purrr-map05

library(tidyverse)

Exercise

Erstellen Sie eine Tabelle mit mit folgenden Spalten:

• ID-Spalte: \(1,2,..., 10\)
• Eine Spalte, in der jede Zelle eine Tabelle mit einem Vektor \(x\), einer standardnormalverteilten Zufallszahlen (n=1000), enthält

Berechnen Sie den Mittelwert von jedem \(x\)! Diese Ergebnisse sollen als weitere Spalte der Tabelle hinzugefügt werden.

Solution

d <- tibble(
  id = 1:10) %>% 
  mutate(x = map(id, ~ rnorm(n = 1e3))
) 

str(d)

tibble [10 × 2] (S3: tbl_df/tbl/data.frame)
 $ id: int [1:10] 1 2 3 4 5 6 7 8 9 10
 $ x :List of 10
  ..$ : num [1:1000] -0.525 0.465 -0.416 1.1 0.308 ...
  ..$ : num [1:1000] -0.0865 -0.5048 1.4913 1.015 1.4832 ...
  ..$ : num [1:1000] 0.644 1.249 0.658 0.101 -0.511 ...
  ..$ : num [1:1000] 1.237 0.127 -0.414 -1.117 0.494 ...
  ..$ : num [1:1000] -0.358 -0.532 0.612 -0.805 2.35 ...
  ..$ : num [1:1000] 0.00276 0.72213 -1.85359 0.75264 -2.47369 ...
  ..$ : num [1:1000] -0.57 -2.489 -0.962 0.283 1.644 ...
  ..$ : num [1:1000] 1.321 1.782 0.54 0.376 0.296 ...
  ..$ : num [1:1000] -1.3234 1.3693 0.4681 0.4724 0.0059 ...
  ..$ : num [1:1000] -1.926 0.816 -1.281 -1.278 -2 ...

So kann man sich die Mittelwerte ausgeben lassen:

d$x %>% 
  map(mean)

[[1]]
[1] 0.03555107

[[2]]
[1] 0.01689149

[[3]]
[1] -0.01045456

[[4]]
[1] -0.02202407

[[5]]
[1] 0.004423978

[[6]]
[1] -0.01647056

[[7]]
[1] 0.02760481

[[8]]
[1] 0.007250049

[[9]]
[1] 0.002313557

[[10]]
[1] -0.02865376

Jetzt fügen wir den letzten Schritt als Spalte hinzu:

d2 <-
  d %>% 
  mutate(x_mean = map_dbl(x, ~ mean(.x))) 

head(d2)

