Table: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+10x10 data. The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
0.001137
0.0013985
0.0017979
0.0017215
0.0018860
0.012950
4
lapply+pmin.int
0.010715
0.0113850
0.0128012
0.0119710
0.0125560
0.065509
3
lapply+pmin
0.017601
0.0184710
0.0192623
0.0189725
0.0197230
0.033257
2
apply+min
0.019919
0.0209500
0.0223913
0.0217425
0.0224085
0.073963
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
4
lapply+pmin.int
9.423923
8.140865
7.120033
6.953819
6.657476
5.058610
3
lapply+pmin
15.480211
13.207723
10.713647
11.020912
10.457582
2.568108
2
apply+min
17.518909
14.980336
12.453997
12.629974
11.881495
5.711429
Table: Benchmarking of rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+10x10 data (transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
rowMins
0.001132
0.0014365
0.0018099
0.001780
0.0019550
0.011586
4
lapply+pmin.int
0.010509
0.0112450
0.0117930
0.011543
0.0120905
0.017538
3
lapply+pmin
0.017708
0.0182300
0.0197311
0.018909
0.0195320
0.077664
2
apply+min
0.020047
0.0210240
0.0222480
0.021490
0.0220250
0.074020
expr
min
lq
mean
median
uq
max
1
rowMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
4
lapply+pmin.int
9.283569
7.828054
6.515879
6.484832
6.184399
1.513723
3
lapply+pmin
15.643109
12.690567
10.901883
10.623034
9.990793
6.703263
2
apply+min
17.709364
14.635573
12.292522
12.073034
11.265985
6.388745
Figure: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+10x10 data as well as rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on the same data transposed. Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins() and rowMins() on integer+10x10 data (original and transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
1.137
1.3985
1.79792
1.7215
1.886
12.950
2
rowMins
1.132
1.4365
1.80988
1.7800
1.955
11.586
expr
min
lq
mean
median
uq
max
1
colMins
1.0000000
1.000000
1.000000
1.000000
1.000000
1.0000000
2
rowMins
0.9956025
1.027172
1.006652
1.033982
1.036585
0.8946718
Figure: Benchmarking of colMins() and rowMins() on integer+10x10 data (original and transposed). Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+100x100 data. The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
0.014469
0.0151180
0.0162750
0.015522
0.0157540
0.069830
4
lapply+pmin.int
0.134559
0.1368985
0.1418128
0.138374
0.1398730
0.237444
2
apply+min
0.142409
0.1445910
0.1481664
0.145789
0.1475355
0.231249
3
lapply+pmin
0.181965
0.1844315
0.1893252
0.185836
0.1884170
0.278959
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
4
lapply+pmin.int
9.299813
9.055331
8.713551
8.914702
8.878571
3.400315
2
apply+min
9.842353
9.564162
9.103942
9.392411
9.364955
3.311600
3
lapply+pmin
12.576197
12.199464
11.632908
11.972426
11.959947
3.994830
Table: Benchmarking of rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+100x100 data (transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
rowMins
0.014911
0.0156800
0.0163419
0.0161715
0.0166915
0.027966
4
lapply+pmin.int
0.118037
0.1215355
0.1244228
0.1228295
0.1240965
0.190294
2
apply+min
0.142605
0.1457455
0.1503770
0.1470990
0.1496940
0.288713
3
lapply+pmin
0.164555
0.1694915
0.1738016
0.1709685
0.1727430
0.256241
expr
min
lq
mean
median
uq
max
1
rowMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
4
lapply+pmin.int
7.916102
7.750989
7.613733
7.595430
7.434712
6.804477
2
apply+min
9.563745
9.294994
9.201934
9.096188
8.968277
10.323714
3
lapply+pmin
11.035813
10.809407
10.635344
10.572210
10.349160
9.162590
Figure: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+100x100 data as well as rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on the same data transposed. Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins() and rowMins() on integer+100x100 data (original and transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
14.469
15.118
16.27497
15.5220
15.7540
69.830
2
rowMins
14.911
15.680
16.34189
16.1715
16.6915
27.966
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.0000000
2
rowMins
1.030548
1.037174
1.004112
1.041844
1.059509
0.4004869
Figure: Benchmarking of colMins() and rowMins() on integer+100x100 data (original and transposed). Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+1000x10 data. The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
