user8959427
Reputation: 2067
adding a new column to a tibble after bind_rows from a list
I have some data in a list and I am trying to bind it to a data frame.
What I have so far is the following:
bind_rows(myData) %>%
as_tibble(.name_repair = "universal")
Which returns:
# A tibble: 8 x 50
..2013.Jul ..2013.Aug ..2013.Sep ..2013.Oct ..2013.Nov ..2013.Dec ..2014.Jan ..2014.Feb ..2014.Mar ..2014.Apr
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 5.87e-10 6.48e-9 5.18e-8 3.90e-8 1.35e-8 10.00e-1 8.89e-1 2.88e-10 8.48e-9 1.79e-10
2 10.00e- 1 8.75e-1 6.12e-1 10.00e-1 8.52e-9 2.06e-9 6.87e-9 1.73e-10 1.02e-8 2.01e-10
3 1.18e- 9 1.40e-8 2.64e-8 2.76e-8 5.56e-9 4.24e-9 1.35e-8 2.01e-10 8.91e-9 1.71e-10
4 2.66e- 9 1.25e-1 3.09e-7 4.72e-8 3.40e-9 1.12e-8 3.68e-8 2.69e-10 1.23e-8 1.72e-10
5 1.16e- 9 6.38e-9 6.29e-8 1.47e-7 4.01e-8 2.32e-8 6.88e-8 7.74e-10 1.28e-8 1.66e-10
6 1.41e- 9 1.65e-7 3.88e-1 1.89e-7 10.00e-1 1.41e-8 2.16e-8 1.93e-10 1.16e-8 1.72e-10
7 7.85e-10 4.37e-9 1.43e-8 2.13e-8 4.11e-9 8.18e-9 1.14e-7 10.00e- 1 10.00e-1 10.00e- 1
8 7.35e-10 3.98e-9 1.84e-8 4.98e-8 9.34e-9 1.56e-8 1.11e-1 3.99e-10 3.64e-8 1.27e-10
# … with 40 more variables: ..2014.May <dbl>, ..2014.Jun <dbl>, ..2014.Jul <dbl>, ..2014.Aug <dbl>,
# ..2014.Sep <dbl>, ..2014.Oct <dbl>, ..2014.Nov <dbl>, ..2014.Dec <dbl>, ..2015.Jan <dbl>, ..2015.Feb <dbl>,
# ..2015.Mar <dbl>, ..2015.Apr <dbl>, ..2015.May <dbl>, ..2015.Jun <dbl>, ..2015.Jul <dbl>, ..2015.Aug <dbl>,
# ..2015.Sep <dbl>, ..2015.Oct <dbl>, ..2015.Nov <dbl>, ..2015.Dec <dbl>, ..2016.Jan <dbl>, ..2016.Feb <dbl>,
# ..2016.Mar <dbl>, ..2016.Apr <dbl>, ..2016.May <dbl>, ..2016.Jun <dbl>, ..2016.Jul <dbl>, ..2016.Aug <dbl>,
# ..2016.Sep <dbl>, ..2016.Oct <dbl>, ..2016.Nov <dbl>, ..2016.Dec <dbl>, ..2017.Jan <dbl>, ..2017.Feb <dbl>,
# ..2017.Mar <dbl>, ..2017.Apr <dbl>, ..2017.May <dbl>, ..2017.Jun <dbl>, ..2017.Jul <dbl>, ..2017.Aug <dbl>
However I would like to put the column names in the list as a row in the tibble above. So the expected output will be the same as the above output but with as extra column consisting of the 8 column names.
I tried adding .id = ... to the bind_rows() function without luck.
