp$state_bef[temp$state_bef=="0"] <- NA
temp$state_bef <- na.locf(temp$state_bef, na.rm=FALSE)
temp$state_new <- ifelse(temp$state == "0",
as.character(temp$state_bef), as.character(temp$state))
temp
V1 V2 V3 state state_bef state_new
1 279 2011-11-12 08:24:57 a <NA> a
2 280 2011-11-12 08:31:42 b a b
3 281 2011-11-13 00:00:00 0 b b
4 282 2011-11-14 00:00:00 0 b b
5 283 2011-11-15 00:00:00 0 b b
6 284 2011-11-16 00:00:00 0 b b
7 285 2011-11-17 00:00:00 0 b b
8 286 2011-11-18 00:00:00 0 b b
9 287 2011-11-19 00:00:00 0 b b
10 288 2011-11-19 06:13:18 a b a
11 289 2011-11-19 06:40:06 b a b
12 290 2011-11-19 08:56:54 a b a
13 291 2011-11-19 09:19:39 b a b>
which results in desired solution.
Cheers
Petr
> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of zuzana
> zajkova
> Sent: Tuesday, January 20, 2015 11:15 PM
> To: r-help at r-project.org
> Subject: [R] Assign value to a row in dataframe
>
> Hi,
>
> I have probably basic question, but I would be happy if somebody could
> help
> me with this:
>
> I have a dataframe where I want to assign a value to other column
> copying
> the value in previous row under some condition.
>
> Here is an example (dput on the end of message):
>
> > test[278:290,]
> datetime state state_bef state_new
> 279 2011-11-12 08:24:57 a 0 a
> 280 2011-11-12 08:31:42 b a b
> 281 2011-11-13 00:00:00 0 b b
> 282 2011-11-14 00:00:00 0 0 b
> 283 2011-11-15 00:00:00 0 0 0
> 284 2011-11-16 00:00:00 0 0 0
> 285 2011-11-17 00:00:00 0 0 0
> 286 2011-11-18 00:00:00 0 0 0
> 287 2011-11-19 00:00:00 0 0 0
> 288 2011-11-19 06:13:18 a 0 a
> 289 2011-11-19 06:40:06 b a b
> 290 2011-11-19 08:56:54 a b a
> 291 2011-11-19 09:19:39 b a b
>
>
> What I need is:
> if state != "0", the state_new==state
> if state == "0" & state_bef!="0", the
state_new==state_bef
> if state == "0" & state_bef=="0", the
state_new==state_bef of the
> previous
> row.
> The idea is when there is "00:00:00" in datetime, I need to
repeat the
> last
> "state" value in the "state_new"
>
> I have tried various ifelse conditions and loops, the last is this,
> which
> doesn't work for all rows:
>
> test$state_new[test$state!="0"] <-
test$state[test$state!="0"]
> test$state_new[test$state=="0" &
test$state_bef!="0"] <-
> test$state_bef[test$state=="0" &
test$state_bef!="0"]
> test$state_new[test$state=="0" &
test$state_bef=="0"] <-
> test$state_new[test$state=="0" &
test$state_bef=="0"] # doesn't work
> for
> all rows...
>
> This should be the result
>
> datetime state state_bef state_new
> 279 2011-11-12 08:24:57 a 0 a
> 280 2011-11-12 08:31:42 b a b
> 281 2011-11-13 00:00:00 0 b b
> 282 2011-11-14 00:00:00 0 0 b
> 283 2011-11-15 00:00:00 0 0 b
> 284 2011-11-16 00:00:00 0 0 b
> 285 2011-11-17 00:00:00 0 0 b
> 286 2011-11-18 00:00:00 0 0 b
> 287 2011-11-19 00:00:00 0 0 b
> 288 2011-11-19 06:13:18 a 0 a
> 289 2011-11-19 06:40:06 b a b
> 290 2011-11-19 08:56:54 a b a
> 291 2011-11-19 09:19:39 b a b
>
>
> In the dataframe I send as an example there is just one block of this
> repeated "0" values, but within real dataframe there are more
blocks
> like
> that.
>
> Thanks for any ideas!
