This function makes a data table with the result of germination indices for each experimental unit.

ger_summary(SeedN, evalName, data)

Arguments

SeedN

Name of the column with the seed numbers

evalName

Prefix of the evaluation variable

data

The name of the data frame containing the data.

Value

Data frame with the summary values of germination variables.

Examples

library(GerminaR) fb <- prosopis smr <- ger_summary(SeedN = "seeds", evalName = "D", data = fb) smr
#> rep nacl temp seeds grs grp mgt mgr gsp unc #> 1 1 0.0 25 50 50 100 1.280000 0.7812500 78.12500 0.9461447 #> 2 2 0.0 25 50 50 100 1.220000 0.8196721 81.96721 0.8157272 #> 3 3 0.0 25 50 50 100 1.320000 0.7575758 75.75758 0.9043815 #> 4 4 0.0 25 50 50 100 1.140000 0.8771930 87.71930 0.5842388 #> 5 1 0.0 30 50 50 100 1.040000 0.9615385 96.15385 0.2422922 #> 6 2 0.0 30 50 50 100 1.060000 0.9433962 94.33962 0.3274449 #> 7 3 0.0 30 50 50 100 1.000000 1.0000000 100.00000 0.0000000 #> 8 4 0.0 30 50 50 100 1.020000 0.9803922 98.03922 0.1414405 #> 9 1 0.5 25 50 50 100 1.900000 0.5263158 52.63158 1.0844751 #> 10 2 0.5 25 50 50 100 1.700000 0.5882353 58.82353 1.1985488 #> 11 3 0.5 25 50 50 100 1.880000 0.5319149 53.19149 0.5293609 #> 12 4 0.5 25 50 50 100 1.840000 0.5434783 54.34783 0.6343096 #> 13 1 0.5 30 50 50 100 1.100000 0.9090909 90.90909 0.4689956 #> 14 2 0.5 30 50 50 100 1.160000 0.8620690 86.20690 0.6343096 #> 15 3 0.5 30 50 50 100 1.080000 0.9259259 92.59259 0.4021792 #> 16 4 0.5 30 50 50 100 1.060000 0.9433962 94.33962 0.3274449 #> 17 1 1.0 25 50 48 96 2.666667 0.3750000 37.50000 1.4171327 #> 18 2 1.0 25 50 48 96 2.708333 0.3692308 36.92308 1.4081359 #> 19 3 1.0 25 50 47 94 2.531915 0.3949580 39.49580 1.5822405 #> 20 4 1.0 25 50 49 98 2.897959 0.3450704 34.50704 1.4950825 #> 21 1 1.0 30 50 49 98 1.959184 0.5104167 51.04167 0.9281698 #> 22 2 1.0 30 50 50 100 1.940000 0.5154639 51.54639 0.7050757 #> 23 3 1.0 30 50 48 96 1.833333 0.5454545 54.54545 0.6500224 #> 24 4 1.0 30 50 50 100 1.860000 0.5376344 53.76344 0.5842388 #> 25 1 1.5 25 50 47 94 5.382979 0.1857708 18.57708 1.6951591 #> 26 2 1.5 25 50 48 96 5.458333 0.1832061 18.32061 1.8213883 #> 27 3 1.5 25 50 48 96 5.479167 0.1825095 18.25095 1.6026878 #> 28 4 1.5 25 50 49 98 5.448980 0.1835206 18.35206 1.5043742 #> 29 1 1.5 30 50 50 100 3.160000 0.3164557 31.64557 1.5468954 #> 30 2 1.5 30 50 50 100 2.960000 0.3378378 33.78378 1.0302088 #> 31 3 1.5 30 50 50 100 2.900000 0.3448276 34.48276 1.2633065 #> 32 4 1.5 30 50 47 94 2.957447 0.3381295 33.81295 1.0697797 #> 33 1 2.0 25 50 47 94 6.680851 0.1496815 14.96815 1.6179042 #> 34 2 2.0 25 50 47 94 6.063830 0.1649123 16.49123 1.9947498 #> 35 3 2.0 25 50 46 92 6.695652 0.1493506 14.93506 1.9243519 #> 36 4 2.0 25 50 49 98 6.653061 0.1503067 15.03067 1.5071571 #> 37 1 2.0 30 50 46 92 4.326087 0.2311558 23.11558 1.2646502 #> 38 2 2.0 30 50 48 96 4.333333 0.2307692 23.07692 1.3775500 #> 39 3 2.0 30 50 47 94 4.446809 0.2248804 22.48804 1.6034362 #> 40 4 2.0 30 50 47 94 4.446809 0.2248804 22.48804 1.9685404 #> 41 1 0.0 35 50 50 100 1.040000 