id	x	x_mean
1	-0.5253544406, 0.4651397326, -0.4155646269, 1.0996101300, 0.3077060383, -0.2958268833, -1.5237716513, -0.2570228721, 0.7267150409, -0.2101675988, 0.8490094964, -0.1233045379, 0.7744726174, -0.6622565317, 0.6794127198, 0.5981447700, 1.9104143552, -0.3215631430, 1.0153533353, 0.6274568946, 0.0688188565, -0.7629601742, -0.6578816334, -1.2468500188, -0.9824366970, 0.0422947320, 0.2995750124, -0.6922369918, 1.7805562603, 0.1028240751, -0.0846703097, -0.9787809369, 1.0278434006, -0.9236165497, -0.8705856104, 1.8039211959, -0.9705881159, 0.0615487966, -0.3800727771, 0.2642739608, 0.5452532225, 0.4377895607, -0.9849330834, -0.5581771264, 1.0853520179, 0.2494408294, -1.6299783177, 0.3499818611, 0.0595948822, 0.3333335689, -0.9055752536, -1.1035722083, 1.4923396352, 0.2638669513, 0.0817296974, -0.8831909493, -0.3213008146, 0.4749933896, -0.6391779349, 0.9463606617, -0.5685424329, -0.8687043247, 0.1675735577, -0.9436210293, -0.4748347249, 1.3271622673, 1.2169224827, -0.8856587456, 0.5900169141, 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-0.685002991, -0.438262196, 0.024971690, -0.795997743, 0.650953292, -2.962265368, -0.270303723, -0.495496854, 1.218252834, -1.074599842, -1.492748495, 0.830294351, 0.381014733, 0.969485169, -0.596834887, 0.790211083, -0.926708264, 0.695132477, 0.129544431, 1.381484052, 0.560081614, -0.649817533, -2.184550457, -0.415273029, 0.503129503, 1.259152432, -1.102608522, -0.800468284, 1.988777801, -1.191957186, 0.876810648, -0.459536701, 0.556237690, -0.400643230, -0.644754347, 1.158309041, 1.029457763, -1.615269451, 1.213715539, 0.531194068, 0.256275140, -0.874564609, -1.511915488, 0.553117245, -0.714483522, 1.720592303, 0.403673539, -2.102759118, -0.617621925, -2.012433170, -0.704239384, 0.184403762, 0.467925718, -2.466123451, -0.626872440, 0.638046952, 0.632185986, -1.332416495, 1.321066633, 0.731543625, 1.109863666, -0.963987822, -0.773651743, -0.198563369, 0.444717904, -1.443621176, 0.259692902, 1.704128460, 0.675816043, 0.413511012, -0.194510499, 0.118428016, 0.015321175, 0.153588315, 1.594603358, -1.218361570, -0.264439315, -1.009784781, -0.335477720, 0.165657620, 0.256023160, -0.292975028, -0.494377069, 0.674341279, 0.033874409, 0.504549302, -0.844986409, 0.077670051, -1.538536677, -0.287450280, -0.669506821, 0.445781514, -0.657799783, -1.090134834, 1.729289720, 0.321634985, 1.948354631, -1.480608851, 0.145548164, -0.589267664, -1.551193636, -1.564172878, -0.503612531, -0.346611177, -1.228115966, -1.987870050, -0.311382587, -2.418391868, -0.581777293, 0.364755276, 1.293024031, -0.618152920, 0.531970450, 1.968054486, -0.279157039, 0.617603143, -1.446195125, -0.869975146, -2.519507463, 0.610347683, 0.234387988, 0.975463878, 0.484079023, -0.264148303, 0.576470748, 0.453719783, -0.711100978, -1.477828370, -0.687200543, 0.230262074, -0.874847958, -0.106328102, -0.170071916, 0.308484204, -0.049031285, -0.762678468, -0.451440420, -2.016285505, -0.299096799, 1.214531114, -1.026034060, -0.762242104, 0.692870750, -0.551522340, 0.659819876, 0.113768500, 2.618144041, 0.251973504, -0.978461438, 0.324145551, 1.224083817, -0.600604307, -1.300057363, 0.160114074, -1.389544103, -0.189962881, -0.487341368, 0.270160661, 0.417451974, 0.454599307, -2.824935453, 0.760539271, -0.445404862, -0.723584471, -0.279079464, -0.681965564, 1.178747870, 0.848494153, 0.251985932, 0.356850654, -0.311911654, 0.476311266, 1.498975084, 0.364284684, -0.747850775, 0.434735706, 0.116690716, -1.217747480, -0.157365197, -0.255629061, -0.512810748, 0.371527859, -1.334406374, 1.073591480, -1.096416905, 0.296928679, 1.267653363, -0.540702606, -1.313543281, -1.252800096, -0.226532096, -0.025043314, -0.108257246, 0.619290708, 1.913561442, -1.643122925, -1.373637927, 1.348061684, -1.370638612, 1.437361410, 1.247872386, -0.344808787, 0.176137013, 