Calculate the probability of genotypes based on the product of allele frequencies over all loci.

pgen(gid, pop = NULL, by_pop = TRUE, log = TRUE, freq = NULL, ...)

Arguments

gid

a genind or genclone object.

pop

either a formula to set the population factor from the strata slot or a vector specifying the population factor for each sample. Defaults to NULL.

by_pop

When this is TRUE (default), the calculation will be done by population.

log

a logical if log =TRUE (default), the values returned will be log(Pgen). If log = FALSE, the values returned will be Pgen.

freq

a vector or matrix of allele frequencies. This defaults to NULL, indicating that the frequencies will be determined via round-robin approach in rraf. If this matrix or vector is not provided, zero-value allele frequencies will automatically be corrected. For details, please see the documentation on correcting rare alleles.

...

options from correcting rare alleles. The default is to correct allele frequencies to 1/n

Value

A vector containing Pgen values per locus for each genotype in the object.

Details

Pgen is the probability of a given genotype occuring in a population assuming HWE. Thus, the value for diploids is

$$P_{gen} = \left(\prod_{i=1}^m p_i\right)2^h$$

where \(p_i\) are the allele frequencies and h is the count of the number of heterozygous sites in the sample (Arnaud-Haond et al. 2007; Parks and Werth, 1993). The allele frequencies, by default, are calculated using a round-robin approach where allele frequencies at a particular locus are calculated on the clone-censored genotypes without that locus.

To avoid issues with numerical precision of small numbers, this function calculates pgen per locus by adding up log-transformed values of allele frequencies. These can easily be transformed to return the true value (see examples).

Note

For haploids, Pgen at a particular locus is the allele frequency. This function cannot handle polyploids. Additionally, when the argument pop is not NULL, by_pop is automatically TRUE.

References

Arnaud-Haond, S., Duarte, C. M., Alberto, F., & Serrão, E. A. 2007. Standardizing methods to address clonality in population studies. Molecular Ecology, 16(24), 5115-5139.

Parks, J. C., & Werth, C. R. 1993. A study of spatial features of clones in a population of bracken fern, Pteridium aquilinum (Dennstaedtiaceae). American Journal of Botany, 537-544.

