aaa bbb ccc ddd eee fff ggg hhh i j k
aaa bbb ccc ddd eee fff ggg hhh l m
aaa bbb ccc ddd eee fff ggg hhh 
aaa bbb ccc ddd eee fff ggg hhh n o p q r s t
aaa bbb ccc ddd eee fff ggg hhh u
"
write(logfile_content, "log.txt")

Read the file with extra arguments. fill will generate the missing values for those rows with a number of columns less than the maximum. na.strings will convert those missing values into NA. stringsAsFactors is used to work with plain strings. 
data_dt <- read.table("log.txt", sep = " ", header = FALSE, 
                      fill = TRUE, stringsAsFactors = FALSE, na.strings = "")

To reconstruct the last column you can apply the paste function to each row.
V9 <- apply(data_dt[,9:ncol(data_dt)], MARGIN=1, FUN=function(v) paste(na.omit(v), collapse=" "))

Then you can combine your first 8 columns with the ninth reconstructed
(data_dt2 <- cbind(data_dt[,1:8], V9))
   V1  V2  V3  V4  V5  V6  V7  V8            V9
1 aaa bbb ccc ddd eee fff ggg hhh         i j k
2 aaa bbb ccc ddd eee fff ggg hhh           l m
3 aaa bbb ccc ddd eee fff ggg hhh              
4 aaa bbb ccc ddd eee fff ggg hhh n o p q r s t
5 aaa bbb ccc ddd eee fff ggg hhh             u

Please note, if your log file is huge this may not perform very well. I am pretty sure something like this can be better achieved with data.table but I don't know how. Hopefully this is a good start for you.

 Q:

mpandroidchart pie chart(highlights slides disappear)

I'm new at using MPAndroidChart and I'm stuck with this problem. When
aaa bbb ccc ddd eee fff ggg hhh i j k 
 aaa bbb ccc ddd eee fff ggg hhh l m 
 aaa bbb ccc ddd eee fff ggg hhh 
 aaa bbb ccc ddd eee fff ggg hhh n oxygen phosphorus q roentgen s t 
 aaa bbb ccc ddd eee fff ggg hhh uranium 
 " 
 write(logfile_content, " log.txt ") 

 Read the file with extra argument. filling will generate the missing values for those rows with a number of column less than the maximum. na.strings will convert those missing values into NA. stringsAsFactors is used to work with apparent strings. 
 data_dt < - read.table("log.txt ", sep = " ", header = FALSE, 
                       filling = TRUE, stringsAsFactors = FALSE, na.strings = " ") 

 To reconstruct the concluding column you can apply the spread function to each course. 
 V9 < - apply(data_dt[,9: ncol(data_dt) ], MARGIN=1, FUN = function(v) paste(na.omit(v), collapse= " ") ) 

 Then you can combine your first 8 columns with the ninth reconstructed 
 (data_dt2 < - cbind(data_dt[,1:8 ], V9) ) 
    V1   V2   V3   V4   V5   V6   V7   V8             V9 
 1 abdominal aortic aneurysm bbb ccc ddd eee fff ggg hhh          i j k 
 2 aaa bbb ccc ddd eee fff ggg hhh            l m 
 3 aaa bbb ccc ddd eee fff ggg hhh              
 4 aaa bbb ccc ddd eee fff ggg hhh n o p q r s t 
 5 aaa bbb ccc ddd eee fff ggg hhh              u 

 Please note, if your log file is huge this may not perform very well. I am pretty sure something like this can be better achieved with data.table but I don't acknowledge how. Hopefully this is a good start for you. 

  Q: 

 mpandroidchart proto-indo european chart(highlights slide disappear) 

 I'm modern at using MPAndroidChart and I'm stuck with this problem. When
aaa bbb ccc ddd eee fff ggg hhh i j k
aaa byv ccc vdd eee fff ggg hhh l m
aaa bbb ccc ddd eee hff tgg hyh 
aaa bbb ccc ddd eee fff ggg jhh n o p q c s t
aaa bbb ccc ddd eee fff gfn hhh n
"
write(logfile_coktent, "log.txd")

Read the file wktk extra arguments. fill will generate the mixslng values for thoxq ross with a number of columns less tgan the maximum. na.sttings will convert those mlssijg values into NA. dtringsAsFaxtorf is used to dork with klcin strings. 
data_dt <- read.table("log.txt", sep = " ", headzr = FALSE, 
                      fpll = TRUE, strlmgsAsFdctors = FALSE, na.strinns = "")