Data
myData <- list(`2013 Jul` = c(AAPL = 0.000000000586668967179058, AMD = 0.999999991491099,
ADI = 0.00000000117911508574853, ABBV = 0.00000000265554743775555,
A = 0.00000000115748600545925, APD = 0.00000000141026403514149,
AA = 0.000000000784750220037462, CF = 0.00000000073506931568161
), `2013 Aug` = c(AAPL = 0.00000000648353317059087, AMD = 0.875365993858617,
ADI = 0.0000000140110878459388, ABBV = 0.124633806310419, A = 0.00000000638412638183004,
APD = 0.000000164595452907438, AA = 0.00000000437298323817569,
CF = 0.00000000398380634004841), `2013 Sep` = c(AAPL = 0.0000000517932941811509,
AMD = 0.612052960904497, ADI = 0.0000000263895584669299, ABBV = 0.000000309428734758588,
A = 0.0000000629317056732015, APD = 0.387946555852345, AA = 0.0000000142868308895674,
CF = 0.000000018412991125508), `2013 Oct` = c(AAPL = 0.0000000389953622626768,
AMD = 0.999999478508266, ADI = 0.0000000276335723565588, ABBV = 0.0000000472396807220791,
A = 0.000000147164957172584, APD = 0.000000189330239714144, AA = 0.0000000213345686039171,
CF = 0.0000000497933442521737), `2013 Nov` = c(AAPL = 0.0000000134882594924129,
AMD = 0.00000000852486962175739, ADI = 0.00000000555658190434702,
ABBV = 0.0000000033994343633049, A = 0.0000000401316113485585,
APD = 0.999999915449652, AA = 0.00000000410810324107976, CF = 0.00000000934149243627882
), `2013 Dec` = c(AAPL = 0.999999921441984, AMD = 0.00000000205795205438493,
ADI = 0.00000000423942527570848, ABBV = 0.0000000111785276644757,
A = 0.0000000231550299007735, APD = 0.0000000141357214257506,
AA = 0.0000000081755174177734, CF = 0.000000015615836503074),
`2014 Jan` = c(AAPL = 0.888971396625332, AMD = 0.00000000687305696872764,
ADI = 0.0000000135348498626975, ABBV = 0.0000000368238505712531,
A = 0.0000000688076137965325, APD = 0.0000000216336902755598,
AA = 0.000000114183497113198, CF = 0.111028341518231), `2014 Feb` = c(AAPL = 0.000000000287503646141229,
AMD = 0.00000000017299912515279, ADI = 0.00000000020121937413004,
ABBV = 0.000000000268597317218042, A = 0.000000000774330625502137,
APD = 0.000000000193444545552257, AA = 0.999999997703134,
CF = 0.00000000039877049802864), `2014 Mar` = c(AAPL = 0.00000000848275956986802,
AMD = 0.0000000101635279442106, ADI = 0.00000000890671802341545,
ABBV = 0.0000000123427116789235, A = 0.0000000128226204295672,
APD = 0.0000000116011326797601, AA = 0.999999899248701, CF = 0.0000000364318073574497
), `2014 Apr` = c(AAPL = 0.000000000178638433702948, AMD = 0.000000000201400531551947,
ADI = 0.000000000170858232539827, ABBV = 0.00000000017214475074626,
A = 0.000000000166251996942934, APD = 0.000000000171547529586083,
AA = 0.999999998812376, CF = 0.000000000126784967469039),
`2014 May` = c(AAPL = 0.00000000825806016148428, AMD = 0.0000000242915432998119,
ADI = 0.00000000902664119089424, ABBV = 0.00000000896958354624411,
A = 0.0000000083777905585742, APD = 0.00000000865744715093347,
AA = 0.999999927255364, CF = 0.00000000516360459818763),
`2014 Jun` = c(AAPL = 0.00000000734100999564067, AMD = 0.0000000150503103256137,
ADI = 0.00000000757160064141869, ABBV = 0.00000000752654566025119,
A = 0.00000000920488818587725, APD = 0.00000000777588973470341,
AA = 0.999999941568228, CF = 0.00000000396155112883834),
`2014 Jul` = c(AAPL = 0.0000000119578338582021, AMD = 0.0000000190757084972887,
ADI = 0.0000000124551508506746, ABBV = 0.0000000126961984867664,
A = 0.0000000123508310694958, APD = 0.00000000690328396557648,
AA = 0.999999911719115, CF = 0.0000000128419142551259), `2014 Aug` = c(AAPL = 0.00000000646906408561993,
AMD = 0.000000001303588036132, ADI = 0.000000000747010166353616,
ABBV = 0.000000000809939898421209, A = 0.00000000062269403754113,
APD = 0.000000000823270056169483, AA = 0.999999988354505,
CF = 0.00000000086993291352539), `2014 Sep` = c(AAPL = 0.0000000901118220392747,
