plate_matrix: plate layout matrix from well IDs
In platetools: Tools and Plots for Multi-Well Plates
Description
Usage
Arguments
Value
Examples
Description
Given a dataframe of alpha-numeric well IDs e.g ("A01"), and values,
this function will produce a matrix in the form of a plate layout.
Usage
1
plate_matrix(data, well, plate = 96)
Arguments
data
vector of data to be placed in matrix
well
vector of alphanumeric well IDs. e.g ("A01")
plate
number of wells in plate (6, 12, 24, 48, 96 or 384, 1536)
Value
matrix
Examples
1
2
3
4
5
6
7
a <- 1:96
wells <- num_to_well(1:96)
plate_matrix(data = a, well = wells)
x <- rnorm(384)
wells <- num_to_well(1:384, plate = 384)
plate_matrix(data = x, well = wells, plate = 384)
Example output
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12]
[1,] 1 2 3 4 5 6 7 8 9 10 11 12
[2,] 13 14 15 16 17 18 19 20 21 22 23 24
[3,] 25 26 27 28 29 30 31 32 33 34 35 36
[4,] 37 38 39 40 41 42 43 44 45 46 47 48
[5,] 49 50 51 52 53 54 55 56 57 58 59 60
[6,] 61 62 63 64 65 66 67 68 69 70 71 72
[7,] 73 74 75 76 77 78 79 80 81 82 83 84
[8,] 85 86 87 88 89 90 91 92 93 94 95 96
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] -0.43001549 -2.07406662 -0.6788003 0.4714550 -0.993298325 -0.04494689
[2,] 0.41478483 1.31481994 1.4937985 0.6838612 1.115843913 -0.70393984
[3,] -0.67463693 0.79076277 1.4544824 0.3966128 0.737822654 -0.22884658
[4,] -0.24864613 -0.33015878 0.8999992 0.3903796 0.053849813 0.02938511
[5,] 0.52975319 0.81082895 -0.3130085 1.1544473 0.017179737 0.60355567
[6,] -0.69255942 1.53641450 1.1184442 -0.2646075 -1.560260748 -1.05498399
[7,] 1.65065485 0.19749979 -1.6494074 0.8975131 2.163425139 1.16061562
[8,] -1.41958090 1.05130776 -2.7299826 -2.0411289 -0.008988688 0.07814735
[9,] -0.69364644 -1.05015886 -1.5759213 0.1539821 -0.062549670 -0.95128451
[10,] -0.84332480 -1.04039493 -1.1454768 -0.9835307 -0.921721629 -0.07409760
[11,] 1.33436290 -0.32828285 -0.6944637 -1.0658337 -0.540176373 -0.76009678
[12,] -0.04644476 0.89853647 0.9347341 0.7930496 -1.296244520 0.63148192
[13,] -1.06176358 -0.52340926 -0.1516147 0.6681078 0.539760920 1.44025887
[14,] 1.07393572 -0.05720674 1.2005924 1.7557699 -0.323868629 0.96019564
[15,] 0.01242104 -0.95496332 0.4080274 -0.8542984 0.880042711 -1.53286348
[16,] 1.36402865 0.09533200 -0.1378094 -1.1702077 -1.011375258 0.42614819
[,7] [,8] [,9] [,10] [,11] [,12]
[1,] -0.677625724 1.3551411 -0.16581837 -0.46080037 0.25642621 -0.84491016
[2,] 0.414909932 -0.4863893 1.81912628 -0.65915065 0.02233700 -0.30729580
[3,] 2.307332524 -0.4997450 -1.12479618 1.26849462 1.80703396 -0.23130945
[4,] 0.842596820 -0.2995183 0.52037965 -0.90636301 1.52932624 -0.60441168
[5,] 0.895545194 1.2707304 1.81441914 0.61169964 1.05893168 1.78435402
[6,] 1.129762635 -0.9672783 0.95832510 1.89905750 0.27471913 -0.46545410
[7,] -1.258511783 0.1290916 -2.12757811 -0.34221827 -0.73251602 -1.38103361
[8,] 0.295818512 -1.7763866 0.18627927 0.80246829 0.12329500 1.52775240
[9,] 0.916068162 2.5069000 -1.96647597 -1.82191770 -0.34569779 -2.14710733