See also

Examples

data(Pram) head(pgen(Pram, log = FALSE))
#> PrMS6A1 Pr9C3A1 PrMS39A1 PrMS45A1 PrMS43A1 #> 1411152-10B 0.5 0.5 0.15 0.5 0.111111111 #> 82 0.5 0.5 0.35 0.5 0.111111111 #> 83 0.5 0.5 0.15 0.5 0.002298851 #> 84 0.5 0.5 0.35 0.5 0.004597701 #> 85 0.5 0.5 0.35 0.5 0.222222222 #> 81-NM-1 0.5 0.5 0.35 0.5 0.111111111
# \dontrun{ # You can also supply the observed allele frequencies pramfreq <- Pram %>% genind2genpop() %>% tab(freq = TRUE)
#> #> Converting data from a genind to a genpop object... #> #> ...done. #>
head(pgen(Pram, log = FALSE, freq = pramfreq))
#> PrMS6A1 Pr9C3A1 PrMS39A1 PrMS45A1 PrMS43A1 #> 1411152-10B 0.5 0.5 0.1301308 0.5 0.048799049 #> 82 0.5 0.5 0.3664209 0.5 0.129488704 #> 83 0.5 0.5 0.1301308 0.5 0.011771700 #> 84 0.5 0.5 0.3664209 0.5 0.001355529 #> 85 0.5 0.5 0.3664209 0.5 0.134197384 #> 81-NM-1 0.5 0.5 0.3664209 0.5 0.129488704
# You can get the Pgen values over all loci by summing over the logged results: pgen(Pram, log = TRUE) %>% # calculate pgen matrix rowSums(na.rm = TRUE) %>% # take the sum of each row exp() # take the exponent of the results
#> 1411152-10B 82 83 #> 2.083333e-03 4.861111e-03 4.310345e-05 #> 84 85 81-NM-1 #> 2.011494e-04 9.722222e-03 4.861111e-03 #> 06-1413-1 07-83-7-A ODA-06-1029-82B #> 4.185268e-03 4.715795e-04 4.185268e-03 #> ODA-06-1029-82C ODA-06-1029-109A ODA-06-1029-109B #> 4.185268e-03 4.185268e-03 4.185268e-03 #> 118-28-A 08-206-44-B 08-206-44-D #> 4.185268e-04 1.395089e-03 1.395089e-03 #> 08-206-44-E 351-5-A 351-5-C #> 1.395089e-03 1.771191e-05 1.771191e-05 #> 351-5-D 351-5-E 04-76-C #> 1.771191e-05 1.771191e-05 5.580357e-04 #> 04-335-2A 04-189-B4 03-74-N10A-B #> 4.185268e-03 8.370536e-04 8.370536e-04 #> 05-2033-72 05-2033-73 05-2086-12 #> 4.715795e-04 4.715795e-04 1.395089e-03 #> 05-2086-20 05-2086-31 05-2086-34 #> 4.715795e-04 1.571932e-04 1.395089e-03 #> 05-2088-3 06-30 06-81-2 #> 4.185268e-03 4.185268e-03 1.395089e-03 #> 06-1036-71B 06-1036-71C 06-1029-122D #> 4.185268e-03 4.185268e-03 4.185268e-03 #> 06-1029-122C 06-1029-122A 06-1029-98C #> 4.185268e-04 4.185268e-04 1.771191e-05 #> 06-1027-90 1369017-9 1352535-6 #> 4.185268e-03 4.861111e-03 4.861111e-03 #> 1343990-17 1344272-8 1411152-10A #> 1.005747e-04 4.861111e-03 2.083333e-03 #> 1341321-16 1418983-2 1402871-B #> 4.161712e-06 1.041667e-03 2.011494e-04 #> 1373915-5 1343990-10 1360295-17 #> 2.011494e-04 4.861111e-03 2.011494e-04 #> 1341321-32 1339849-3 1339849-5 #> 2.011494e-04 4.861111e-03 4.861111e-03 #> 1339849-6 1339849-7 1339849-8 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 1339849-10 1339849-12 1339849-13 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 1339849-15 1339849-16 1339849-17 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 1429425 07-83-7-B 07-83-37-D #> 4.861111e-03 1.395089e-03 4.185268e-03 #> 07-83-38-B 07-83-38-D 1370431-1 #> 4.185268e-03 4.185268e-04 9.722222e-03 #> 1370431-2 1370431-3 1370431-4 #> 9.722222e-03 2.011494e-04 2.011494e-04 #> 1370431-5 1428631-1 04-278-3 #> 9.722222e-03 1.005747e-04 4.185268e-03 #> 04-335-2B 04-335-2C 1314176-9 #> 4.185268e-03 3.143863e-05 4.861111e-03 #> 1314176-13 1387968 1418886 #> 4.861111e-03 1.005747e-04 2.011494e-04 #> 04-83D Phytr-06-4 Phytr-0-217 #> 5.580357e-04 2.430556e-03 4.861111e-03 #> NOR1.2 MCK1.1 MCK1.2 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 4123.100000000000364 07-1161-1C 07-1161-1E #> 1.571932e-04 8.370536e-03 4.185268e-03 #> 07-1161-4A 07-1161-4B 07-1161-3-1 #> 4.185268e-03 1.395089e-03 4.185268e-03 #> 07-1161-3-2 07-1161-3-3 07-1161-5A #> 4.185268e-03 4.185268e-03 1.395089e-03 #> 07-1161-5D 1314070-20 07-1240-1 #> 1.395089e-03 4.861111e-03 4.185268e-03 #> 08-15-1 08-16-1 1368791-19 #> 4.185268e-03 4.185268e-03 2.083333e-03 #> 1368791-21 1429891-1 1429891-2 #> 1.041667e-03 2.083333e-03 8.620690e-05 #> 1429891-3 1429891-4 1429891-6 #> 4.861111e-03 2.083333e-03 2.083333e-03 #> 1429891-7 1429891-10 1429891-11 #> 2.083333e-03 2.083333e-03 2.083333e-03 #> 1437044-28 1454471-29 1454471-31 #> 8.620690e-05 1.783591e-06 1.783591e-06 #> 1309326-1 1480397 1368791-2 #> 4.861111e-03 2.083333e-03 1.005747e-04 #> 1281744-1 1281744-3 1281744-5 #> 2.083333e-03 2.083333e-03 1.041667e-03 #> 1281744-6 1281744-7 1281744-9 #> 2.083333e-03 8.620690e-05 4.166667e-03 #> 1281744-10 1281744-15 1281744-16 #> 2.083333e-03 2.083333e-03 4.166667e-03 #> 1281744-21 1454527-12 1480844-4 #> 2.083333e-03 4.861111e-03 4.861111e-03 #> 1480844-5 1480844-8 1480844-10 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 1281744-4 1480841-6 1281789-1 #> 2.083333e-03 2.083333e-03 2.083333e-03 #> 1281789-2 1431833-31 1431833-32 #> 2.083333e-03 4.861111e-03 4.861111e-03 #> 1431833-39 1309305-21 118-28-B #> 4.861111e-03 2.011494e-04 4.185268e-03 #> 118-28-E 134-19-E 134-20-E #> 4.185268e-04 8.370536e-03 4.185268e-03 #> Pr 519- LTR1.2 Pr 520- MCK1.1 09-133-4 ODA #> 9.722222e-03 4.861111e-03 1.395089e-03 #> SOD OR 10-59-3-A SOD OR 10-59-3-D SOD OR 10-59-3-E #> 4.185268e-03 4.185268e-03 4.185268e-03 #> SOD OR 10-59-3-F SOD OR 10-59-3-H Pr 731 #> 4.185268e-03 4.185268e-03 5.208333e-04 #> Pr 732 Pr 733 Pr 734 #> 5.208333e-04 1.215278e-03 1.215278e-03 #> Pr 735 1441558-37 1441558-39 #> 1.215278e-03 4.861111e-03 9.722222e-03 #> 1469925-55 1538371-8 1560692-17 #> 1.783591e-06 9.722222e-03 1.340996e-04 #> 1623730-36 1623827-6 1631078-10 #> 9.722222e-03 9.722222e-03 4.861111e-03 #> 1631078-12 #4177 