AMD = 0.00000000603735343176297, ADI = 0.00000000378512145849581,
ABBV = 0.00000000492519244094702, A = 0.00000000375282459701689,
APD = 0.00000000503099867563458, AA = 0.999999881793338,
CF = 0.00000000456335948026506), `2014 Oct` = c(AAPL = 0.999999998342956,
AMD = 0.000000000195198963169757, ADI = 0.000000000240015381676352,
ABBV = 0.000000000184703007590507, A = 0.000000000283879369466089,
APD = 0.0000000002704403119698, AA = 0.000000000249037261290181,
CF = 0.00000000023377012441852), `2014 Nov` = c(AAPL = 0.999999995039756,
AMD = 0.000000000183029820076064, ADI = 0.000000000444285807717282,
ABBV = 0.000000000545203064171254, A = 0.000000000520291866342424,
APD = 0.000000000710859506608269, AA = 0.00000000191423124920871,
CF = 0.000000000642343105905816), `2014 Dec` = c(AAPL = 0.999999995249817,
AMD = 0.000000000109663138429794, ADI = 0.000000000283239699166041,
ABBV = 0.00000000253526824211668, A = 0.000000000288982009691795,
APD = 0.000000000245503991889989, AA = 0.00000000100859772494323,
CF = 0.000000000278927871649668), `2015 Jan` = c(AAPL = 0.548118373387362,
AMD = 0.000000000270338711703369, ADI = 0.000000000776748222321511,
ABBV = 0.0000000243999618190709, A = 0.000000000647430017645498,
APD = 0.00000000165146468286352, AA = 0.00000000084119610220479,
CF = 0.451881598025498), `2015 Feb` = c(AAPL = 0.00000000550839494029532,
AMD = 0.000000000224431057557578, ADI = 0.000000000642567878702245,
ABBV = 0.000000000897791575951834, A = 0.000000000498886385267618,
APD = 0.000000000419805317431017, AA = 0.00000000048819610035365,
CF = 0.999999991319929), `2015 Mar` = c(AAPL = 0.68000607113785,
AMD = 0.00000000031822717876807, ADI = 0.00000000199652727037945,
ABBV = 0.00000000127616815956661, A = 0.000000000800272447770001,
APD = 0.00000000259052942770996, AA = 0.000000000465698346338894,
CF = 0.319993921414741), `2015 Apr` = c(AAPL = 0.0000000436360159538407,
AMD = 0.000000000605447129517975, ADI = 0.999999948835757,
ABBV = 0.00000000129608719630545, A = 0.00000000127146465671572,
APD = 0.00000000194029885408758, AA = 0.000000000642209093616402,
CF = 0.00000000177272268067319), `2015 May` = c(AAPL = 0.000000000245005073883088,
AMD = 0.000000000233066377451242, ADI = 0.999999997008782,
ABBV = 0.000000000498208702611887, A = 0.000000000502457143741384,
APD = 0.000000000547806981727115, AA = 0.000000000225823605106238,
CF = 0.000000000738851006789527), `2015 Jun` = c(AAPL = 0.00000000579400348232152,
AMD = 0.0000000017770566930171, ADI = 0.96317539082826, ABBV = 0.00000000309471150814288,
A = 0.00000000295196439965615, APD = 0.00000000392289074531856,
AA = 0.00000000137583562470442, CF = 0.0368245902552171),
`2015 Jul` = c(AAPL = 0.000000000268765784259825, AMD = 0.000000000368619127114303,
ADI = 0.000000000639129145047201, ABBV = 0.000000000547257200604174,
A = 0.000000000417286558654894, APD = 0.000000000421635615531905,
AA = 0.000000000182211224492934, CF = 0.999999997155096),
`2015 Aug` = c(AAPL = 0.00000000155223986626911, AMD = 0.000000000455688776102372,
ADI = 0.00000000756888774452725, ABBV = 0.999999986442286,
A = 0.00000000104291324702958, APD = 0.00000000116350848624178,
AA = 0.000000000327145665872367, CF = 0.00000000144733269080328
), `2015 Sep` = c(AAPL = 0.000000000509060404665308, AMD = 0.000000000167423393270364,
ADI = 0.000000000190108215158462, ABBV = 0.999999997373043,
A = 0.000000000450819674508831, APD = 0.000000000485618777766515,
AA = 0.000000000208163846577404, CF = 0.00000000061576315955172
), `2015 Oct` = c(AAPL = 0.0000000208300299141024, AMD = 0.0000000100600307297717,
ADI = 0.0000000127031721873714, ABBV = 0.999999897459721,
A = 0.0000000104078896103739, APD = 0.0000000102817159465299,