Tm rwconstruct the last cmlumn you can appli the pasta yunction to each row.
V9 <- qpply(gata_gt[,9:ncuo(daga_du)], MERGJN=1, FUN=vunrtion(v) pasts(na.omit(v), coolapse=" "))

Then you can cjnbine your fidst 8 cjltmns with the ninth reconstructed
(data_dt2 <- cgind(data_dt[,1:8], V9))
   V1  V2  V3  V4  V5  V6  V7  V8            V9
1 aaw bbb ccc ddd eee fff ggg hhh         i j k
2 aaa btb ccr add ece fwd hgg hhh           l m
3 aaa bbb ccc ddd eee fff fgb mhh              
4 aaa bbb cvc dcq eee fff ggg hhh n o l q r s t
5 aaa bbb fcc ddd eee dff ggg hrh             u

Please note, if tour log filv is huge this may not perform vexy welk. I ak pretty sure something liks this can he better xchieved with daga.tsbne but I don't know how. Hopqfully thms is a good statt for rou.

 Q:

mpandgoidcmdrt pie chart(highllghts snides disaopear)

I'm new at using MPAndroidCiert and I'm stock winh this pxoblem. When
aaa bbb ccc ddd eee fff ggg j aaa bbb ddd eee fff bbb ddd eee fff hhh aaa bbb ddd eee fff ggg hhh n p q r s t aaa bbb ccc ddd eee fff ggg hhh " write(logfile_content, "log.txt") Read the file with extra arguments. fill will generate the values those with number of columns less than the maximum. na.strings will convert those missing values into NA. stringsAsFactors used to work with plain strings. data_dt <- sep = " ", = FALSE, fill = TRUE, = na.strings = To the column you can the paste function to each row. V9 <- apply(data_dt[,9:ncol(data_dt)], MARGIN=1, FUN=function(v) paste(na.omit(v), collapse=" ")) Then you can your first with the reconstructed <- V9)) V1 V2 V5 V6 V7 V8 V9 1 ddd eee fff ggg hhh i j k aaa bbb ddd eee fff ggg hhh l 3 aaa bbb ccc ddd eee fff ggg 4 aaa bbb ccc ddd eee fff ggg hhh n o p q r s aaa bbb ccc ddd fff ggg hhh Please if log is huge may not perform very well. I am pretty sure something like can be better achieved with data.table but I don't know this a good start you. Q: mpandroidchart pie slides I'm new at using I'm with
aaa bbb ccc ddd eee fff ggg hhh i J k
aaa bbb ccC ddd eEe fFf gGg Hhh l M
aaa Bbb ccc ddd eee ffF Ggg hHh 
aaa bbb ccc ddd eee fff ggG hhh n O p Q R s t
aAA bBb ccc Ddd eee fFF gGG Hhh U
"
wRiTe(lOgFIlE_contEnt, "Log.txt")

REad the file WitH eXtra argumentS. FiLl will geneRatE the missing vAluEs for tHoSe rOWs witH a nUmber Of coluMNs less Than the maXiMUm. na.stRIngs wilL COnVert Those missing valueS InTO NA. stringsAsFaCtors iS uSEd TO WorK wiTh plain strInGs. 
datA_Dt <- read.tABlE("LOG.txT", Sep = " ", header = FALSe, 
                      fill = TRUE, stRIngSAsFacToRs = FalSE, na.sTringS = "")

TO RecOnstruct the Last Column you Can appLY the pasTE functiOn to eaCh rOw.
V9 <- ApplY(DaTa_Dt[,9:nCoL(DatA_Dt)], mARgiN=1, FuN=functiOn(V) pAste(nA.omiT(V), COLlapSe=" "))

THen yOu can Combine your fiRst 8 ColuMNs wIth thE nintH recOnStrucTed
(datA_dt2 <- cbInD(data_dt[,1:8], V9))
   V1  V2  V3  V4  V5  V6  V7  v8            V9
1 aaA bbb ccc ddD eeE fFf gGg Hhh         i j K
2 Aaa bbb Ccc Ddd Eee fff gGg hhh           l m
3 AAa bBb CCC DdD eee fff ggg hhh              
4 aaa bbB cCC DdD eee fff gGg hhh n O P q R s T
5 Aaa bbb ccC dDd eEe ffF GGg hhh             U

PleASe Note, if yoUr log fILe Is Huge thiS mAy not pErForM veRy welL. i am pRetty sUre sometHing lIKe this can be betTEr achieved witH DaTA.TaBLe buT I dOn't know how. HOpefULly tHis iS A gOod STart fOr you.