1.556636994, -1.488017042, -0.707178916, -1.428200831, -1.251598742, -0.235318591, 1.649805467, 0.861990384, 0.337268197, 0.520938400, -0.153450630, -0.218812479, 0.675055032, 1.311600934, -0.608288363, 0.011669712, -2.011705005, 1.877086346, -1.150935396, 0.081759231, 0.486317598, 0.021755360, -0.324451542, -0.470201065, 0.442001860, -0.189571631, 1.010252065, -0.056501216, -1.670515642, 0.636291357, -0.094158496, 0.323700664, -0.833493267, 0.927199102, -0.204023180, 1.101231493, 0.356734040, -0.076547633, 0.991146932, 0.507547134, 0.501185358, 0.628794299, 0.144662109, -0.634866509, -0.817289553, -0.678295271, -0.164572274, -1.242150631, -1.173956188, 0.016897353, -0.182454077, -0.199036498, 2.492097439, 0.854492319, 0.807495195, -0.646057895, -0.700995611, -1.837869428, -0.702489986, 0.607569379, -2.145782784, 0.323515271, -0.069126999, 1.292084932, -0.185691909, -1.187089456, -3.079047785, 2.306732303, -0.050670020, -0.837347557, 0.300640253, 0.018384262, 0.739673219, 0.184983130, -0.209347821, 1.376443397, 0.127038737, -0.240545300, 0.391338727, -1.183587830, 0.872697769, 1.340677670, -0.367052504, -1.000010874, -0.925043517, -0.753152768, -0.290406139, -1.443239793, 0.690188878, 0.493842508, 0.432717999, -0.161866500, 0.467224898, -0.266513788, -0.672626675, -0.383266042, 0.407827541, 1.054196641, 2.189921426, 0.339018691, -0.454883197, 0.780782262, -1.143636407, -2.238486008, -0.397521302, 0.261597786, 1.332411023, -0.715711499, 0.666019497, 0.121425311, 1.927782545, 0.622254666, -1.270877368, -1.339651177, 1.181402297, 0.834896182, -0.011577175, 1.488064602, -0.697022676, 1.496508397, 0.611617449, 0.652853317, -0.371494744, -0.118162506, 0.681764658, -0.497978176, 0.574319951, 2.044006078, 0.885327947, 0.857216063, 1.546097813, -1.010002619, -1.114839338, 0.461696228, 0.355012938, 0.612521794, -0.564525319, 0.637476323, -1.821349406, -1.115999885, -0.316114659, 0.730033030, 0.622367186, -0.290260428, 1.240371844, -1.495440969, 0.362155207, -0.752216569, -0.037219982, 0.128929531, -0.648908898, -0.996718171, 0.572152684, 1.008102300, 1.662424621, -1.721619561, -0.755247194, -2.010425104, -1.092274077, -0.715424688, -1.952760480, 0.950770231, -0.509499191, 0.045001645, -1.928626213, 1.610612222, 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-0.275414786, -0.224830221, -0.569111141, 0.581782907, -1.602725511, -2.363162092, 0.265939522, 0.559621611, 1.790273495, 0.284917638, 0.864848471, -0.831435466, 0.443593365, -2.048603289, 0.266567409, 0.976929073, -1.019676488, -0.070841779, 2.759995548, -0.419467424, -0.102143236, -1.105671032, 1.589789384, -0.175831799, 0.018087303, -0.085480442, 0.510317342, 0.307804447, -0.226868940, 0.107047378, 0.125996354, 0.888807999, 0.327809932, 2.037551233, 1.469940841, 1.703321637, -0.815529281, -0.720749463, 0.118690522, -0.822698261, -0.679002186, -0.252649310, 0.464749381, -0.292659123, 0.267831938, 0.082314069, -0.887672986, -2.031052543, -1.487398961, -1.248666975, 2.001668012, 0.133736773, 0.912725062, 0.034050639, -1.635668171, 0.535981733, 0.498028974, -0.291023281, -0.475481839, -0.531611098, -1.333175838, 0.303299777, -0.643920767, -0.148823695, -1.254556795, -1.301999158, 2.742209153, 0.720827130, -1.431207324, 0.847602550, -2.039862551, -0.038534427, 0.471037501, 1.031685735, -0.442435160, 1.206830492, 0.318691182, 0.898527516, -0.115481910, 0.265403095, 1.212678762, -1.532948429, 1.461873706, -1.110445217, 0.689953633, -0.548219300, -0.959352476, -1.376047080, 1.227751477, -1.106912566, 1.214105147, 1.197568518, 1.238795601, 0.829022021, -0.503129097, 0.439170659, -1.857058975, -0.635095760, 1.662385778, 0.383258776, -0.100404960, -0.282969697, 1.825054586, 0.342530210, 2.288716300, 1.769129044, -0.398720062, -0.571086783, 0.394309101, 0.220572251, 1.272658778, 1.638906837, -0.758228953, 0.159211438, 0.195203389, -0.674887108	-0.0164706