Blomquist back up 1631081-1 #> 9.722222e-03 4.861111e-03 4.861111e-03 #> 1631081-2 1631081-3 1631081-15 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 1631081-17 1631081-22 1644850-1 #> 9.722222e-03 4.861111e-03 9.722222e-03 #> 1644850-2 1644850-4 1644850-5 #> 9.722222e-03 9.722222e-03 9.722222e-03 #> 1644850-6 1644850-7 1644850-8 #> 9.722222e-03 4.861111e-03 9.722222e-03 #> 1644856-18 1644856-35 1341878-7 #> 9.722222e-03 9.722222e-03 8.620690e-05 #> 1341878-49 1365048 1496607 #> 2.083333e-03 2.011494e-04 2.011494e-04 #> 1560191-36 1583329-B 1583329-C #> 4.161712e-06 2.011494e-04 4.861111e-03 #> 1596853 1596854 1621925-9 #> 9.722222e-03 8.620690e-05 9.722222e-03 #> 1621925-11 1621926-8 1626660-3 #> 9.722222e-03 9.722222e-03 9.722222e-03 #> 1625769 1626651-10 1626656-1 #> 2.011494e-04 9.722222e-03 9.722222e-03 #> 1644994-2 PC#11-1366 ODA 81-8 #> 9.722222e-03 4.861111e-03 1.771191e-05 #> ODA 81-9 ODA 81-37 ODA 114-6 #> 1.771191e-05 1.771191e-05 1.771191e-05 #> 120187 120189 120231 #> 3.143863e-05 4.861111e-03 2.011494e-04 #> 1404252-18 1497058-26 1644623-8 #> 2.011494e-04 8.620690e-05 2.011494e-04 #> 1644623-26 230P06005897-8 230P06005897-9 #> 4.161712e-06 2.011494e-04 2.011494e-04 #> 230P06005898-20 230P06005898-21 10998-V2 #> 2.011494e-04 2.011494e-04 1.571932e-05 #> 1004.1 1008.1 1019.1 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 1021.1 1030.1 1031.1 #> 3.128552e-05 1.962943e-02 1.962943e-02 #> 1032.1 1033.1 1041 #> 1.962943e-02 1.877131e-04 1.962943e-02 #> 1044 1055 2029.1 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2043.1 2091.1 2092 #> 1.962943e-02 1.962943e-02 1.673328e-04 #> 2096 2099.1 2108.1 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2108.2 2110.4 4088.1 #> 1.877131e-04 1.962943e-02 3.271572e-03 #> 4089.1 4120 4122.4 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 4131 4143.1 4144.1 #> 1.962943e-02 3.271572e-03 1.962943e-02 #> 4146.1 4154 4158.2 #> 1.962943e-02 3.128552e-05 1.962943e-02 #> 4167.1 4168.2 4169.1 #> 1.877131e-04 1.877131e-04 1.962943e-02 #> 4172.2 4173.2 5013.1 #> 1.962943e-02 3.271572e-03 1.962943e-02 #> 5019 1020.1 2018.1 #> 1.962943e-02 1.138507e-02 1.962943e-02 #> 2148.1 2153.3 2157.3 #> 1.962943e-02 1.962943e-02 1.877131e-04 #> 2176 2178 2179 #> 1.962943e-02 1.962943e-02 1.877131e-04 #> 2180 2181 2183 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2184 2190 2192 #> 1.962943e-02 1.962943e-02 1.877131e-04 #> 2193 2194 2195 #> 1.962943e-02 1.795071e-06 1.962943e-02 #> 2206 2220 4215 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 4242 4251.1 4252.1 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 4280 4297 4301.1 #> 1.877131e-04 1.877131e-04 1.877131e-04 #> 4318.1 4320.1 5410 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 5448.1 5449.1 5450 #> 1.962943e-02 1.673328e-04 1.962943e-02 #> 5451 5464 5467 #> 1.877131e-04 1.962943e-02 1.795071e-06 #> WA12-101402 WA9-111302 2027 #> 1.269976e-02 2.024096e-05 1.600177e-06 #> 1105 2222 2234.1 #> 1.962943e-02 1.962943e-02 3.271572e-03 #> 2234.2 2235.1 2235.2 #> 3.128552e-05 3.271572e-03 1.877131e-04 #> 2236 2236.10 2236.6 #> 1.877131e-04 1.962943e-02 1.962943e-02 #> 2236.7 2243.1 2243.3 #> 1.962943e-02 1.877131e-04 1.962943e-02 #> 2243.5 2243.6 2243.8 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2271 2274 2295 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2336.1 2336.2 2336.3 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2336.4 2336.5 2340 #> 1.962943e-02 1.962943e-02 1.795071e-06 #> 2344 2402 2404.1 #> 1.962943e-02 3.271572e-03 1.962943e-02 #> 2424 2542 2552 #> 1.962943e-02 1.620370e-03 1.962943e-02 #> 2554.4 2554.5 2572 #> 1.962943e-02 1.877131e-04 1.308629e-04 #> 2598 2611.1 2611.2 #> 1.877131e-04 1.962943e-02 1.962943e-02 #> 2611.3 2615 2617.1 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2617.2 2617.3 2622.1 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2622.2 2622.3 2624 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2628 2631 2634 #> 1.962943e-02 1.795071e-06 1.308629e-04 #> 2641.1 2641.2 2642 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2643 2644 2644.1 #> 1.877131e-04 1.962943e-02 1.962943e-02 #> 2644.2 2644.3 2647 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2647.1 2647.2 2648 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2649 2649.1 4239 #> 3.271572e-03 1.962943e-02 1.962943e-02 #> 4240 4347 4349 #> 1.962943e-02 1.795071e-06 1.673328e-04 #> 4351 4352 4353 #> 3.271572e-03 3.271572e-03 3.271572e-03 #> 4354 4355 4358 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 4359 4361 4362 #> 1.877131e-04 1.877131e-04 1.962943e-02 #> 4364 4367 4375 #> 1.877131e-04 3.128552e-05 3.271572e-03 #> 4377 4378 4379 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 4380 4382 4383 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 4396 4400.1 WA12-030403 #> 1.877131e-04 3.128552e-05 1.269976e-02 #> WA12-1-101403 WA12-1-111003 WA12-112403 #> 1.269976e-02 1.269976e-02 1.269976e-02 #> WA12-2-031803 WA12-2-111003 WA12-3-091603 #> 1.269976e-02 1.269976e-02 1.269976e-02 #> WA12-3-111003 WA12-4-081803 WA15-1-031803 #> 1.269976e-02 1.269976e-02 1.161367e-06 #> WA15-3-080403 WA1-7-031803 WA4-4-031803 #> 5.474034e-03 2.116626e-03 1.269976e-02 #> WA9.1-030403 WA9-081803 = 1712 2234 #> 2.024096e-05 1.214458e-04 7.180284e-08 #> 2222.12 2294 2452 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2486 