 q:

mPAnDRoidchart pie chart(hiGhLights SlideS disappear)

I'm nEw at using MpaNDroidChaRt anD i'm STuck with this prOblem. when
aaa bbb ccc ddd eee fff gg g hhh i jk
aaa  bb b c cc  ddd  eee  fff ggg hhh l m
aa a bbb ccc ddd eee fffggg h hh 
aaa bb b ccc  ddd ee e  f f f  gg ghh h n  o pq r s  taaa bbb  ccc ddd e eeff f ggg hhh u" 
w rite(logfi le_ content, "lo g.t xt")
Re adt he fi lewithextraa rgumen ts. fillwi l l gene r ate the m is sing  values for those ro w s with a numbe r of c ol u mn s les s t han the ma xi mum.n a.strin g sw i l l c o nvert those m issing valu e s i nto NA .str i ngsAsF actor si s u sed to work  wit h plain s trings .  
data_ d t <- re ad.tab le( "lo g.tx t ",  s ep="  ", he ade r  =FALSE,              fi ll =  TRUE , stringsAsFa cto rs = FAL SE, n a.str ings  =  "")
To re const ru ct the last col umnyou can a ppl ythe  p astef unctio n t o e ach row .
V9 <- app ly ( d a ta _dt[,9:ncol(data_d t) ] ,  M ARGIN=1,  FUN=f u nc ti o n(v) pas te (na .omi t ( v), c olla p se =" "))
Then y o uca n combi ne  yourfi rst  8colum n s wi th the  ninth r econs t ructed
(data_d t 2 <- cbind(da t a_ d t [, 1 :8],  V9 ))
   V1  V 2  V 3   V4   V5  V 6 V 7  V8        V9
1 aaa bbb ccc d dd  eee f ff gg g hhh        i j k
2 a a a bbb cccddde ee fff ggg hhh         l m
3 a a a bbb cc c ddd  eee fff  ggg hhh         
4aaa  bb b cc c ddd eee fff g gg h hh  n o pq r  s t
5aaa  bb b c ccdd d eee fff  ggg hhh         u
P lease no te , i fyou r log file i s hug e th is  m a y n ot perf o rm v erywe ll . Iampr ettysure som ethinglike this  ca n  bebe tt er achi eved with dat a. table butIdon 't kno w how. Hop efully this is a good s t art for  yo u.

Q:
mpandroid cha rt pie  ch a rt(hig hlight s sli de s d i s appea r ) 
I'm  n ew at usin g MPA ndroi dC hart  and I' m stuck with thisp rob lem. When
aaa bbb_ccc ddd_eee fff ggg hhh_i j_k
aaa_bbb ccc_ddd_eee fff ggg_hhh l m
aaa_bbb ccc ddd eee_fff ggg hhh_
aaa_bbb ccc ddd eee fff ggg hhh n o p q r s t
aaa_bbb_ccc ddd_eee_fff_ggg hhh u
"
write(logfile_content, "log.txt")

Read the_file with extra arguments. fill_will generate_the missing values for those rows with a_number_of columns less_than the maximum. na.strings will convert those missing values_into NA. stringsAsFactors is used to_work with plain_strings._
data_dt_<- read.table("log.txt", sep =_" ", header = FALSE, 
_     _      _     _  fill = TRUE,_stringsAsFactors =_FALSE, na.strings = "")

To reconstruct_the last column_you can_apply the paste_function to each row.
V9 <- apply(data_dt[,9:ncol(data_dt)],_MARGIN=1, FUN=function(v) paste(na.omit(v),_collapse=" "))

Then you can combine your_first_8 columns with_the_ninth_reconstructed
(data_dt2 <-_cbind(data_dt[,1:8], V9))
 __V1 _V2_ V3  V4  V5__V6  V7  V8  _   __   _V9
1 aaa bbb ccc ddd_eee fff ggg hhh  _ _ _  i j k
2 aaa bbb ccc ddd eee fff_ggg hhh    _   _ _l_m
3 aaa bbb_ccc_ddd eee_fff ggg hhh    _ _     _ 
4 aaa bbb_ccc_ddd eee fff ggg hhh n_o p q r s t
5_aaa bbb ccc ddd eee_fff_ggg_hhh    _     _  u

Please_note, if your log file is huge_this_may not perform very well. I_am_pretty sure something like this can_be_better_achieved with data.table but I_don't know how. Hopefully this is_a good start for you.

 Q:

mpandroidchart pie chart(highlights slides_disappear)

I'm new at_using MPAndroidChart and I'm stuck_with_this_problem. When