Hier hätten wir auch schreiben können:

d %>% 
  mutate(x_mean = map(x, mean)) %>% 
  unnest(x_mean) %>% 
  head()

id	x	x_mean
1	-0.5253544406, 0.4651397326, -0.4155646269, 1.0996101300, 0.3077060383, -0.2958268833, -1.5237716513, -0.2570228721, 0.7267150409, -0.2101675988, 0.8490094964, -0.1233045379, 0.7744726174, -0.6622565317, 0.6794127198, 0.5981447700, 1.9104143552, -0.3215631430, 1.0153533353, 0.6274568946, 0.0688188565, -0.7629601742, -0.6578816334, -1.2468500188, -0.9824366970, 0.0422947320, 0.2995750124, -0.6922369918, 1.7805562603, 0.1028240751, -0.0846703097, -0.9787809369, 1.0278434006, -0.9236165497, -0.8705856104, 1.8039211959, -0.9705881159, 0.0615487966, -0.3800727771, 0.2642739608, 0.5452532225, 0.4377895607, -0.9849330834, -0.5581771264, 1.0853520179, 0.2494408294, -1.6299783177, 0.3499818611, 0.0595948822, 0.3333335689, -0.9055752536, -1.1035722083, 1.4923396352, 0.2638669513, 0.0817296974, -0.8831909493, -0.3213008146, 0.4749933896, -0.6391779349, 0.9463606617, -0.5685424329, -0.8687043247, 0.1675735577, -0.9436210293, -0.4748347249, 1.3271622673, 1.2169224827, -0.8856587456, 0.5900169141, -1.1027377002, -1.5809007655, 0.2411442677, 0.1760483271, -0.5368915257, -1.2056575866, -0.2020270150, -1.6485650652, 0.8993822775, 0.5730906625, -0.1482297967, 1.5146759854, 0.7610960854, 1.0703449075, 0.0701721476, 0.1189607374, 1.8903695077, -0.1874927966, -0.3915413648, -0.1554484007, 0.3399482544, 1.5053516981, -0.8776955655, -1.3672092734, -0.1466854873, 1.0820434302, 0.8665825420, -0.9285776032, -0.3884470518, -1.9319683987, 2.6349599302, 0.3404008041, -2.3669227307, -0.8924694155, 2.2056400658, 1.7719307561, -1.6738949234, 0.8037489773, -1.9327382908, 0.8837169302, 1.1056250897, 1.9398923684, 2.2330834516, 1.1774956417, 0.1663976326, -0.3202031252, 0.2545312036, -0.4572022540, 0.4949001189, 0.1181364326, 0.0107822496, 1.2939271728, -0.6382876793, 0.3647695046, -0.4498241966, 0.8700541681, -0.2940411819, -1.2366433956, 1.0686071950, -0.4101958353, 1.1761192174, 0.2501897514, -1.5307051748, -0.5832465867, -0.7302161411, -0.6118925805, 1.4745940660, 0.8481656861, -0.4091341091, 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Categories:

• programming
• loop