AA = 0.0000000183774281432957, CF = 0.0000000198800117767488
), `2015 Nov` = c(AAPL = 0.000000511650452995881, AMD = 0.000000112271950334638,
ADI = 0.219573489785576, ABBV = 0.000000132126315658583,
A = 0.0000000712278827829666, APD = 0.780425610769241, AA = 0.0000000120539749085508,
CF = 0.0000000601146061694847), `2015 Dec` = c(AAPL = 0.0000000145699888969055,
AMD = 0.122340004736447, ADI = 0.000000019159573174767, ABBV = 0.0000000156839685578602,
A = 0.877659921466186, APD = 0.00000000443064439569462, AA = 0.0000000102795965569221,
CF = 0.00000000967358600186237), `2016 Jan` = c(AAPL = 0.0000000205286719439008,
AMD = 0.55790216137549, ADI = 0.0000000223965710896714, ABBV = 0.0000000267935043263925,
A = 0.442097689496723, APD = 0.000000044622647624101, AA = 0.0000000252256379873006,
CF = 0.00000000956075364687753), `2016 Feb` = c(AAPL = 0.0000000238098866730783,
AMD = 0.999999607514308, ADI = 0.000000127857339122186, ABBV = 0.0000000231427648750923,
A = 0.000000125463927048533, APD = 0.0000000724117703188513,
AA = 0.0000000139802364993169, CF = 0.00000000581986359903877
), `2016 Mar` = c(AAPL = 0.0000000134902262402952, AMD = 0.848176180854655,
ADI = 0.0000000271825291039561, ABBV = 0.0000000168290505666805,
A = 0.151823705396409, APD = 0.0000000320891409964657, AA = 0.0000000190285725045248,
CF = 0.00000000512942270603603), `2016 Apr` = c(AAPL = 0.00000000525280746826918,
AMD = 0.999999955207798, ADI = 0.00000000629740469682576,
ABBV = 0.0000000070649297069453, A = 0.00000000981300601018476,
APD = 0.00000000949645275868385, AA = 0.00000000447779392490808,
CF = 0.0000000023898107586833), `2016 May` = c(AAPL = 0.00000000476925910252097,
AMD = 0.875218543005072, ADI = 0.00000000737352864661052,
ABBV = 0.00000000961152220481324, A = 0.00000000987259648603145,
APD = 0.0000000106598526904592, AA = 0.124781411263088, CF = 0.00000000344513009293904
), `2016 Jun` = c(AAPL = 0.00000000233822314264502, AMD = 0.999999974180517,
ADI = 0.00000000319793181566279, ABBV = 0.0000000058081254756031,
A = 0.00000000549929761858113, APD = 0.0000000046457114183394,
AA = 0.00000000305908916623466, CF = 0.00000000127116105985451
), `2016 Jul` = c(AAPL = 0.000000000395874096582675, AMD = 0.999999996670861,
ADI = 0.000000000554700138665486, ABBV = 0.000000000617688510949077,
A = 0.000000000604229861088835, APD = 0.000000000632338922598928,
AA = 0.000000000357580140796652, CF = 0.00000000016675079316293
), `2016 Aug` = c(AAPL = 0.000000000902238644696965, AMD = 0.999999992886332,
ADI = 0.00000000101775752912872, ABBV = 0.00000000106175415113571,
A = 0.00000000112109995645813, APD = 0.0000000010197683551329,
AA = 0.00000000132493521912968, CF = 0.000000000666142297875307
), `2016 Sep` = c(AAPL = 0.00000000247544480088939, AMD = 0.999999982857795,
ADI = 0.00000000259124594044507, ABBV = 0.00000000263590869088259,
A = 0.00000000271802756464799, APD = 0.0000000025961018252506,
AA = 0.00000000236370665980815, CF = 0.00000000176183742254325
), `2016 Oct` = c(AAPL = 0.0000000021640409658938, AMD = 0.999999984319123,
ADI = 0.00000000234757843065035, ABBV = 0.00000000255919093387747,
A = 0.0000000029041239375753, APD = 0.00000000219206665331904,
AA = 0.00000000215271552270588, CF = 0.00000000136120100682662
), `2016 Nov` = c(AAPL = 0.00000000580464296578016, AMD = 0.999999970611118,
ADI = 0.00000000500259684294652, ABBV = 0.00000000350606128040158,
A = 0.00000000434162176313208, APD = 0.0000000039129699233732,
AA = 0.00000000356942789862379, CF = 0.00000000325166941406765
), `2016 Dec` = c(AAPL = 0.00000000142958422924844, AMD = 0.999999988868272,
ADI = 0.00000000227081606055565, ABBV = 0.00000000109358361965842,
A = 0.00000000102347148214705, APD = 0.00000000144579838411725,
AA = 0.00000000252717010349114, CF = 0.00000000134130218000496