>
> Best regards,
>
> Zuzana
>
>
>
>
>
>
> > dput(test)
> structure(list(datetime = structure(c(1320264600, 1320265473,
> 1320266409, 1320266418, 1320266460, 1320267591, 1320268350, 1320268371,
> 1320276948, 1320277332, 1320278400, 1320280380, 1320283950, 1320283977,
> 1320286293, 1320287010, 1320287022, 1320287055, 1320287604, 1320288678,
> 1320295476, 1320296490, 1320296766, 1320300015, 1320319140, 1320320367,
> 1320331629, 1320333789, 1320354315, 1320355689, 1320360000, 1320364800,
> 1320366489, 1320378507, 1320378702, 1320393177, 1320394809, 1320412825,
> 1320413140, 1320417361, 1320418849, 1320418855, 1320419854, 1320419860,
> 1320420244, 1320420268, 1320420277, 1320451200, 1320452443, 1320455566,
> 1320455716, 1320455839, 1320455845, 1320455851, 1320455896, 1320456094,
> 1320456109, 1320457492, 1320458053, 1320460879, 1320465739, 1320465748,
> 1320466018, 1320469426, 1320469468, 1320475630, 1320476410, 1320482851,
> 1320489187, 1320490969, 1320495052, 1320495061, 1320519571, 1320519580,
> 1320519610, 1320520594, 1320520600, 1320520618, 1320520624, 1320520636,
> 1320526588, 1320527017, 1320537600, 1320554581, 1320554911, 1320554926,
> 1320554941, 1320571210, 1320573523, 1320608509, 1320609532, 1320611587,
> 1320616504, 1320616513, 1320616768, 1320618364, 1320620602, 1320620833,
> 1320622147, 1320623194, 1320624000, 1320632149, 1320632164, 1320632446,
> 1320646327, 1320646810, 1320663212, 1320663716, 1320665483, 1320665870,
> 1320666332, 1320666665, 1320666680, 1320666689, 1320666899, 1320666968,
> 1320668141, 1320668147, 1320669017, 1320669545, 1320670070, 1320670076,
> 1320670118, 1320670130, 1320670154, 1320670166, 1320670175, 1320670181,
> 1320670232, 1320670244, 1320670262, 1320670700, 1320671432, 1320671891,
> 1320672518, 1320673208, 1320673478, 1320673484, 1320673556, 1320673628,
> 1320673706, 1320673739, 1320673751, 1320673769, 1320673775, 1320673799,
> 1320673817, 1320673835, 1320673853, 1320674531, 1320675434, 1320675968,
> 1320676139, 1320676154, 1320676592, 1320677327, 1320677822, 1320678038,
> 1320678047, 1320678179, 1320678185, 1320678533, 1320679199, 1320679535,
> 1320679718, 1320682901, 1320683333, 1320684239, 1320684248, 1320684362,
> 1320685019, 1320685346, 1320685718, 1320686645, 1320710400, 1320711704,
> 1320712352, 1320721790, 1320722021, 1320722066, 1320722237, 1320730745,
> 1320730766, 1320730784, 1320730886, 1320730892, 1320730904, 1320730955,
> 1320731075, 1320731120, 1320731126, 1320731132, 1320731165, 1320731192,
> 1320731237, 1320731243, 1320731285, 1320731297, 1320731426, 1320731456,
> 1320731828, 1320731843, 1320731855, 1320731894, 1320731909, 1320731936,
> 1320731942, 1320731948, 1320732959, 1320739526, 1320739553, 1320747848,
> 1320747962, 1320752759, 1320757286, 1320774035, 1320774077, 1320780272,
> 1320781529, 1320796800, 1320809246, 1320809390, 1320809468, 1320809621,
> 1320809663, 1320811136, 1320811145, 1320812081, 1320812087, 1320812102,
> 1320812108, 1320812159, 1320812165, 1320812207, 1320812225, 1320812243,
> 1320812273, 1320812294, 1320812312, 1320812327, 1320812387, 1320812396,
> 1320812432, 1320812438, 1320873179, 1320879218, 1320881798, 1320883200,
> 1320883433, 1320886658, 1320889946, 1320893282, 1320893447, 1320904325,
> 1320905744, 1320943689, 1320944409, 1320948294, 1320948366, 1320949248,
> 1320949866, 1320950628, 1320952290, 1320953097, 1320954528, 1320954543,
> 1320954549, 1320958215, 1320961533, 1320969600, 1320972552, 1320973902,
> 1320974547, 1320974931, 1320985044, 1320985257, 1321056000, 1321086297,
> 1321086702, 1321142400, 1321228800, 1321315200, 1321401600, 1321488000,
> 1321574400, 1321660800, 1321683198, 1321684806, 1321693014, 1321694379
> ), class = c("POSIXct", "POSIXt"), tzone =