[10,] 0.003214472 -0.5926803 0.70265699 2.79698095 -0.45049866 0.16836954
[11,] -1.107996448 -2.5835483 -0.05335469 -0.02381676 0.18096516 -0.31751549
[12,] 0.041217305 -0.0817777 -0.25463743 -1.14706686 1.25438898 1.81921755
[13,] -0.210776730 -0.7749957 -0.82168075 -0.33425161 1.38545889 0.83920205
[14,] 0.478532019 0.9043620 -1.57420222 -0.38726150 0.05979205 -0.05955576
[15,] 2.258055598 -0.1441539 -0.13309127 0.35747428 -1.37671144 -0.16339894
[16,] -1.050125307 -1.7693043 1.02624324 0.18879827 -0.95012751 0.41378326
[,13] [,14] [,15] [,16] [,17] [,18]
[1,] -0.595414118 -0.295747601 -1.20204696 0.9926392 -0.774850829 0.32107345
[2,] -0.455674001 3.326823889 0.09547371 -2.1096118 -0.968877998 0.32661100
[3,] -0.004801579 0.411944495 0.45558638 2.1870258 -1.660911263 -0.24354758
[4,] 1.545501131 0.060414446 0.04661517 0.3791782 0.928428992 0.12444407
[5,] -0.115659656 0.930716743 0.19449010 2.0975858 -0.098389515 1.42796952
[6,] -0.156839975 -2.269419224 -0.31603764 2.1865055 -0.218896043 -0.16803407
[7,] 0.153973366 -0.614813891 0.32726518 0.8469747 0.522154786 -0.09588664
[8,] 1.834560326 0.229531025 -0.03465016 0.4017719 0.782206897 0.64014700
[9,] -0.221102064 -0.344843227 -0.84346726 0.6471924 -0.454121234 0.18679481
[10,] 0.310103933 0.501514957 1.33687275 0.8745548 0.064408811 0.02961669
[11,] -0.711973974 -0.373916843 -1.32726740 -0.3646853 0.271439921 -1.08068057
[12,] 0.557337507 -0.919546271 -1.99869711 1.8425340 -0.005645515 -0.30670195
[13,] -0.152768096 -0.822654713 -0.64798787 -0.3602038 -1.107954553 -0.30088851
[14,] -1.212147702 1.794546547 -1.27105486 0.7008057 2.394283377 -0.88178728
[15,] -0.229739224 -1.586213639 1.10501157 1.8607463 0.053238422 1.25193061
[16,] 0.209382529 -0.002628564 1.38499557 0.5869463 0.433495338 0.09308481
[,19] [,20] [,21] [,22] [,23] [,24]
[1,] -0.7624761 -0.05731834 -0.5691730 0.73064998 -0.8124654 0.6251310
[2,] 1.2566437 -2.21034932 1.3583004 -1.03788514 0.8619937 1.5125355
[3,] 1.1688503 -0.81213099 0.4764287 -0.05350652 1.4339252 -2.1605183
[4,] 1.4155293 -1.10561225 2.0337966 -1.32019059 2.5779992 0.2519307
[5,] -0.9699856 -0.12031624 -0.2508060 0.37637554 0.4794555 -1.5509365
[6,] -2.3238586 -0.75400472 -0.6620278 -0.33055240 1.8832661 0.3705869
[7,] -2.5737476 0.81375945 0.7872657 1.94073721 -0.6122319 0.3313321
[8,] -0.2318451 0.96723491 -0.3280679 0.81785435 0.2248968 -0.8789112
[9,] -0.5120908 -0.41622697 0.2877379 1.01890348 -1.8250831 1.5713147
[10,] -0.5053310 -0.72172398 0.1385351 -1.72980371 -0.8378361 0.8412396
[11,] -0.5616346 0.05546505 0.5613102 -0.17647540 0.7926953 0.5288976
[12,] 1.3497048 -1.17836924 0.3708587 0.22118056 -1.0788532 0.1203362
[13,] 0.8135299 -0.72981275 -0.4107100 0.47002180 -1.0628420 -0.3687687
[14,] 0.6790961 2.03341529 0.5594224 0.27388566 -0.6520086 1.5407778
[15,] -1.7864719 0.66151162 -0.4829148 1.07651617 -0.2553167 1.5693927
[16,] -0.0298003 1.84750242 1.1567110 1.54646878 -1.0279510 0.7874104
platetools documentation built on June 3, 2021, 5:06 p.m.