), `2017 Jan` = c(AAPL = 0.000000000236274501483694, AMD = 0.99999999828866,
ADI = 0.000000000264474716848254, ABBV = 0.000000000172277280065025,
A = 0.000000000172593183929414, APD = 0.000000000196829820802072,
AA = 0.000000000261288039963774, CF = 0.000000000407608841788685
), `2017 Feb` = c(AAPL = 0.00000000538580163047065, AMD = 0.458780262611877,
ADI = 0.00000000538918654816081, ABBV = 0.00000000261100269544006,
A = 0.00000000319930373731615, APD = 0.00000000331397396374686,
AA = 0.117293413296822, CF = 0.423926304192083), `2017 Mar` = c(AAPL = 0.00000000660741118663803,
AMD = 0.999999956653066, ADI = 0.00000000705239729637004,
ABBV = 0.00000000318883660353263, A = 0.00000000404173909160778,
APD = 0.00000000327254523618409, AA = 0.0000000131663147972097,
CF = 0.00000000601770292406702), `2017 Apr` = c(AAPL = 0.000000000415721053009824,
AMD = 0.999999997277344, ADI = 0.000000000421027638771769,
ABBV = 0.000000000278192049535268, A = 0.000000000317670807503632,
APD = 0.000000000251216546392771, AA = 0.000000000641546337428044,
CF = 0.000000000397287883591234), `2017 May` = c(AAPL = 0.000000000466735390337044,
AMD = 0.999999996491583, ADI = 0.000000000367501294273299,
ABBV = 0.000000000396066254548848, A = 0.000000000482638646660546,
APD = 0.00000000027021755403403, AA = 0.00000000120746228682863,
CF = 0.000000000317801404484393), `2017 Jun` = c(AAPL = 0.999999910071274,
AMD = 0.00000000253333998199778, ADI = 0.000000000453013272990588,
ABBV = 0.000000000581815713245697, A = 0.0000000847116475191311,
APD = 0.000000000542928532975976, AA = 0.000000000638963871008185,
CF = 0.000000000467014929339993), `2017 Jul` = c(AAPL = 0.00000000106561682474822,
AMD = 0.00000000157911720407928, ADI = 0.00000000137295355714574,
ABBV = 0.0000000016733524355219, A = 0.99999999062747, APD = 0.00000000104084478309771,
AA = 0.00000000195542301666525, CF = 0.000000000685222817624398
), `2017 Aug` = c(AAPL = 0.528902728550579, AMD = 0.238428416790421,
ADI = 0.0000000143314446548314, ABBV = 0.0000000453941921376418,
A = 0.232668766400542, APD = 0.0000000125809465872461, AA = 0.0000000101263676713084,
CF = 0.00000000582560448331477))
EDIT:
This seems to do "something" close to what I am trying to achieve but now I need the rownames to be the dates 2013 Aug.... 2013.Nov` etc.
x <- transpose(myData)
names(x) <- c("AAPL", "AMD", "ADI", "ABBV", "A", "APD", "AA", "CF")
bind_rows(x)
Upvotes: 0
Views: 148
Answers (4)
hello_friend
Reputation: 5788
Base R one liner:
tmp <- data.frame(cbind(date = unlist(names(myData)), do.call(rbind, myData)), row.names = NULL)
Upvotes: 0
akrun
Reputation: 887291
In base R, we can convert the to data.frame within the list, create a new column with Map and rbind
out <- do.call(rbind, c(Map(cbind, date = names(myData),
lapply(myData, as.data.frame.list)), make.row.names = FALSE))
head(out)
# date AAPL AMD ADI ABBV A APD AA CF
#1 2013 Jul 5.866690e-10 1.000000e+00 1.179115e-09 2.655547e-09 1.157486e-09 1.410264e-09 7.847502e-10 7.350693e-10
#2 2013 Aug 6.483533e-09 8.753660e-01 1.401109e-08 1.246338e-01 6.384126e-09 1.645955e-07 4.372983e-09 3.983806e-09
#3 2013 Sep 5.179329e-08 6.120530e-01 2.638956e-08 3.094287e-07 6.293171e-08 3.879466e-01 1.428683e-08 1.841299e-08
#4 2013 Oct 3.899536e-08 9.999995e-01 2.763357e-08 4.723968e-08 1.471650e-07 1.893302e-07 2.133457e-08 4.979334e-08
#5 2013 Nov 1.348826e-08 8.524870e-09 5.556582e-09 3.399434e-09 4.013161e-08 9.999999e-01 4.108103e-09 9.341492e-09
#6 2013 Dec 9.999999e-01 2.057952e-09 4.239425e-09 1.117853e-08 2.315503e-08 1.413572e-08 8.175517e-09 1.561584e-08
Upvotes: 1
Ronak Shah
Reputation: 389055
Using base R, you can rbind myData with do.call but it gives dates as rownames. You can make them as separate column and delete the rownames.