2561 2562 #> 1.962943e-02 7.851772e-04 7.851772e-04 #> 2595 2849 2850 #> 1.962943e-02 1.962943e-02 1.877131e-04 #> 2851 2965.2 2976 #> 1.962943e-02 1.877131e-04 1.962943e-02 #> 2985 2987 2988 #> 1.962943e-02 1.962943e-02 1.877131e-04 #> 4542 9004 9013 #> 1.962943e-02 1.962943e-02 1.877131e-04 #> 9022 9023 9032 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 9034 9038 WA1.2BA15-030104 #> 1.877131e-04 1.962943e-02 1.214458e-04 #> WA1-011304 WA1-032204 WA12-011304 #> 1.269976e-02 1.214458e-04 1.269976e-02 #> WA12-012604 WA12-040504 WA12-051704 #> 1.269976e-02 1.269976e-02 2.116626e-03 #> WA12-2-032204 WA16-011304 WA27-040504 #> 1.214458e-04 1.269976e-02 1.269976e-02 #> WA27-071904 WA9-020904 4384 #> 1.269976e-02 1.269976e-02 1.795071e-06 #> WA27-040205 9488 11075 #> 1.269976e-02 6.392045e-03 1.420455e-03 #> 10490.1 10490.2 10490.3 #> 1.041667e-02 1.041667e-02 1.041667e-02 #> 10490.4 10491.1 10491.2 #> 1.041667e-02 2.083333e-02 2.083333e-02 #> 10491.3 10492.1 10492.2 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 10492.3 10492.4 10492.5 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 10492.6 10493 10496.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 10496.2 10496.3 10497.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 10497.2 10497.3 11745.1 #> 6.313131e-04 2.083333e-02 2.083333e-02 #> 11745.2 11745.3 11761.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11761.2 11761.3 11761.4 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11761.5 11762.1 11762.2 #> 6.313131e-04 2.083333e-02 2.083333e-02 #> 11762.3 11803.1 11803.2 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11803.3 11805.1 11805.2 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11805.3 11806 11807.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11807.2 11807.3 11808.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11808.2 11808.3 11810.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11810.2 11810.3 11812.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11812.2 11812.3 11819.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11819.2 11819.3 11819.4 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11819.5 11819.6 11855.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11855.2 11913.1 11913.2 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11913.3 11914.1 11914.2 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11914.3 11349 11372 #> 2.083333e-02 7.520053e-04 1.671123e-04 #> 11798x7535 11799x7517 10794-V5 #> 1.041667e-02 2.083333e-02 3.240741e-04 #> 11466-V2 11466-V5 11540-V3 #> 8.847122e-05 8.847122e-05 3.240741e-03 #> 11160 11955 13150 #> 2.083333e-02 2.083333e-02 1.041667e-02 #> 13153.1 13153.2 13155 #> 4.861111e-03 4.861111e-03 2.083333e-02 #> 13184 13185 13205 #> 2.083333e-02 1.190476e-03 2.083333e-02 #> 13206 13207 13228 #> 2.083333e-02 1.041667e-02 1.041667e-02 #> 13154 11956 13226 #> 2.083333e-02 2.083333e-02 1.041667e-02 #> 13227 2043_1 2138_1 #> 1.041667e-02 1.962943e-02 1.962943e-02 #> 2157_3 11001 13592 #> 1.877131e-04 9.722222e-04 4.861111e-03 #> WA12S-091713 13746-9105 13766-9120 #> 1.673328e-04 4.166667e-03 1.877131e-04 #> 13767-9121 13773-9138 13774-9174 #> 1.877131e-04 1.962943e-02 1.041141e-06 #> 13778-9175 13780-9139 13781-9123 #> 3.128552e-05 1.962943e-02 1.673328e-04 #> 13782-9140 13785-9142 13786-9143 #> 1.962943e-02 4.629630e-04 4.629630e-04 #> 13787-9144 13788-9145 13789-9146 #> 4.629630e-04 2.558480e-04 4.861111e-03 #> 13790-9147 13835 13844-9176 #> 2.558480e-04 3.086420e-04 1.543210e-04 #> 13845-9124 13846-9108 13847-9109 #> 4.861111e-03 3.240741e-03 2.558480e-04 #> 13849-9110 13850-9111 13859-9112 #> 2.083333e-02 3.125000e-02 2.083333e-02 #> 13860-9148 13861-9113 13862-9114 #> 2.083333e-02 1.190476e-03 1.190476e-03 #> 13863-9115 13867-9117 13870-9149 #> 2.083333e-02 5.208333e-03 1.877131e-04 #> 13875-9132 13878-9151 13879-9152 #> 1.877131e-04 4.861111e-03 4.050926e-03 #> 13881-9153 13883-9133 13885-9177 #> 4.873294e-06 7.716049e-05 3.240741e-04 #> 13886-9154 13887-9202 13888 #> 1.620370e-03 3.240741e-04 5.692535e-03 #> 13889-9161 13891-9162 13893-9178 #> 3.271572e-03 9.722222e-04 2.430556e-03 #> 13895-9155 13900-9156 13902-9157 #> 4.861111e-03 4.861111e-03 7.520053e-04 #> 13903-9179 13904-9180 13905-9181 #> 1.138507e-02 1.410160e-03 7.520053e-04 #> 13906-9163 13908-9164 13909-9158 #> 7.520053e-04 7.520053e-04 1.877131e-04 #> 13916 13917-9182 13918-9203 #> 2.430556e-03 4.861111e-03 4.861111e-03 #> 13919-9183 13920-9159 13927-9185 #> 4.861111e-03 4.861111e-03 1.041667e-02 #> 13928-9186 13929-9187 13930-A-9188 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 13930-B 13932-9189 13933-9190 #> 2.083333e-02 4.861111e-03 1.620370e-03 #> 13934 13942-9194 13945 #> 7.812500e-03 1.388889e-04 3.086420e-04 #> 13951-9195 13952-9196 13954-9197 #> 1.785714e-03 2.083333e-02 1.190476e-03 #> 13955-9198 13957-9199 13958-9200 #> 1.190476e-03 2.083333e-02 1.785714e-03 #> 13959-9206 13960-9207 14001-9208 #> 3.125000e-02 3.125000e-02 3.240741e-03 #> 14002 14003-9209 14004 #> 4.861111e-03 2.916667e-03 9.722222e-04 #> 14005 14006-9210 14007-9211 #> 1.620370e-03 1.620370e-03 1.620370e-03 #> 14008-9212 14023 14024 #> 1.620370e-03 1.041667e-02 1.785714e-03 #> 14028 14033 14035 #> 2.083333e-02 9.259259e-05 3.086420e-04 #> 14036 14056 13872-9150 #> 9.259259e-05 2.916667e-03 1.962943e-02 #> 13893 13931-9204 13600 #> 4.861111e-03 2.430556e-03 