0.011608
0.0124610
0.0141042
0.0136045
0.014834
0.023159
2
apply+min
0.070636
0.0768480
0.0859544
0.0812535
0.088094
0.213670
4
lapply+pmin.int
0.846861
0.8747245
0.9245479
0.9004855
0.973005
1.177411
3
lapply+pmin
1.278641
1.3034650
1.4603406
1.3286910
1.409936
6.720430
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
2
apply+min
6.085114
6.167081
6.094258
5.972546
5.938654
9.226219
4
lapply+pmin.int
72.954945
70.196975
65.551389
66.190268
65.592895
50.840321
3
lapply+pmin
110.151706
104.603563
103.539635
97.665552
95.047627
290.186537
Table: Benchmarking of rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+1000x10 data (transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
rowMins
0.013066
0.0144340
0.0165290
0.015474
0.0168030
0.034570
2
apply+min
0.070142
0.0762545
0.0871575
0.081552
0.0881160
0.175111
4
lapply+pmin.int
0.824782
0.8488425
0.9462911
0.896508
0.9521905
1.999018
3
lapply+pmin
1.253736
1.2999775
1.5203883
1.369052
1.4662535
6.795446
expr
min
lq
mean
median
uq
max
1
rowMins
1.000000
1.000000
1.000000
1.00000
1.000000
1.000000
2
apply+min
5.368284
5.282978
5.272996
5.27026
5.244064
5.065404
4
lapply+pmin.int
63.124292
58.808542
57.250251
57.93641
56.667887
57.825224
3
lapply+pmin
95.954079
90.063565
91.982914
88.47431
87.261412
196.570610
Figure: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+1000x10 data as well as rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on the same data transposed. Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins() and rowMins() on integer+1000x10 data (original and transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
11.608
12.461
14.10417
13.6045
14.834
23.159
2
rowMins
13.066
14.434
16.52903
15.4740
16.803
34.570
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
2
rowMins
1.125603
1.158334
1.171925
1.137418
1.132736
1.492724
Figure: Benchmarking of colMins() and rowMins() on integer+1000x10 data (original and transposed). Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+10x1000 data. The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
0.028948
0.0304065
0.0318185
0.0311845
0.0319520
0.061127
4
lapply+pmin.int
0.073581
0.0762075
0.0821658
0.0789430
0.0813635
0.263396
3
lapply+pmin
0.080234
0.0850440
0.0892420
0.0874505
0.0896270
0.198933
2
apply+min
0.812720
0.8320325
0.8478344
0.8389590
0.8499570
1.175260
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
4
lapply+pmin.int
2.541834
2.506290
2.582326
2.531482
2.546429
4.308996
3
lapply+pmin
2.771660
2.796902
2.804717
2.804294
2.805051
3.254421
2
apply+min
28.075169
27.363639
26.645931
26.903077
26.601058
19.226528
Table: Benchmarking of rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+10x1000 data (transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
rowMins
0.028729
0.0303495
0.0320850
0.0311785
0.032475
0.042210
4
lapply+pmin.int
0.058324
0.0606570
0.0675510
0.0620690
0.064542
0.355443
3
lapply+pmin
0.066075
0.0691155
0.0738142
0.0711160
0.075178
0.146424
2
apply+min
0.800509
0.8296635
0.8533022
0.8445705
0.863575
1.011454
expr
min
lq
mean
median
uq
max
1
rowMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
4
lapply+pmin.int
2.030144
1.998616
2.105380
1.990763
1.987437
8.420824
3
lapply+pmin
2.299941
2.277319
2.300586
2.280931
2.314950
3.468941
2
apply+min
27.864144
27.336974
26.595084
27.088234
26.591994
23.962426
Figure: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+10x1000 data as well as rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on the same data transposed. Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins() and rowMins() on integer+10x1000 data (original and transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
2
rowMins
28.729
30.3495
32.08496
31.1785
32.475
42.210
1
colMins
28.948
30.4065
31.81853
31.1845
31.952
61.127
expr
min
lq
mean
median
uq
max
2
rowMins
1.000000
1.000000
1.0000000
1.000000
1.0000000
1.000000
1
colMins
1.007623
1.001878
0.9916961
1.000192
0.9838953
1.448164
Figure: Benchmarking of colMins() and rowMins() on integer+10x1000 data (original and transposed). Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+100x1000 data. The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