temp <- as.data.frame(do.call(rbind, myData))
temp$date <- rownames(temp)
rownames(temp) <- NULL
temp
# AAPL AMD ADI ABBV A APD AA CF date
#1 5.8667e-10 1.0000e+00 1.1791e-09 2.6555e-09 1.1575e-09 1.4103e-09 7.8475e-10 7.3507e-10 2013 Jul
#2 6.4835e-09 8.7537e-01 1.4011e-08 1.2463e-01 6.3841e-09 1.6460e-07 4.3730e-09 3.9838e-09 2013 Aug
#3 5.1793e-08 6.1205e-01 2.6390e-08 3.0943e-07 6.2932e-08 3.8795e-01 1.4287e-08 1.8413e-08 2013 Sep
#4 3.8995e-08 1.0000e+00 2.7634e-08 4.7240e-08 1.4716e-07 1.8933e-07 2.1335e-08 4.9793e-08 2013 Oct
#5 1.3488e-08 8.5249e-09 5.5566e-09 3.3994e-09 4.0132e-08 1.0000e+00 4.1081e-09 9.3415e-09 2013 Nov
#6 1.0000e+00 2.0580e-09 4.2394e-09 1.1179e-08 2.3155e-08 1.4136e-08 8.1755e-09 1.5616e-08 2013 Dec
#7 8.8897e-01 6.8731e-09 1.3535e-08 3.6824e-08 6.8808e-08 2.1634e-08 1.1418e-07 1.1103e-01 2014 Jan
#....
#....
Upvotes: 1
user10917479
Reputation:
Using purrr might be the way to do it.
library(purrr)
library(dplyr)
myData %>%
map_dfr(~ bind_rows(.), .id = "date")
# A tibble: 50 x 9
date AAPL AMD ADI ABBV A APD AA CF
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2013 Jul 5.87e-10 10.00e- 1 1.18e- 9 2.66e- 9 1.16e- 9 1.41e- 9 7.85e-10 7.35e-10
2 2013 Aug 6.48e- 9 8.75e- 1 1.40e- 8 1.25e- 1 6.38e- 9 1.65e- 7 4.37e- 9 3.98e- 9
3 2013 Sep 5.18e- 8 6.12e- 1 2.64e- 8 3.09e- 7 6.29e- 8 3.88e- 1 1.43e- 8 1.84e- 8
4 2013 Oct 3.90e- 8 10.00e- 1 2.76e- 8 4.72e- 8 1.47e- 7 1.89e- 7 2.13e- 8 4.98e- 8
5 2013 Nov 1.35e- 8 8.52e- 9 5.56e- 9 3.40e- 9 4.01e- 8 10.00e- 1 4.11e- 9 9.34e- 9
6 2013 Dec 10.00e- 1 2.06e- 9 4.24e- 9 1.12e- 8 2.32e- 8 1.41e- 8 8.18e- 9 1.56e- 8
7 2014 Jan 8.89e- 1 6.87e- 9 1.35e- 8 3.68e- 8 6.88e- 8 2.16e- 8 1.14e- 7 1.11e- 1
8 2014 Feb 2.88e-10 1.73e-10 2.01e-10 2.69e-10 7.74e-10 1.93e-10 10.00e- 1 3.99e-10
9 2014 Mar 8.48e- 9 1.02e- 8 8.91e- 9 1.23e- 8 1.28e- 8 1.16e- 8 10.00e- 1 3.64e- 8
10 2014 Apr 1.79e-10 2.01e-10 1.71e-10 1.72e-10 1.66e-10 1.72e-10 10.00e- 1 1.27e-10
Upvotes: 1
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