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Description Usage Arguments Value Examples
Description
Given a dataframe of alpha-numeric well IDs e.g ("A01"), and values, this function will produce a matrix in the form of a plate layout.
Usage
1 | plate_matrix(data, well, plate = 96)
|
Arguments
data |
vector of data to be placed in matrix |
well |
vector of alphanumeric well IDs. e.g ("A01") |
plate |
number of wells in plate (6, 12, 24, 48, 96 or 384, 1536) |
Value
matrix
Examples
1 2 3 4 5 6 7 | a <- 1:96
wells <- num_to_well(1:96)
plate_matrix(data = a, well = wells)
x <- rnorm(384)
wells <- num_to_well(1:384, plate = 384)
plate_matrix(data = x, well = wells, plate = 384)
|
Example output
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12]
[1,] 1 2 3 4 5 6 7 8 9 10 11 12
[2,] 13 14 15 16 17 18 19 20 21 22 23 24
[3,] 25 26 27 28 29 30 31 32 33 34 35 36
[4,] 37 38 39 40 41 42 43 44 45 46 47 48
[5,] 49 50 51 52 53 54 55 56 57 58 59 60
[6,] 61 62 63 64 65 66 67 68 69 70 71 72
[7,] 73 74 75 76 77 78 79 80 81 82 83 84
[8,] 85 86 87 88 89 90 91 92 93 94 95 96
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] -0.43001549 -2.07406662 -0.6788003 0.4714550 -0.993298325 -0.04494689
[2,] 0.41478483 1.31481994 1.4937985 0.6838612 1.115843913 -0.70393984
[3,] -0.67463693 0.79076277 1.4544824 0.3966128 0.737822654 -0.22884658
[4,] -0.24864613 -0.33015878 0.8999992 0.3903796 0.053849813 0.02938511
[5,] 0.52975319 0.81082895 -0.3130085 1.1544473 0.017179737 0.60355567
[6,] -0.69255942 1.53641450 1.1184442 -0.2646075 -1.560260748 -1.05498399
[7,] 1.65065485 0.19749979 -1.6494074 0.8975131 2.163425139 1.16061562
[8,] -1.41958090 1.05130776 -2.7299826 -2.0411289 -0.008988688 0.07814735
[9,] -0.69364644 -1.05015886 -1.5759213 0.1539821 -0.062549670 -0.95128451
[10,] -0.84332480 -1.04039493 -1.1454768 -0.9835307 -0.921721629 -0.07409760
[11,] 1.33436290 -0.32828285 -0.6944637 -1.0658337 -0.540176373 -0.76009678
[12,] -0.04644476 0.89853647 0.9347341 0.7930496 -1.296244520 0.63148192
[13,] -1.06176358 -0.52340926 -0.1516147 0.6681078 0.539760920 1.44025887
[14,] 1.07393572 -0.05720674 1.2005924 1.7557699 -0.323868629 0.96019564
[15,] 0.01242104 -0.95496332 0.4080274 -0.8542984 0.880042711 -1.53286348
[16,] 1.36402865 0.09533200 -0.1378094 -1.1702077 -1.011375258 0.42614819
[,7] [,8] [,9] [,10] [,11] [,12]
[1,] -0.677625724 1.3551411 -0.16581837 -0.46080037 0.25642621 -0.84491016
[2,] 0.414909932 -0.4863893 1.81912628 -0.65915065 0.02233700 -0.30729580
[3,] 2.307332524 -0.4997450 -1.12479618 1.26849462 1.80703396 -0.23130945
[4,] 0.842596820 -0.2995183 0.52037965 -0.90636301 1.52932624 -0.60441168
[5,] 0.895545194 1.2707304 1.81441914 0.61169964 1.05893168 1.78435402
[6,] 1.129762635 -0.9672783 0.95832510 1.89905750 0.27471913 -0.46545410
[7,] -1.258511783 0.1290916 -2.12757811 -0.34221827 -0.73251602 -1.38103361
[8,] 0.295818512 -1.7763866 0.18627927 0.80246829 0.12329500 1.52775240
[9,] 0.916068162 2.5069000 -1.96647597 -1.82191770 -0.34569779 -2.14710733