0.137467
0.1388440
0.1483452
0.1405780
0.1491505
0.204836
4
lapply+pmin.int
0.646598
0.6606205
0.9469813
0.6650970
0.6922240
12.979119
3
lapply+pmin
0.696305
0.7101410
0.7684295
0.7199685
0.7915285
1.242798
2
apply+min
1.285617
1.3025120
1.4027658
1.3315200
1.4251605
1.993737
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
4
lapply+pmin.int
4.703660
4.758005
6.383631
4.731160
4.641111
63.363466
3
lapply+pmin
5.065252
5.114668
5.180008
5.121488
5.306912
6.067283
2
apply+min
9.352186
9.381118
9.456089
9.471752
9.555184
9.733333
Table: Benchmarking of rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+100x1000 data (transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
rowMins
0.143332
0.1447920
0.1552814
0.1469605
0.156462
0.222039
4
lapply+pmin.int
0.430581
0.4410470
0.6078231
0.4493855
0.490686
13.700603
3
lapply+pmin
0.476580
0.4866225
0.5327844
0.4993440
0.571511
0.690458
2
apply+min
1.292407
1.3138665
1.5435058
1.3411760
1.517270
13.054694
expr
min
lq
mean
median
uq
max
1
rowMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
4
lapply+pmin.int
3.004081
3.046073
3.914333
3.057866
3.136135
61.703588
3
lapply+pmin
3.325008
3.360838
3.431090
3.397811
3.652714
3.109625
2
apply+min
9.016877
9.074165
9.940056
9.126098
9.697367
58.794599
Figure: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+100x1000 data as well as rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on the same data transposed. Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins() and rowMins() on integer+100x1000 data (original and transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
137.467
138.844
148.3452
140.5780
149.1505
204.836
2
rowMins
143.332
144.792
155.2814
146.9605
156.4620
222.039
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
2
rowMins
1.042665
1.042839
1.046757
1.045402
1.049021
1.083984
Figure: Benchmarking of colMins() and rowMins() on integer+100x1000 data (original and transposed). Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+1000x100 data. The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
0.106332
0.1097655
0.122284
0.1187120
0.1327950
0.164819
2
apply+min
0.562735
0.6144125
1.012706
0.6626605
0.7702015
18.073797
4
lapply+pmin.int
1.331521
1.4357940
1.601527
1.5567945
1.7567050
2.141153
3
lapply+pmin
1.771905
1.8920870
2.124264
2.0742770
2.3162400
2.882171
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.00000
2
apply+min
5.292245
5.597501
8.281596
5.582085
5.799929
109.65846
4
lapply+pmin.int
12.522298
13.080558
13.096789
13.114045
13.228698
12.99094
3
lapply+pmin
16.663892
17.237538
17.371572
17.473187
17.442223
17.48689
Table: Benchmarking of rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+1000x100 data (transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
rowMins
0.115918
0.1181715
0.1287715
0.1230760
0.1307515
0.187111
2
apply+min
0.573702
0.5953275
0.6502067
0.6178695
0.6577145
0.942786
4
lapply+pmin.int
1.161396
1.1881985
1.5280927
1.2318300
1.3160820
25.420040
3
lapply+pmin
1.594454
1.6374130
1.9188378
1.6906105
1.7821925
17.473094
expr
min
lq
mean
median
uq
max
1
rowMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
2
apply+min
4.949205
5.037826
5.049308
5.020227
5.030264
5.038646
4
lapply+pmin.int
10.019117
10.054865
11.866703
10.008694
10.065521
135.855401
3
lapply+pmin
13.755016
13.856243
14.901110
13.736313
13.630379
93.383574
Figure: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on integer+1000x100 data as well as rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on the same data transposed. Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins() and rowMins() on integer+1000x100 data (original and transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
106.332
109.7655
122.2840
118.712
132.7950
164.819
2
rowMins
115.918
118.1715
128.7715
123.076
130.7515
187.111
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.000000
1.0000000
1.000000
2
rowMins
1.090152
1.076581
1.053053
1.036761
0.9846116
1.135251
Figure: Benchmarking of colMins() and rowMins() on integer+1000x100 data (original and transposed). Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+10x10 data. The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
0.001095
0.0013365
0.0018835