3.271572e-03 #> 13632 13635 13655 #> 1.671123e-04 4.166667e-03 2.558480e-04 #> 13661 13662 13663 #> 4.861111e-03 3.240741e-03 1.535088e-04 #> 13690 13692 13694 #> 4.873294e-06 4.629630e-05 9.722222e-04 #> 13695 13698 13699 #> 5.116959e-05 6.481481e-04 4.861111e-03 #> 13711 13716 13735 #> 9.259259e-05 1.535088e-04 4.861111e-03 #> 13737 13738 13739 #> 1.620370e-03 3.240741e-03 3.240741e-03 #> 13744 13747 13748 #> 3.240741e-03 4.166667e-03 4.166667e-03 #> 13749 13751 13753 #> 2.083333e-03 4.166667e-03 4.166667e-03 #> H-2-040113 13801 13802 #> 1.671123e-04 5.116959e-05 1.620370e-03 #> 13805 13824 13825 #> 5.116959e-05 4.166667e-03 1.877131e-04 #> 13826 13827 13828 #> 1.795071e-06 1.877131e-04 4.166667e-03 #> 13830 13831 13832 #> 1.962943e-02 8.847122e-05 4.166667e-03 #> 13837 13838 13839 #> 4.166667e-03 4.166667e-03 4.166667e-03 #> 13840 13841 13842 #> 5.208333e-04 4.166667e-03 7.520053e-04 #> 2157-3 11001-8874 2027-1 #> 1.877131e-04 9.722222e-04 1.962943e-02 #> 2138-1 13873 14040 #> 1.962943e-02 1.877131e-04 4.873294e-06 #> 14041 14042 14043 #> 9.259259e-05 1.624431e-06 9.259259e-05 #> 14044 14046 14047 #> 1.543210e-04 4.861111e-03 7.520053e-04 #> 14049 14077 14078 #> 1.620370e-03 8.847122e-05 8.847122e-05 #> 14079 14080 14081 #> 8.847122e-05 8.847122e-05 8.847122e-05 #> 14082 14083 14085 #> 8.847122e-05 8.847122e-05 2.916667e-03 #> 14092 14093 14107 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 14108 14112 14113 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 14114 14115 14116 #> 2.558480e-04 3.240741e-03 2.314815e-04 #> 14119 14120 14121 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 14122 14123 14131 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 14132 14045-a 14045-b #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 13971 13977 14129 #> 7.520053e-04 1.620370e-03 1.420455e-03 #> 14135 14136 14137.1 #> 1.420455e-03 8.847122e-05 8.847122e-05 #> 14138 14139 14141 #> 2.893519e-03 8.847122e-05 4.861111e-03 #> 14142 14145 14149 #> 1.944444e-03 5.208333e-04 4.861111e-03 #> 14151 14152 14153 #> 7.520053e-04 7.520053e-04 7.520053e-04 #> 14156 14159 14160 #> 1.620370e-03 2.916667e-03 7.520053e-04 #> 14161 14162 14164 #> 1.877131e-04 7.520053e-04 6.392045e-03 #> 14165 14167 14168 #> 2.916667e-03 1.620370e-03 4.861111e-03 #> 14169 14171 14172 #> 2.558480e-04 4.861111e-03 1.279240e-04 #> 14174 14175 WA84-121613 #> 1.795071e-06 9.259259e-05 4.861111e-03
# You can also take the product of the non-logged results: apply(pgen(Pram, log = FALSE), 1, prod, na.rm = TRUE)
#> 1411152-10B 82 83 #> 2.083333e-03 4.861111e-03 4.310345e-05 #> 84 85 81-NM-1 #> 2.011494e-04 9.722222e-03 4.861111e-03 #> 06-1413-1 07-83-7-A ODA-06-1029-82B #> 4.185268e-03 4.715795e-04 4.185268e-03 #> ODA-06-1029-82C ODA-06-1029-109A ODA-06-1029-109B #> 4.185268e-03 4.185268e-03 4.185268e-03 #> 118-28-A 08-206-44-B 08-206-44-D #> 4.185268e-04 1.395089e-03 1.395089e-03 #> 08-206-44-E 351-5-A 351-5-C #> 1.395089e-03 1.771191e-05 1.771191e-05 #> 351-5-D 351-5-E 04-76-C #> 1.771191e-05 1.771191e-05 5.580357e-04 #> 04-335-2A 04-189-B4 03-74-N10A-B #> 4.185268e-03 8.370536e-04 8.370536e-04 #> 05-2033-72 05-2033-73 05-2086-12 #> 4.715795e-04 4.715795e-04 1.395089e-03 #> 05-2086-20 05-2086-31 05-2086-34 #> 4.715795e-04 1.571932e-04 1.395089e-03 #> 05-2088-3 06-30 06-81-2 #> 4.185268e-03 4.185268e-03 1.395089e-03 #> 06-1036-71B 06-1036-71C 06-1029-122D #> 4.185268e-03 4.185268e-03 4.185268e-03 #> 06-1029-122C 06-1029-122A 06-1029-98C #> 4.185268e-04 4.185268e-04 1.771191e-05 #> 06-1027-90 1369017-9 1352535-6 #> 4.185268e-03 4.861111e-03 4.861111e-03 #> 1343990-17 1344272-8 1411152-10A #> 1.005747e-04 4.861111e-03 2.083333e-03 #> 1341321-16 1418983-2 1402871-B #> 4.161712e-06 1.041667e-03 2.011494e-04 #> 1373915-5 1343990-10 1360295-17 #> 2.011494e-04 4.861111e-03 2.011494e-04 #> 1341321-32 1339849-3 1339849-5 #> 2.011494e-04 4.861111e-03 4.861111e-03 #> 1339849-6 1339849-7 1339849-8 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 1339849-10 1339849-12 1339849-13 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 1339849-15 1339849-16 1339849-17 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 1429425 07-83-7-B 07-83-37-D #> 4.861111e-03 1.395089e-03 4.185268e-03 #> 07-83-38-B 07-83-38-D 1370431-1 #> 4.185268e-03 4.185268e-04 9.722222e-03 #> 1370431-2 1370431-3 1370431-4 #> 9.722222e-03 2.011494e-04 2.011494e-04 #> 1370431-5 1428631-1 04-278-3 #> 9.722222e-03 1.005747e-04 4.185268e-03 #> 04-335-2B 04-335-2C 1314176-9 #> 4.185268e-03 3.143863e-05 4.861111e-03 #> 1314176-13 1387968 1418886 #> 4.861111e-03 1.005747e-04 2.011494e-04 #> 04-83D Phytr-06-4 Phytr-0-217 #> 5.580357e-04 2.430556e-03 4.861111e-03 #> NOR1.2 MCK1.1 MCK1.2 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 4123.100000000000364 07-1161-1C 07-1161-1E #> 1.571932e-04 8.370536e-03 4.185268e-03 #> 07-1161-4A 07-1161-4B 07-1161-3-1 #> 4.185268e-03 1.395089e-03 4.185268e-03 #> 07-1161-3-2 07-1161-3-3 07-1161-5A #> 4.185268e-03 4.185268e-03 1.395089e-03 #> 07-1161-5D 1314070-20 07-1240-1 #> 1.395089e-03 4.861111e-03 4.185268e-03 #> 08-15-1 08-16-1 1368791-19 #> 4.185268e-03 4.185268e-03 2.083333e-03 #> 1368791-21 1429891-1 1429891-2 #> 1.041667e-03 2.083333e-03 8.620690e-05 #> 1429891-3 1429891-4 1429891-6 #> 4.861111e-03 2.083333e-03 2.083333e-03 #> 1429891-7 1429891-10 1429891-11 #> 2.083333e-03 2.083333e-03 2.083333e-03 #> 1437044-28 1454471-29 1454471-31 #> 8.620690e-05 1.783591e-06 1.783591e-06 #> 1309326-1 1480397 1368791-2 #> 4.861111e-03 2.083333e-03 1.005747e-04 #> 1281744-1 1281744-3 1281744-5 #> 2.083333e-03 2.083333e-03 1.041667e-03 #> 1281744-6 1281744-7 1281744-9 #> 2.083333e-03 8.620690e-05 4.166667e-03 #> 1281744-10 1281744-15 1281744-16 #> 2.083333e-03 2.083333e-03 4.166667e-03 #> 1281744-21 1454527-12 1480844-4 #> 2.083333e-03 4.861111e-03 4.861111e-03 #> 1480844-5 1480844-8 1480844-10 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 1281744-4 1480841-6 1281789-1 #> 2.083333e-03 2.083333e-03 2.083333e-03 #> 1281789-2 1431833-31 1431833-32 #> 2.083333e-03 4.861111e-03 4.861111e-03 #> 1431833-39 1309305-21 118-28-B #> 4.861111e-03 2.011494e-04 4.185268e-03 #> 118-28-E 134-19-E 134-20-E #> 4.185268e-04 8.370536e-03 4.185268e-03 #> Pr 519- LTR1.2 Pr 520- MCK1.1 09-133-4 ODA #> 9.722222e-03 4.861111e-03 1.395089e-03 #> SOD OR 10-59-3-A SOD OR 10-59-3-D SOD OR 10-59-3-E #> 4.185268e-03 4.185268e-03 4.185268e-03 #> SOD OR 10-59-3-F SOD OR 10-59-3-H Pr 731 #> 4.185268e-03 4.185268e-03 5.208333e-04 #> Pr 732 Pr 733 Pr 734 #> 5.208333e-04 1.215278e-03 1.215278e-03 #> Pr 735 1441558-37 1441558-39 #> 1.215278e-03 4.861111e-03 9.722222e-03 #> 1469925-55 1538371-8 1560692-17 #> 1.783591e-06 9.722222e-03 1.340996e-04 #> 1623730-36 1623827-6 1631078-10 #> 9.722222e-03 9.722222e-03 4.861111e-03 #> 1631078-12 #4177 Blomquist back up 1631081-1 #> 9.722222e-03 4.861111e-03 4.861111e-03 #> 1631081-2 1631081-3 1631081-15 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 1631081-17 1631081-22 1644850-1 #> 9.722222e-03 4.861111e-03 9.722222e-03 #> 1644850-2 1644850-4 1644850-5 #> 9.722222e-03 9.722222e-03 9.722222e-03 #> 1644850-6 1644850-7 1644850-8 #> 9.722222e-03 4.861111e-03 9.722222e-03 #> 1644856-18 1644856-35 1341878-7 #> 9.722222e-03 9.722222e-03 8.620690e-05 #> 1341878-49 1365048 1496607 #> 2.083333e-03 2.011494e-04 2.011494e-04 #> 1560191-36 1583329-B 1583329-C #> 4.161712e-06 2.011494e-04 4.861111e-03 #> 1596853 1596854 1621925-9 #> 9.722222e-03 8.620690e-05 9.722222e-03 #> 1621925-11 1621926-8 1626660-3 #> 9.722222e-03 9.722222e-03 9.722222e-03 #> 1625769 1626651-10 1626656-1 #> 2.011494e-04 9.722222e-03 9.722222e-03 #> 1644994-2 PC#11-1366 ODA 81-8 #> 9.722222e-03 4.861111e-03 1.771191e-05 #> ODA 81-9 ODA 81-37 ODA 114-6 #> 1.771191e-05 1.771191e-05 1.771191e-05 #> 120187 120189 120231 #> 3.143863e-05 4.861111e-03 2.011494e-04 #> 1404252-18 1497058-26 1644623-8 #> 2.011494e-04 8.620690e-05 2.011494e-04 #> 1644623-26 230P06005897-8 230P06005897-9 #> 4.161712e-06 2.011494e-04 2.011494e-04 #> 230P06005898-20 230P06005898-21 10998-V2 #> 2.011494e-04 2.011494e-04 1.571932e-05 #> 1004.1 1008.1 1019.1 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 1021.1 1030.1 1031.1 #> 3.128552e-05 1.962943e-02 1.962943e-02 #> 1032.1 1033.1 1041 #> 1.962943e-02 1.877131e-04 1.962943e-02 #> 1044 1055 2029.1 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2043.1 2091.1 2092 #> 1.962943e-02 1.962943e-02 1.673328e-04 #> 2096 2099.1 2108.1 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2108.2 2110.4 4088.1 #> 1.877131e-04 1.962943e-02 3.271572e-03 #> 4089.1 4120 4122.4 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 4131 4143.1 4144.1 #> 1.962943e-02 3.271572e-03 1.962943e-02 #> 4146.1 4154 4158.2 #> 1.962943e-02 3.128552e-05 1.962943e-02 #> 4167.1 4168.2 4169.1 #> 1.877131e-04 1.877131e-04 1.962943e-02 #> 4172.2 4173.2 5013.1 #> 1.962943e-02 3.271572e-03 1.962943e-02 #> 5019 1020.1 2018.1 #> 1.962943e-02 1.138507e-02 1.962943e-02 #> 2148.1 2153.3 2157.3 #> 1.962943e-02 1.962943e-02 1.877131e-04 #> 2176 2178 2179 #> 1.962943e-02 1.962943e-02 1.877131e-04 #> 2180 2181 2183 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2184 2190 2192 #> 1.962943e-02 1.962943e-02 1.877131e-04 #> 2193 2194 2195 #> 1.962943e-02 1.795071e-06 1.962943e-02 #> 2206 2220 4215 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 4242 4251.1 4252.1 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 4280 4297 4301.1 #> 1.877131e-04 1.877131e-04 1.877131e-04 #> 4318.1 4320.1 5410 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 5448.1 5449.1 5450 #> 1.962943e-02 1.673328e-04 1.962943e-02 #> 5451 5464 5467 #> 1.877131e-04 1.962943e-02 1.795071e-06 #> WA12-101402 WA9-111302 2027 #> 1.269976e-02 2.024096e-05 1.600177e-06 #> 1105 2222 2234.1 #> 1.962943e-02 1.962943e-02 3.271572e-03 #> 2234.2 2235.1 2235.2 #> 3.128552e-05 3.271572e-03 1.877131e-04 #> 2236 2236.10 2236.6 #> 1.877131e-04 1.962943e-02 1.962943e-02 #> 2236.7 2243.1 2243.3 #> 1.962943e-02 1.877131e-04 1.962943e-02 #> 2243.5 2243.6 2243.8 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2271 2274 2295 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2336.1 2336.2 2336.3 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2336.4 2336.5 2340 #> 1.962943e-02 1.962943e-02 1.795071e-06 #> 2344 2402 2404.1 #> 1.962943e-02 3.271572e-03 1.962943e-02 #> 2424 2542 2552 #> 1.962943e-02 1.620370e-03 1.962943e-02 #> 2554.4 2554.5 2572 #> 1.962943e-02 1.877131e-04 1.308629e-04 #> 2598 2611.1 2611.2 #> 1.877131e-04 1.962943e-02 1.962943e-02 #> 2611.3 2615 2617.1 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2617.2 2617.3 2622.1 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2622.2 2622.3 2624 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2628 