0.9615385 96.15385 0.2422922 #> 42 2 0.0 35 50 50 100 1.000000 1.0000000 100.00000 0.0000000 #> 43 3 0.0 35 50 50 100 1.020000 0.9803922 98.03922 0.1414405 #> 44 4 0.0 35 50 50 100 1.000000 1.0000000 100.00000 0.0000000 #> 45 1 0.0 40 50 50 100 1.060000 0.9433962 94.33962 0.3274449 #> 46 2 0.0 40 50 50 100 1.040000 0.9615385 96.15385 0.2422922 #> 47 3 0.0 40 50 50 100 1.020000 0.9803922 98.03922 0.1414405 #> 48 4 0.0 40 50 50 100 1.020000 0.9803922 98.03922 0.1414405 #> 49 1 0.5 35 50 50 100 1.120000 0.8928571 89.28571 0.3274449 #> 50 2 0.5 35 50 48 96 1.062500 0.9411765 94.11765 0.3372901 #> 51 3 0.5 35 50 50 100 1.060000 0.9433962 94.33962 0.2822922 #> 52 4 0.5 35 50 48 96 1.062500 0.9411765 94.11765 0.3372901 #> 53 1 0.5 40 50 48 96 2.333333 0.4285714 42.85714 1.1228074 #> 54 2 0.5 40 50 49 98 2.346939 0.4260870 42.60870 1.3718323 #> 55 3 0.5 40 50 48 96 2.375000 0.4210526 42.10526 1.2987949 #> 56 4 0.5 40 50 47 94 2.255319 0.4433962 44.33962 1.4883676 #> 57 1 1.0 35 50 49 98 1.653061 0.6049383 60.49383 1.1796780 #> 58 2 1.0 35 50 48 96 1.729167 0.5783133 57.83133 1.4531143 #> 59 3 1.0 35 50 46 92 2.173913 0.4600000 46.00000 1.5098718 #> 60 4 1.0 35 50 49 98 1.714286 0.5833333 58.33333 1.0214779 #> 61 1 1.0 40 50 50 100 2.940000 0.3401361 34.01361 1.4015264 #> 62 2 1.0 40 50 48 96 2.520833 0.3966942 39.66942 1.6336284 #> 63 3 1.0 40 50 49 98 2.714286 0.3684211 36.84211 1.8160410 #> 64 4 1.0 40 50 50 100 2.740000 0.3649635 36.49635 1.1510457 #> 65 1 1.5 35 50 50 100 3.380000 0.2958580 29.58580 1.7518407 #> 66 2 1.5 35 50 48 96 3.354167 0.2981366 29.81366 1.5487081 #> 67 3 1.5 35 50 50 100 3.360000 0.2976190 29.76190 1.5566689 #> 68 4 1.5 35 50 49 98 3.387755 0.2951807 29.51807 1.6343886 #> 69 1 1.5 40 50 6 12 3.333333 0.3000000 30.00000 1.4591479 #> 70 2 1.5 40 50 6 12 3.166667 0.3157895 31.57895 1.4591479 #> 71 3 1.5 40 50 4 8 3.250000 0.3076923 30.76923 1.5000000 #> 72 4 1.5 40 50 5 10 3.400000 0.2941176 29.41176 1.3709506 #> 73 1 2.0 35 50 10 20 6.800000 0.1470588 14.70588 2.6464393 #> 74 2 2.0 35 50 10 20 7.400000 0.1351351 13.51351 1.4854753 #> 75 3 2.0 35 50 9 18 6.555556 0.1525424 15.25424 1.3516441 #> 76 4 2.0 35 50 11 22 7.181818 0.1392405 13.92405 2.1626441 #> 77 1 2.0 40 50 0 0 NaN NaN NaN 0.0000000 #> 78 2 2.0 40 50 0 0 NaN NaN NaN 0.0000000 #> 79 3 2.0 40 50 0 0 NaN NaN NaN 0.0000000 #> 80 4 2.0 40 50 0 0 NaN NaN NaN 0.0000000 #> syn vgt sdg cvg #> 1 0.63020408 0.32816327 0.5728554 44.75433 #> 2 0.66612245 0.21591837 0.4646702 38.08772 #> 3 0.55591837 0.22204082 0.4712121 35.69788 #> 4 0.75428571 0.12285714 0.3505098 30.74648 #> 5 0.92163265 0.03918367 0.1979487 19.03353 #> 6 0.88489796 0.05755102 0.2398979 22.63188 #> 7 1.00000000 0.00000000 0.0000000 0.00000 #> 8 0.96000000 0.02000000 0.1414214 13.86484 #> 9 0.58122449 0.37755102 0.6144518 32.33957 #> 10 0.48000000 0.37755102 0.6144518 36.14422 #> 11 0.78448980 0.10775510 0.3282607 17.46068 #> 12 0.72571429 0.13714286 0.3703280 20.12652 #> 13 0.81632653 0.09183673 0.3030458 27.54961 #> 14 0.72571429 0.13714286 0.3703280 31.92483 #> 15 0.84979592 0.07510204 0.2740475 25.37477 #> 16 0.88489796 0.05755102 0.2398979 22.63188 #> 17 0.38652482 0.48226950 0.6944563 26.04211 #> 18 0.40514184 0.76418440 0.8741764 32.27728 #> 19 0.39222942 0.86308973 0.9290262 36.69263 #> 20 0.36224490 0.51020408 0.7142857 24.64789 #> 21 0.64795918 0.20663265 0.4545686 23.20194 #> 22 0.74612245 0.13918367 0.3730733 19.23058 #> 23 0.71631206 0.14184397 0.3766218 20.54301 #> 24 0.75428571 0.12285714 0.3505098 18.84461 #> 25 0.30712303 1.71970398 1.3113748 24.36151 #> 26 0.29521277 2.08333333 1.4433757 26.44352 #> 27 0.34485816 2.08466312 1.4438363 26.35138 #> 28 0.35374150 2.21088435 1.4869043 27.28776 #> 29 0.48081633 0.70857143 0.8417668 26.63819 #> 30 0.59918367 0.24326531 0.4932193 16.66282 #> 31 0.50775510 0.37755102 0.6144518 21.18799 #> 32 0.57909343 0.25901943 0.5089395 17.20875 #> 33 0.39037928 0.61332100 0.7831481 11.72228 #> 34 0.26734505 1.06105458 1.0300750 16.98720 #> 35 0.29855072 0.92753623 0.9630868 14.38376 #> 36 0.40816327 0.98129252 0.9906021 14.88942 #> 37 0.44057971 0.35797101 0.5983068 13.83021 #> 38 0.39982270 0.43971631 0.6631111 15.30256 #> 39 0.36077706 0.55689177 0.7462518 16.78174 #> 40 0.28029602 1.03515264 1.0174245 22.87988 #> 41 0.92163265 0.03918367 0.1979487 19.03353 #> 42 1.00000000 0.00000000 0.0000000 0.00000 #> 43 0.96000000 0.02000000 0.1414214 13.86484 #> 44 1.00000000 0.00000000 0.0000000 0.00000 #> 45 0.88489796 0.05755102 0.2398979 22.63188 #> 46 0.92163265 0.03918367 0.1979487 19.03353 #> 47 0.96000000 0.02000000 0.1414214 13.86484 #> 48 0.96000000 0.02000000 0.1414214 13.86484 #> 49 0.88489796 0.23020408 0.4797959 42.83892 #> 50 0.88031915 0.05984043 0.2446230 23.02334 #> 51 0.92081633 0.09836735 0.3136357 29.58827 #> 52 0.88031915 0.05984043 0.2446230 23.02334 #> 53 0.50620567 0.86524823 0.9301872 39.86517 #> 54 0.42517007 0.73129252 0.8551564 36.43710 #> 55 0.45744681 0.75000000 0.8660254 36.46423 #> 56 0.36725254 0.71600370 0.8461700 37.51886 #> 57 0.46768707 0.31462585 0.5609152 33.93191 #> 58 0.37322695 0.49955674 0.7067933 40.87479 #> 59 0.35458937 0.76908213 0.8769733 40.34077 #> 60 0.53826531 0.25000000 0.5000000 29.16667 #> 61 0.47183673 0.46571429 0.6824326 23.21199 #> 62 0.36258865 0.63785461 0.7986580 31.68230 #> 63 0.30527211 0.83333333 0.9128709 33.63209 #> 64 0.59102041 0.48204082 0.6942916 25.33911 #> 65 0.32897959 0.73020408 0.8545198 25.28165 #> 66 0.40780142 0.57402482 0.7576443 22.58815 #> 67 0.37387755 0.52081633 0.7216761 21.47845 #> 68 0.36309524 0.74234694 0.8615956 25.43264 #> 69 0.26666667 0.66666667 0.8164966 24.49490 #> 70 0.26666667 0.96666667 0.9831921 31.04817 #> 71 0.16666667 0.91666667 0.9574271 29.45930 #> 72 0.30000000 0.80000000 0.8944272 26.30668 #> 73 0.08888889 4.84444444 2.2010099 32.36779 #> 74 0.31111111 3.37777778 1.8378732 24.83612 #> 75 0.36111111 3.77777778 1.9436506 29.64891 #> 76 0.16363636 2.76363636 1.6624188 23.14760 #> 77 NaN 0.00000000 0.0000000 NaN #> 78 NaN 0.00000000 0.0000000 NaN #> 79 NaN 0.00000000 0.0000000 NaN #> 80 NaN 0.00000000 0.0000000 NaN