0.0017865
0.0020025
0.011847
4
lapply+pmin.int
0.010763
0.0115325
0.0131063
0.0118700
0.0126725
0.050185
3
lapply+pmin
0.017646
0.0185145
0.0197134
0.0189095
0.0199470
0.039183
2
apply+min
0.020384
0.0212020
0.0227468
0.0220345
0.0226960
0.064985
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.00000
1.000000
1.000000
1.000000
4
lapply+pmin.int
9.829224
8.628881
6.95864
6.644277
6.328340
4.236093
3
lapply+pmin
16.115068
13.852974
10.46658
10.584663
9.961049
3.307420
2
apply+min
18.615525
15.863823
12.07713
12.333893
11.333833
5.485355
Table: Benchmarking of rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+10x10 data (transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
rowMins
0.001135
0.0016145
0.0024178
0.0019200
0.0021890
0.013671
4
lapply+pmin.int
0.010623
0.0114705
0.0151826
0.0121825
0.0129675
0.049918
3
lapply+pmin
0.017430
0.0187870
0.0248658
0.0197465
0.0214365
0.083197
2
apply+min
0.019789
0.0212265
0.0290426
0.0221185
0.0363060
0.096060
expr
min
lq
mean
median
uq
max
1
rowMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
4
lapply+pmin.int
9.359471
7.104676
6.279528
6.345052
5.923938
3.651379
3
lapply+pmin
15.356828
11.636420
10.284524
10.284635
9.792828
6.085656
2
apply+min
17.435242
13.147414
12.012036
11.520052
16.585656
7.026553
Figure: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+10x10 data as well as rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on the same data transposed. Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins() and rowMins() on double+10x10 data (original and transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
1.095
1.3365
1.88346
1.7865
2.0025
11.847
2
rowMins
1.135
1.6145
2.41779
1.9200
2.1890
13.671
expr
min
lq
mean
median
uq
max
1
colMins
1.00000
1.000000
1.000000
1.000000
1.000000
1.000000
2
rowMins
1.03653
1.208006
1.283696
1.074727
1.093134
1.153963
Figure: Benchmarking of colMins() and rowMins() on double+10x10 data (original and transposed). Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+100x100 data. The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
0.012066
0.0131320
0.0138258
0.0135725
0.0139955
0.034413
4
lapply+pmin.int
0.156763
0.1594575
0.1647156
0.1612780
0.1640450
0.299866
2
apply+min
0.184231
0.1866225
0.1910064
0.1887515
0.1911115
0.288866
3
lapply+pmin
0.204048
0.2074110
0.2110284
0.2095045
0.2120060
0.252313
expr
min
lq
mean
median
uq
max
1
colMins
1.00000
1.00000
1.00000
1.00000
1.00000
1.000000
4
lapply+pmin.int
12.99213
12.14267
11.91360
11.88270
11.72127
8.713742
2
apply+min
15.26861
14.21128
13.81516
13.90691
13.65521
8.394095
3
lapply+pmin
16.91099
15.79432
15.26332
15.43596
15.14815
7.331910
Table: Benchmarking of rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+100x100 data (transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
rowMins
0.015478
0.016610
0.0175632
0.0171075
0.0176155
0.030675
4
lapply+pmin.int
0.119277
0.122615
0.1282200
0.1248255
0.1272840
0.228531
2
apply+min
0.142397
0.147601
0.1542465
0.1497790
0.1550655
0.255778
3
lapply+pmin
0.165291
0.169898
0.1757570
0.1736065
0.1762865
0.270137
expr
min
lq
mean
median
uq
max
1
rowMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
4
lapply+pmin.int
7.706228
7.381999
7.300498
7.296537
7.225682
7.450073
2
apply+min
9.199961
8.886273
8.782376
8.755166
8.802787
8.338321
3
lapply+pmin
10.679093
10.228657
10.007121
10.147976
10.007465
8.806422
Figure: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+100x100 data as well as rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on the same data transposed. Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins() and rowMins() on double+100x100 data (original and transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
12.066
13.132
13.82585
13.5725
13.9955
34.413
2
rowMins
15.478
16.610
17.56319
17.1075
17.6155
30.675
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.0000000
2
rowMins
1.282778
1.264849
1.270315
1.260453
1.258655
0.8913783
Figure: Benchmarking of colMins() and rowMins() on double+100x100 data (original and transposed). Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+1000x10 data. The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
0.009627
0.0110775
0.0142640
0.0128145
0.0171670