2631 2634 #> 1.962943e-02 1.795071e-06 1.308629e-04 #> 2641.1 2641.2 2642 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2643 2644 2644.1 #> 1.877131e-04 1.962943e-02 1.962943e-02 #> 2644.2 2644.3 2647 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2647.1 2647.2 2648 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2649 2649.1 4239 #> 3.271572e-03 1.962943e-02 1.962943e-02 #> 4240 4347 4349 #> 1.962943e-02 1.795071e-06 1.673328e-04 #> 4351 4352 4353 #> 3.271572e-03 3.271572e-03 3.271572e-03 #> 4354 4355 4358 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 4359 4361 4362 #> 1.877131e-04 1.877131e-04 1.962943e-02 #> 4364 4367 4375 #> 1.877131e-04 3.128552e-05 3.271572e-03 #> 4377 4378 4379 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 4380 4382 4383 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 4396 4400.1 WA12-030403 #> 1.877131e-04 3.128552e-05 1.269976e-02 #> WA12-1-101403 WA12-1-111003 WA12-112403 #> 1.269976e-02 1.269976e-02 1.269976e-02 #> WA12-2-031803 WA12-2-111003 WA12-3-091603 #> 1.269976e-02 1.269976e-02 1.269976e-02 #> WA12-3-111003 WA12-4-081803 WA15-1-031803 #> 1.269976e-02 1.269976e-02 1.161367e-06 #> WA15-3-080403 WA1-7-031803 WA4-4-031803 #> 5.474034e-03 2.116626e-03 1.269976e-02 #> WA9.1-030403 WA9-081803 = 1712 2234 #> 2.024096e-05 1.214458e-04 7.180284e-08 #> 2222.12 2294 2452 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 2486 2561 2562 #> 1.962943e-02 7.851772e-04 7.851772e-04 #> 2595 2849 2850 #> 1.962943e-02 1.962943e-02 1.877131e-04 #> 2851 2965.2 2976 #> 1.962943e-02 1.877131e-04 1.962943e-02 #> 2985 2987 2988 #> 1.962943e-02 1.962943e-02 1.877131e-04 #> 4542 9004 9013 #> 1.962943e-02 1.962943e-02 1.877131e-04 #> 9022 9023 9032 #> 1.962943e-02 1.962943e-02 1.962943e-02 #> 9034 9038 WA1.2BA15-030104 #> 1.877131e-04 1.962943e-02 1.214458e-04 #> WA1-011304 WA1-032204 WA12-011304 #> 1.269976e-02 1.214458e-04 1.269976e-02 #> WA12-012604 WA12-040504 WA12-051704 #> 1.269976e-02 1.269976e-02 2.116626e-03 #> WA12-2-032204 WA16-011304 WA27-040504 #> 1.214458e-04 1.269976e-02 1.269976e-02 #> WA27-071904 WA9-020904 4384 #> 1.269976e-02 1.269976e-02 1.795071e-06 #> WA27-040205 9488 11075 #> 1.269976e-02 6.392045e-03 1.420455e-03 #> 10490.1 10490.2 10490.3 #> 1.041667e-02 1.041667e-02 1.041667e-02 #> 10490.4 10491.1 10491.2 #> 1.041667e-02 2.083333e-02 2.083333e-02 #> 10491.3 10492.1 10492.2 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 10492.3 10492.4 10492.5 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 10492.6 10493 10496.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 10496.2 10496.3 10497.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 10497.2 10497.3 11745.1 #> 6.313131e-04 2.083333e-02 2.083333e-02 #> 11745.2 11745.3 11761.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11761.2 11761.3 11761.4 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11761.5 11762.1 11762.2 #> 6.313131e-04 2.083333e-02 2.083333e-02 #> 11762.3 11803.1 11803.2 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11803.3 11805.1 11805.2 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11805.3 11806 11807.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11807.2 11807.3 11808.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11808.2 11808.3 11810.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11810.2 11810.3 11812.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11812.2 11812.3 11819.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11819.2 11819.3 11819.4 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11819.5 11819.6 11855.1 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11855.2 11913.1 11913.2 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11913.3 11914.1 11914.2 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 11914.3 11349 11372 #> 2.083333e-02 7.520053e-04 1.671123e-04 #> 11798x7535 11799x7517 10794-V5 #> 1.041667e-02 2.083333e-02 3.240741e-04 #> 11466-V2 11466-V5 11540-V3 #> 8.847122e-05 8.847122e-05 3.240741e-03 #> 11160 11955 13150 #> 2.083333e-02 2.083333e-02 1.041667e-02 #> 13153.1 13153.2 13155 #> 4.861111e-03 4.861111e-03 2.083333e-02 #> 13184 13185 13205 #> 2.083333e-02 1.190476e-03 2.083333e-02 #> 13206 13207 13228 #> 2.083333e-02 1.041667e-02 1.041667e-02 #> 13154 11956 13226 #> 2.083333e-02 2.083333e-02 1.041667e-02 #> 13227 2043_1 2138_1 #> 1.041667e-02 1.962943e-02 1.962943e-02 #> 2157_3 11001 13592 #> 1.877131e-04 9.722222e-04 4.861111e-03 #> WA12S-091713 13746-9105 13766-9120 #> 1.673328e-04 4.166667e-03 1.877131e-04 #> 13767-9121 13773-9138 13774-9174 #> 1.877131e-04 1.962943e-02 1.041141e-06 #> 13778-9175 13780-9139 13781-9123 #> 3.128552e-05 1.962943e-02 1.673328e-04 #> 13782-9140 13785-9142 13786-9143 #> 1.962943e-02 4.629630e-04 4.629630e-04 #> 13787-9144 13788-9145 13789-9146 #> 4.629630e-04 2.558480e-04 4.861111e-03 #> 13790-9147 13835 13844-9176 #> 2.558480e-04 3.086420e-04 1.543210e-04 #> 13845-9124 13846-9108 13847-9109 #> 4.861111e-03 3.240741e-03 2.558480e-04 #> 13849-9110 13850-9111 13859-9112 #> 2.083333e-02 3.125000e-02 2.083333e-02 #> 13860-9148 13861-9113 13862-9114 #> 2.083333e-02 1.190476e-03 1.190476e-03 #> 13863-9115 13867-9117 13870-9149 #> 2.083333e-02 5.208333e-03 1.877131e-04 #> 13875-9132 13878-9151 13879-9152 #> 1.877131e-04 4.861111e-03 4.050926e-03 #> 13881-9153 13883-9133 13885-9177 #> 4.873294e-06 