[10,] 0.003214472 -0.5926803 0.70265699 2.79698095 -0.45049866 0.16836954
[11,] -1.107996448 -2.5835483 -0.05335469 -0.02381676 0.18096516 -0.31751549
[12,] 0.041217305 -0.0817777 -0.25463743 -1.14706686 1.25438898 1.81921755
[13,] -0.210776730 -0.7749957 -0.82168075 -0.33425161 1.38545889 0.83920205
[14,] 0.478532019 0.9043620 -1.57420222 -0.38726150 0.05979205 -0.05955576
[15,] 2.258055598 -0.1441539 -0.13309127 0.35747428 -1.37671144 -0.16339894
[16,] -1.050125307 -1.7693043 1.02624324 0.18879827 -0.95012751 0.41378326
[,13] [,14] [,15] [,16] [,17] [,18]
[1,] -0.595414118 -0.295747601 -1.20204696 0.9926392 -0.774850829 0.32107345
[2,] -0.455674001 3.326823889 0.09547371 -2.1096118 -0.968877998 0.32661100
[3,] -0.004801579 0.411944495 0.45558638 2.1870258 -1.660911263 -0.24354758
[4,] 1.545501131 0.060414446 0.04661517 0.3791782 0.928428992 0.12444407
[5,] -0.115659656 0.930716743 0.19449010 2.0975858 -0.098389515 1.42796952
[6,] -0.156839975 -2.269419224 -0.31603764 2.1865055 -0.218896043 -0.16803407
[7,] 0.153973366 -0.614813891 0.32726518 0.8469747 0.522154786 -0.09588664
[8,] 1.834560326 0.229531025 -0.03465016 0.4017719 0.782206897 0.64014700
[9,] -0.221102064 -0.344843227 -0.84346726 0.6471924 -0.454121234 0.18679481
[10,] 0.310103933 0.501514957 1.33687275 0.8745548 0.064408811 0.02961669
[11,] -0.711973974 -0.373916843 -1.32726740 -0.3646853 0.271439921 -1.08068057
[12,] 0.557337507 -0.919546271 -1.99869711 1.8425340 -0.005645515 -0.30670195
[13,] -0.152768096 -0.822654713 -0.64798787 -0.3602038 -1.107954553 -0.30088851
[14,] -1.212147702 1.794546547 -1.27105486 0.7008057 2.394283377 -0.88178728
[15,] -0.229739224 -1.586213639 1.10501157 1.8607463 0.053238422 1.25193061
[16,] 0.209382529 -0.002628564 1.38499557 0.5869463 0.433495338 0.09308481
[,19] [,20] [,21] [,22] [,23] [,24]
[1,] -0.7624761 -0.05731834 -0.5691730 0.73064998 -0.8124654 0.6251310
[2,] 1.2566437 -2.21034932 1.3583004 -1.03788514 0.8619937 1.5125355
[3,] 1.1688503 -0.81213099 0.4764287 -0.05350652 1.4339252 -2.1605183
[4,] 1.4155293 -1.10561225 2.0337966 -1.32019059 2.5779992 0.2519307
[5,] -0.9699856 -0.12031624 -0.2508060 0.37637554 0.4794555 -1.5509365
[6,] -2.3238586 -0.75400472 -0.6620278 -0.33055240 1.8832661 0.3705869
[7,] -2.5737476 0.81375945 0.7872657 1.94073721 -0.6122319 0.3313321
[8,] -0.2318451 0.96723491 -0.3280679 0.81785435 0.2248968 -0.8789112
[9,] -0.5120908 -0.41622697 0.2877379 1.01890348 -1.8250831 1.5713147
[10,] -0.5053310 -0.72172398 0.1385351 -1.72980371 -0.8378361 0.8412396
[11,] -0.5616346 0.05546505 0.5613102 -0.17647540 0.7926953 0.5288976
[12,] 1.3497048 -1.17836924 0.3708587 0.22118056 -1.0788532 0.1203362
[13,] 0.8135299 -0.72981275 -0.4107100 0.47002180 -1.0628420 -0.3687687
[14,] 0.6790961 2.03341529 0.5594224 0.27388566 -0.6520086 1.5407778
[15,] -1.7864719 0.66151162 -0.4829148 1.07651617 -0.2553167 1.5693927
[16,] -0.0298003 1.84750242 1.1567110 1.54646878 -1.0279510 0.7874104
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