0.024682
2
apply+min
0.118891
0.1270410
0.1435655
0.1358925
0.1501945
0.283164
4
lapply+pmin.int
0.845375
0.9091590
0.9673517
0.9531245
1.0085925
1.313164
3
lapply+pmin
1.285765
1.3439685
1.5260650
1.4110785
1.4862160
7.050950
expr
min
lq
mean
median
uq
max
1
colMins
1.00000
1.00000
1.00000
1.00000
1.000000
1.00000
2
apply+min
12.34975
11.46838
10.06489
10.60459
8.749024
11.47249
4
lapply+pmin.int
87.81292
82.07258
67.81775
74.37859
58.751820
53.20331
3
lapply+pmin
133.55822
121.32417
106.98725
110.11577
86.574008
285.67174
Table: Benchmarking of rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+1000x10 data (transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
rowMins
0.013682
0.0149120
0.0184035
0.0161905
0.0206895
0.039118
2
apply+min
0.076174
0.0853800
0.1044279
0.0934185
0.1117440
0.243824
4
lapply+pmin.int
0.812497
0.8517465
0.9095495
0.8968730
0.9313290
1.421450
3
lapply+pmin
1.252533
1.3009360
1.4894101
1.3448430
1.4586115
6.843495
expr
min
lq
mean
median
uq
max
1
rowMins
1.000000
1.00000
1.000000
1.000000
1.000000
1.000000
2
apply+min
5.567461
5.72559
5.674346
5.769958
5.401001
6.233039
4
lapply+pmin.int
59.384374
57.11819
49.422583
55.395016
45.014573
36.337492
3
lapply+pmin
91.546046
87.24088
80.930720
83.063710
70.500085
174.944910
Figure: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+1000x10 data as well as rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on the same data transposed. Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins() and rowMins() on double+1000x10 data (original and transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
9.627
11.0775
14.26399
12.8145
17.1670
24.682
2
rowMins
13.682
14.9120
18.40352
16.1905
20.6895
39.118
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.000000
1.00000
1.00000
2
rowMins
1.421211
1.346152
1.290208
1.263452
1.20519
1.58488
Figure: Benchmarking of colMins() and rowMins() on double+1000x10 data (original and transposed). Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+10x1000 data. The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
0.024620
0.0275000
0.0304335
0.0291165
0.0307555
0.067049
4
lapply+pmin.int
0.077571
0.0809720
0.0870117
0.0832275
0.0858395
0.269989
3
lapply+pmin
0.085062
0.0891845
0.0954976
0.0920500
0.0955835
0.201564
2
apply+min
0.795285
0.8154235
0.8691160
0.8392840
0.8656865
1.650140
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
4
lapply+pmin.int
3.150731
2.944436
2.859074
2.858431
2.791029
4.026742
3
lapply+pmin
3.454996
3.243073
3.137905
3.161438
3.107851
3.006219
2
apply+min
32.302396
29.651764
28.557834
28.825031
28.147372
24.610956
Table: Benchmarking of rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+10x1000 data (transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
rowMins
0.030372
0.0321985
0.0350688
0.033166
0.0349110
0.070459
4
lapply+pmin.int
0.060829
0.0628215
0.0684341
0.064228
0.0678125
0.164972
3
lapply+pmin
0.068250
0.0711025
0.0761724
0.073323
0.0773395
0.106776
2
apply+min
0.782291
0.8289390
0.8781201
0.853268
0.8887410
1.348696
expr
min
lq
mean
median
uq
max
1
rowMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
4
lapply+pmin.int
2.002799
1.951069
1.951421
1.936562
1.942439
2.341390
3
lapply+pmin
2.247136
2.208255
2.172082
2.210788
2.215333
1.515435
2
apply+min
25.756980
25.744647
25.039888
25.727190
25.457334
19.141572
Figure: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+10x1000 data as well as rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on the same data transposed. Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins() and rowMins() on double+10x1000 data (original and transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
24.620
27.5000
30.43354
29.1165
30.7555
67.049
2
rowMins
30.372
32.1985
35.06885
33.1660
34.9110
70.459
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
2
rowMins
1.233631
1.170854
1.152309
1.139079
1.135114
1.050858
Figure: Benchmarking of colMins() and rowMins() on double+10x1000 data (original and transposed). Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+100x1000 data. The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
0.125447
0.1293965
0.1383702
0.1340865
0.1430755
0.179716
4
lapply+pmin.int
0.844252
0.8605065
1.0237278