"GMT"), state = c("b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "0",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "0",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "0", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "0", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "0", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "0",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"0", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "0",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "0", "a",
"b", "a", "b",
> "a", "b", "0", "a", "b",
"0", "0", "0", "0", "0",
"0", "0", "a",
> "b", "a", "b"), state_bef = c("0",
"b", "a", "b", "a", "b",
"a",
> "b", "a", "b", "a", "0",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "0",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "0", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "0", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "0", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "0",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"0", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "0", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "0", "a",
"b", "a", "b", "a", "b",
"0", "a", "b",
> "0", "0", "0", "0", "0",
"0", "0", "a", "b", "a"),
state_new = c("b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "a", "b",
"a", "b", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "a",
> "b", "a", "b", "a", "b",
"a", "b", "a", "b", "a",
"b", "a", "b",
> "a", "b", "a", "b", "a",
"b", "a", "b", "b", "a",
"b", "a", "b",
> "a", "b", "b", "a", "b",
"b", "b", "0", "0", "0",
"0", "0", "a",
> "b", "a", "b")), .Names =
c("datetime", "state", "state_bef",
> "state_new"), row.names = 2:291, class = "data.frame")
>
> <zuzanazajkova at ub.edu>
>
> [[alternative HTML version deleted]]
>
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Hi Petr, your solution works also perfectly, thanks a lot! Again, I have learned new things :) (Sorry for problems with the dput...) Best wishes, Zuzana <zuzanazajkova at ub.edu> On 21 January 2015 at 11:57, PIKAL Petr <petr.pikal at precheza.cz> wrote:> Hi > > I am not sure if I catch it correctly but from your example state has > preference over state new except in the case where state is 0. > > I would change state_bef 0 to NA and use na.locf function from zoo package. > > test$state_bef[test$state_bef=="0"] <- NA > test$state_bef <- na.locf(test$state_bef, na.rm=FALSE) > test$state_new <- ifelse(test$state == "0", as.character(test$state_bef), > as.character(test$state)) > > library(zoo) > > # as you failed to use dput for data I need to do some transformation > before I got appropriate object. > > temp<-read.delim("clipboard", header=F, sep=" ") > temp<-t(temp) > temp<-t(temp[complete.cases(temp),]) > temp<-data.frame(temp) > names(temp)[4:6]<-c("state", "state_bef", "state_new") > > > # here is the code > temp$state_bef[temp$state_bef=="0"] <- NA > temp$state_bef <- na.locf(temp$state_bef, na.rm=FALSE) > temp$state_new <- ifelse(temp$state == "0", as.character(temp$state_bef), > as.character(temp$state)) > temp > V1 V2 V3 state state_bef state_new > 1 279 2011-11-12 08:24:57 a <NA> a > 2 280 2011-11-12 08:31:42 b a b > 3 281 2011-11-13 00:00:00 0 b b > 4 282 2011-11-14 00:00:00 0 b b > 5 283 2011-11-15 00:00:00 0 b b > 6 284 2011-11-16 00:00:00 0 b b > 7 285 2011-11-17 00:00:00 0 b b > 8 286 2011-11-18 00:00:00 0 b b > 9 287 2011-11-19 00:00:00 0 b b > 10 288 2011-11-19 06:13:18 a b a > 11 289 2011-11-19 06:40:06 b a b > 12 290 2011-11-19 08:56:54 a b a > 13 291 2011-11-19 09:19:39 b a b > > > > which results in desired solution. > > Cheers > Petr > > > > -----Original Message----- > > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of zuzana > > zajkova > > Sent: Tuesday, January 20, 2015 11:15 PM > > To: r-help at r-project.org > > Subject: [R] Assign value to a row in dataframe > > > > Hi, > > > > I have probably basic question, but I would be happy if somebody could > > help > > me with this: > > > > I have a dataframe where I want to assign a value to other column > > copying > > the value in previous row under some condition. > > > > Here is an example (dput on the end of message): > > > > > test[278:290,] > > datetime state state_bef state_new > > 279 2011-11-12 08:24:57 a 0 a > > 280 2011-11-12 08:31:42 b a b > > 281 2011-11-13 00:00:00 0 b b > > 282 2011-11-14 00:00:00 0 0 b > > 283 2011-11-15 00:00:00 0 0 0 > > 284 2011-11-16 00:00:00 0 0 0 > > 285 2011-11-17 00:00:00 0 0 0 > > 286 2011-11-18 00:00:00 0 0 0 > > 287 2011-11-19 00:00:00 0 0 0 > > 288 2011-11-19 06:13:18 a 0 a > > 289 2011-11-19 06:40:06 b a b > > 290 2011-11-19 08:56:54 a b a > > 291 2011-11-19 09:19:39 b a b > > > > > > What I need is: > > if state != "0", the state_new==state > > if state == "0" & state_bef!="0", the state_new==state_bef > > if state == "0" & state_bef=="0", the state_new==state_bef of the > > previous > > row. > > The idea is when there is "00:00:00" in datetime, I need to repeat the > > last > > "state" value in the "state_new" > > > > I have tried various ifelse conditions and loops, the last is this, > > which > > doesn't work for all rows: > > > > test$state_new[test$state!="0"] <- test$state[test$state!="0"] > > test$state_new[test$state=="0" & test$state_bef!="0"] <- > > test$state_bef[test$state=="0" & test$state_bef!="0"] > > test$state_new[test$state=="0" & test$state_bef=="0"] <- > > test$state_new[test$state=="0" & test$state_bef=="0"] # doesn't work > > for > > all rows... > > > > This should be the result > > > > datetime state state_bef state_new > > 279 2011-11-12 08:24:57 a 0 a > > 280 2011-11-12 08:31:42 b a b > > 281 2011-11-13 00:00:00 0 b b > > 282 2011-11-14 00:00:00 0 0 b > > 283 2011-11-15 00:00:00 0 0 b > > 284 2011-11-16 00:00:00 0 0 b > > 285 2011-11-17 00:00:00 0 0 b > > 286 2011-11-18 00:00:00 0 0 b > > 287 2011-11-19 00:00:00 0 0 b > > 288 2011-11-19 06:13:18 a 0 a > > 289 2011-11-19 06:40:06 b a b > > 290 2011-11-19 08:56:54 a b a > > 291 2011-11-19 09:19:39 b a b > > > > > > In the dataframe I send as an example there is just one block of this > > repeated "0" values, but within real dataframe there are more blocks > > like > > that. > > > > Thanks for any ideas! > > > > Best regards, > > > > Zuzana > > > > > > > > > > > > > > > dput(test) > > structure(list(datetime = structure(c(1320264600, 1320265473, > > 1320266409, 1320266418, 1320266460, 1320267591, 1320268350, 1320268371, > > 1320276948, 1320277332, 1320278400, 1320280380, 1320283950, 1320283977, > > 1320286293, 1320287010, 1320287022, 1320287055, 1320287604, 1320288678, > > 1320295476, 1320296490, 1320296766, 1320300015, 1320319140, 1320320367, > > 1320331629, 1320333789, 1320354315, 1320355689, 1320360000, 1320364800, > > 1320366489, 1320378507, 1320378702, 1320393177, 1320394809, 1320412825, > > 1320413140, 1320417361, 1320418849, 1320418855, 1320419854, 1320419860, > > 1320420244, 1320420268, 1320420277, 1320451200, 1320452443, 1320455566, > > 1320455716, 1320455839, 1320455845, 1320455851, 1320455896, 1320456094, > > 1320456109, 1320457492, 1320458053, 1320460879, 1320465739, 1320465748, > > 1320466018, 1320469426, 1320469468, 1320475630, 1320476410, 1320482851, > > 1320489187, 1320490969, 1320495052, 1320495061, 1320519571, 1320519580, > > 1320519610, 1320520594, 1320520600, 1320520618, 1320520624, 1320520636, > > 1320526588, 1320527017, 1320537600, 1320554581, 1320554911, 1320554926, > > 1320554941, 1320571210, 1320573523, 1320608509, 1320609532, 1320611587, > > 1320616504, 1320616513, 1320616768, 1320618364, 1320620602, 1320620833, > > 1320622147, 1320623194, 1320624000, 1320632149, 1320632164, 1320632446, > > 1320646327, 1320646810, 1320663212, 1320663716, 1320665483, 1320665870, > > 1320666332, 1320666665, 1320666680, 1320666689, 1320666899, 1320666968, > > 1320668141, 1320668147, 1320669017, 