7.716049e-05 3.240741e-04 #> 13886-9154 13887-9202 13888 #> 1.620370e-03 3.240741e-04 5.692535e-03 #> 13889-9161 13891-9162 13893-9178 #> 3.271572e-03 9.722222e-04 2.430556e-03 #> 13895-9155 13900-9156 13902-9157 #> 4.861111e-03 4.861111e-03 7.520053e-04 #> 13903-9179 13904-9180 13905-9181 #> 1.138507e-02 1.410160e-03 7.520053e-04 #> 13906-9163 13908-9164 13909-9158 #> 7.520053e-04 7.520053e-04 1.877131e-04 #> 13916 13917-9182 13918-9203 #> 2.430556e-03 4.861111e-03 4.861111e-03 #> 13919-9183 13920-9159 13927-9185 #> 4.861111e-03 4.861111e-03 1.041667e-02 #> 13928-9186 13929-9187 13930-A-9188 #> 2.083333e-02 2.083333e-02 2.083333e-02 #> 13930-B 13932-9189 13933-9190 #> 2.083333e-02 4.861111e-03 1.620370e-03 #> 13934 13942-9194 13945 #> 7.812500e-03 1.388889e-04 3.086420e-04 #> 13951-9195 13952-9196 13954-9197 #> 1.785714e-03 2.083333e-02 1.190476e-03 #> 13955-9198 13957-9199 13958-9200 #> 1.190476e-03 2.083333e-02 1.785714e-03 #> 13959-9206 13960-9207 14001-9208 #> 3.125000e-02 3.125000e-02 3.240741e-03 #> 14002 14003-9209 14004 #> 4.861111e-03 2.916667e-03 9.722222e-04 #> 14005 14006-9210 14007-9211 #> 1.620370e-03 1.620370e-03 1.620370e-03 #> 14008-9212 14023 14024 #> 1.620370e-03 1.041667e-02 1.785714e-03 #> 14028 14033 14035 #> 2.083333e-02 9.259259e-05 3.086420e-04 #> 14036 14056 13872-9150 #> 9.259259e-05 2.916667e-03 1.962943e-02 #> 13893 13931-9204 13600 #> 4.861111e-03 2.430556e-03 3.271572e-03 #> 13632 13635 13655 #> 1.671123e-04 4.166667e-03 2.558480e-04 #> 13661 13662 13663 #> 4.861111e-03 3.240741e-03 1.535088e-04 #> 13690 13692 13694 #> 4.873294e-06 4.629630e-05 9.722222e-04 #> 13695 13698 13699 #> 5.116959e-05 6.481481e-04 4.861111e-03 #> 13711 13716 13735 #> 9.259259e-05 1.535088e-04 4.861111e-03 #> 13737 13738 13739 #> 1.620370e-03 3.240741e-03 3.240741e-03 #> 13744 13747 13748 #> 3.240741e-03 4.166667e-03 4.166667e-03 #> 13749 13751 13753 #> 2.083333e-03 4.166667e-03 4.166667e-03 #> H-2-040113 13801 13802 #> 1.671123e-04 5.116959e-05 1.620370e-03 #> 13805 13824 13825 #> 5.116959e-05 4.166667e-03 1.877131e-04 #> 13826 13827 13828 #> 1.795071e-06 1.877131e-04 4.166667e-03 #> 13830 13831 13832 #> 1.962943e-02 8.847122e-05 4.166667e-03 #> 13837 13838 13839 #> 4.166667e-03 4.166667e-03 4.166667e-03 #> 13840 13841 13842 #> 5.208333e-04 4.166667e-03 7.520053e-04 #> 2157-3 11001-8874 2027-1 #> 1.877131e-04 9.722222e-04 1.962943e-02 #> 2138-1 13873 14040 #> 1.962943e-02 1.877131e-04 4.873294e-06 #> 14041 14042 14043 #> 9.259259e-05 1.624431e-06 9.259259e-05 #> 14044 14046 14047 #> 1.543210e-04 4.861111e-03 7.520053e-04 #> 14049 14077 14078 #> 1.620370e-03 8.847122e-05 8.847122e-05 #> 14079 14080 14081 #> 8.847122e-05 8.847122e-05 8.847122e-05 #> 14082 14083 14085 #> 8.847122e-05 8.847122e-05 2.916667e-03 #> 14092 14093 14107 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 14108 14112 14113 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 14114 14115 14116 #> 2.558480e-04 3.240741e-03 2.314815e-04 #> 14119 14120 14121 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 14122 14123 14131 #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 14132 14045-a 14045-b #> 4.861111e-03 4.861111e-03 4.861111e-03 #> 13971 13977 14129 #> 7.520053e-04 1.620370e-03 1.420455e-03 #> 14135 14136 14137.1 #> 1.420455e-03 8.847122e-05 8.847122e-05 #> 14138 14139 14141 #> 2.893519e-03 8.847122e-05 4.861111e-03 #> 14142 14145 14149 #> 1.944444e-03 5.208333e-04 4.861111e-03 #> 14151 14152 14153 #> 7.520053e-04 7.520053e-04 7.520053e-04 #> 14156 14159 14160 #> 1.620370e-03 2.916667e-03 7.520053e-04 #> 14161 14162 14164 #> 1.877131e-04 7.520053e-04 6.392045e-03 #> 14165 14167 14168 #> 2.916667e-03 1.620370e-03 4.861111e-03 #> 14169 14171 14172 #> 2.558480e-04 4.861111e-03 1.279240e-04 #> 14174 14175 WA84-121613 #> 1.795071e-06 9.259259e-05 4.861111e-03
## Rare Allele Correction --------------------------------------------------- ## # If you don't supply a table of frequencies, they are calculated with rraf # with correction = TRUE. This is normally benign when analyzing large # populations, but it can have a great effect on small populations. To help # control this, you can supply arguments described in # help("rare_allele_correction"). # Default is to correct by 1/n per population. Since the calculation is # performed on a smaller sample size due to round robin clone correction, it # would be more appropriate to correct by 1/rrmlg at each locus. This is # acheived by setting d = "rrmlg". Since this is a diploid, we would want to # account for the number of chromosomes, and so we set mul = 1/2 head(pgen(Pram, log = FALSE, d = "rrmlg", mul = 1/2)) # compare with the output above
#> PrMS6A1 Pr9C3A1 PrMS39A1 PrMS45A1 PrMS43A1 #> 1411152-10B 0.5 0.5 0.15 0.5 0.11111111 #> 82 0.5 0.5 0.35 0.5 0.11111111 #> 83 0.5 0.5 0.15 0.5 0.05555556 #> 84 0.5 0.5 0.35 0.5 0.11111111 #> 85 0.5 0.5 0.35 0.5 0.22222222 #> 81-NM-1 0.5 0.5 0.35 0.5 0.11111111
# If you wanted to treat all alleles as equally rare, then you would set a # specific value (let's say the rare alleles are 1/100): head(pgen(Pram, log = FALSE, e = 1/100))
#> PrMS6A1 Pr9C3A1 PrMS39A1 PrMS45A1 PrMS43A1 #> 1411152-10B 0.5 0.5 0.15 0.5 0.111111111 #> 82 0.5 0.5 0.35 0.5 0.111111111 #> 83 0.5 0.5 0.15 0.5 0.003333333 #> 84 0.5 0.5 0.35 0.5 0.006666667 #> 85 0.5 0.5 0.35 0.5 0.222222222 #> 81-NM-1 0.5 0.5 0.35 0.5 0.111111111
# }