0.8729505
0.9542095
11.687480
3
lapply+pmin
0.894233
0.9153215
0.9705503
0.9329275
0.9927140
1.325962
2
apply+min
1.717592
1.7599595
2.0954581
1.8037595
1.9702600
12.374341
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
4
lapply+pmin.int
6.729950
6.650153
7.398468
6.510353
6.669272
65.033052
3
lapply+pmin
7.128373
7.073773
7.014155
6.957654
6.938393
7.378097
2
apply+min
13.691774
13.601291
15.143849
13.452208
13.770771
68.854977
Table: Benchmarking of rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+100x1000 data (transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
rowMins
0.145162
0.1474045
0.1567973
0.149268
0.1639280
0.207378
4
lapply+pmin.int
0.452342
0.4573810
0.5973159
0.473369
0.5424650
10.333709
3
lapply+pmin
0.498693
0.5114845
0.5593986
0.536469
0.6130055
0.695302
2
apply+min
1.286449
1.3035705
1.6513155
1.352268
1.5885595
11.654073
expr
min
lq
mean
median
uq
max
1
rowMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
4
lapply+pmin.int
3.116118
3.102897
3.809478
3.171269
3.309166
49.830305
3
lapply+pmin
3.435424
3.469938
3.567654
3.593999
3.739480
3.352824
2
apply+min
8.862161
8.843492
10.531528
9.059330
9.690593
56.197249
Figure: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+100x1000 data as well as rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on the same data transposed. Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins() and rowMins() on double+100x1000 data (original and transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
125.447
129.3965
138.3702
134.0865
143.0755
179.716
2
rowMins
145.162
147.4045
156.7973
149.2680
163.9280
207.378
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.000000
2
rowMins
1.157158
1.139169
1.133172
1.113222
1.145745
1.153921
Figure: Benchmarking of colMins() and rowMins() on double+100x1000 data (original and transposed). Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+1000x100 data. The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
0.087550
0.0908305
0.1005055
0.0979455
0.106838
0.148626
2
apply+min
0.618106
0.6392605
0.8212992
0.6531100
0.719426
13.715711
4
lapply+pmin.int
1.402662
1.4410135
1.7166064
1.4871865
1.705920
15.539851
3
lapply+pmin
1.838623
1.8596280
2.1403272
1.9354630
2.042736
14.988205
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.00000
1.000000
1.000000
1.000000
1.00000
2
apply+min
7.060034
7.03795
8.171682
6.668096
6.733803
92.28339
4
lapply+pmin.int
16.021268
15.86486
17.079723
15.183817
15.967352
104.55675
3
lapply+pmin
21.000834
20.47361
21.295619
19.760612
19.119934
100.84511
Table: Benchmarking of rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+1000x100 data (transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
rowMins
0.119345
0.1228785
0.1327945
0.1270245
0.1391235
0.178257
2
apply+min
0.644483
0.6641285
0.8757188
0.6867545
0.7476560
14.402261
4
lapply+pmin.int
1.194387
1.2165765
1.4497701
1.2433510
1.3700915
14.977114
3
lapply+pmin
1.628410
1.6549210
1.9395221
1.7027975
2.0019985
14.006635
expr
min
lq
mean
median
uq
max
1
rowMins
1.000000
1.000000
1.000000
1.000000
1.000000
1.00000
2
apply+min
5.400168
5.404757
6.594539
5.406473
5.374045
80.79493
4
lapply+pmin.int
10.007851
9.900646
10.917393
9.788277
9.848024
84.01978
3
lapply+pmin
13.644560
13.467946
14.605436
13.405268
14.390082
78.57551
Figure: Benchmarking of colMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on double+1000x100 data as well as rowMins(), apply+min(), lapply+pmin() and lapply+pmin.int() on the same data transposed. Outliers are displayed as crosses. Times are in milliseconds.
Table: Benchmarking of colMins() and rowMins() on double+1000x100 data (original and transposed). The top panel shows times in milliseconds and the bottom panel shows relative times.
expr
min
lq
mean
median
uq
max
1
colMins
87.550
90.8305
100.5055
97.9455
106.8380
148.626
2
rowMins
119.345
122.8785
132.7945
127.0245
139.1235
178.257
expr
min
lq
mean
median
uq
max
1
colMins
1.000000
1.000000
1.000000
1.00000
1.000000
1.000000
2
rowMins
1.363164
1.352833
1.321266
1.29689
1.302191
1.199366
Figure: Benchmarking of colMins() and rowMins() on double+1000x100 data (original and transposed). Outliers are displayed as crosses. Times are in milliseconds.