1320669545, 1320670070, 1320670076, > > 1320670118, 1320670130, 1320670154, 1320670166, 1320670175, 1320670181, > > 1320670232, 1320670244, 1320670262, 1320670700, 1320671432, 1320671891, > > 1320672518, 1320673208, 1320673478, 1320673484, 1320673556, 1320673628, > > 1320673706, 1320673739, 1320673751, 1320673769, 1320673775, 1320673799, > > 1320673817, 1320673835, 1320673853, 1320674531, 1320675434, 1320675968, > > 1320676139, 1320676154, 1320676592, 1320677327, 1320677822, 1320678038, > > 1320678047, 1320678179, 1320678185, 1320678533, 1320679199, 1320679535, > > 1320679718, 1320682901, 1320683333, 1320684239, 1320684248, 1320684362, > > 1320685019, 1320685346, 1320685718, 1320686645, 1320710400, 1320711704, > > 1320712352, 1320721790, 1320722021, 1320722066, 1320722237, 1320730745, > > 1320730766, 1320730784, 1320730886, 1320730892, 1320730904, 1320730955, > > 1320731075, 1320731120, 1320731126, 1320731132, 1320731165, 1320731192, > > 1320731237, 1320731243, 1320731285, 1320731297, 1320731426, 1320731456, > > 1320731828, 1320731843, 1320731855, 1320731894, 1320731909, 1320731936, > > 1320731942, 1320731948, 1320732959, 1320739526, 1320739553, 1320747848, > > 1320747962, 1320752759, 1320757286, 1320774035, 1320774077, 1320780272, > > 1320781529, 1320796800, 1320809246, 1320809390, 1320809468, 1320809621, > > 1320809663, 1320811136, 1320811145, 1320812081, 1320812087, 1320812102, > > 1320812108, 1320812159, 1320812165, 1320812207, 1320812225, 1320812243, > > 1320812273, 1320812294, 1320812312, 1320812327, 1320812387, 1320812396, > > 1320812432, 1320812438, 1320873179, 1320879218, 1320881798, 1320883200, > > 1320883433, 1320886658, 1320889946, 1320893282, 1320893447, 1320904325, > > 1320905744, 1320943689, 1320944409, 1320948294, 1320948366, 1320949248, > > 1320949866, 1320950628, 1320952290, 1320953097, 1320954528, 1320954543, > > 1320954549, 1320958215, 1320961533, 1320969600, 1320972552, 1320973902, > > 1320974547, 1320974931, 1320985044, 1320985257, 1321056000, 1321086297, > > 1321086702, 1321142400, 1321228800, 1321315200, 1321401600, 1321488000, > > 1321574400, 1321660800, 1321683198, 1321684806, 1321693014, 1321694379 > > ), class = c("POSIXct", "POSIXt"), tzone = "GMT"), state = c("b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "0", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "0", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "0", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "0", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "0", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "0", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "0", "a", "b", "a", "b", > > "a", "b", "0", "a", "b", "0", "0", "0", "0", "0", "0", "0", "a", > > "b", "a", "b"), state_bef = c("0", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "0", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "0", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "0", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "0", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "0", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "0", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "0", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "0", "a", "b", "a", "b", "a", "b", "0", "a", "b", > > "0", "0", "0", "0", "0", "0", "0", "a", "b", "a"), state_new = c("b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "a", > > "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", "a", "b", > > "a", "b", "a", "b", "a", "b", "a", "b", "b", "a", "b", "a", "b", > > "a", "b", "b", "a", "b", "b", "b", "0", "0", "0", "0", "0", "a", > > "b", "a", "b")), .Names = c("datetime", "state", "state_bef", > > "state_new"), row.names = 2:291, class = "data.frame") > > > > <zuzanazajkova at ub.edu> > > > > [[alternative HTML version deleted]] > > > > 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