OmicsReg or OmicsReg Objectget_set_OmicsRegCateg.Rd"Get" or "Set" the values of the response_num or
response_fact slots of an object of class OmicsReg or
OmicsReg, respectively.
getResponse(object, ...) getResponse(object) <- value # S4 method for OmicsPathway getResponse(object, ...) # S4 method for OmicsPathway getResponse(object) <- value
| object | An object of class |
|---|---|
| ... | Dots for additional internal arguments (currently unused). |
| value | The replacement object to be assigned to the |
The "get" functions return the objects in the slots specified:
getResponse returns the response_num vector from objects of
class OmicsReg and the response_fact vector from objects of
class OmicsCateg. These functions can extract these values from
any valid object of those classes.
The "set" functions enable the user to edit or replace the object in the
response_num slot for any OmicsReg object or
response_fact slot for any OmicsCateg object, provided that
the new values do not violate the validity check of such an object. See
"Details" for more information.
These functions can be useful to set or extract the response vector
from an object of class OmicsReg or OmicsReg. However, we
recommend that users simply create a new, valid object instead of
modifying an existing one. The validity of edited objects is checked with
their respective ValidOmicsCateg or
ValidOmicsReg function. Because both classes have a
response slot, we set this method for the parent class,
OmicsPathway-class.
data("colonSurv_df") data("colon_pathwayCollection") colon_Omics <- CreateOmics( assayData_df = colonSurv_df[, -(2:3)], pathwayCollection_ls = colon_pathwayCollection, response = colonSurv_df[, c(1, 2)], respType = "reg" )#> #>#>#>#> #> #>#> #> #>getResponse(colon_Omics)#> [1] 64.8657534 59.7698630 62.4000000 54.5095890 46.2904110 55.8575343 #> [7] 57.9616438 54.0493151 0.4273973 41.4246575 40.7342466 68.0547945 #> [13] 21.6328767 33.1068493 68.6136986 49.4465753 64.1753425 58.2575342 #> [19] 53.2602740 63.9123288 60.0328767 60.0328767 60.5589041 57.0739726 #> [25] 54.7397260 48.2630137 57.2383562 70.4547945 7.8246575 50.1369863 #> [31] 46.9808219 46.4547945 40.6684932 13.8410959 111.4849315 52.1095890 #> [37] 54.1808219 50.2027397 1.5452055 17.6547945 12.6575342 6.9041096 #> [43] 32.5150685 16.1424657 69.1726027 70.8493151 74.3013699 76.7671233 #> [49] 23.4082192 36.0000000 5.2273973 8.1534247 3.6164384 30.8383562 #> [55] 40.9972603 142.5500000 122.7200000 68.5100000 123.5800000 28.9600000 #> [61] 119.2100000 59.5300000 68.8100000 82.2900000 110.8200000 65.8800000 #> [67] 84.1300000 85.4400000 64.3700000 16.4700000 89.7500000 66.5700000 #> [73] 76.0700000 67.8200000 52.2400000 64.1000000 55.1300000 57.7900000 #> [79] 50.1000000 43.7900000 30.2700000 3.6400000 36.5900000 20.0200000 #> [85] 118.5800000 55.3300000 134.8600000 127.2900000 13.3800000 120.6200000 #> [91] 106.9400000 18.2100000 11.7000000 111.6400000 28.7900000 26.8200000 #> [97] 52.5000000 24.0300000 88.9900000 102.4400000 33.7300000 85.2800000 #> [103] 26.5300000 37.3100000 86.4300000 55.9200000 70.6500000 76.0400000 #> [109] 79.1300000 58.0200000 83.9900000 80.2500000 40.6000000 95.3700000 #> [115] 31.0600000 37.3100000 22.0200000 63.2500000 34.0900000 52.1400000 #> [121] 66.0400000 59.9600000 47.8600000 58.4500000 45.9900000 60.4200000 #> [127] 37.6700000 15.7100000 39.2500000 49.8700000 25.2400000 44.9700000 #> [133] 35.9000000 26.6600000 36.7800000 41.5200000 22.2200000 33.2000000 #> [139] 39.6800000 25.6100000 83.9900000 15.0500000 8.3800000 18.1800000 #> [145] 27.1500000 24.2600000 105.1700000 11.7600000 70.4500000 95.0700000 #> [151] 112.3300000 27.5100000 45.9200000 54.0400000 49.8700000 103.9800000 #> [157] 6.1100000 8.0500000 99.5100000 20.4400000 34.9800000 76.6000000 #> [163] 10.0200000 41.4500000 96.2600000 85.6100000 78.8700000 22.2500000 #> [169] 74.5300000 59.0700000 47.8000000 5.6800000 45.8300000 74.3600000 #> [175] 79.3900000 74.0700000 50.7600000 67.8200000 70.8400000 50.5900000 #> [181] 34.5800000 38.7200000 54.9000000 53.6800000 67.9200000 58.4500000 #> [187] 59.3400000 54.5400000 19.0300000 26.2600000 52.8600000 32.0500000 #> [193] 55.9500000 56.6700000 50.4300000 4.2400000 49.1100000 49.5700000 #> [199] 50.4900000 63.0500000 49.2400000 0.9200000 31.3600000 40.3000000 #> [205] 116.6400000 31.9200000 19.9800000 24.6200000 18.5400000 130.7500000 #> [211] 17.6200000 5.3200000 2.3600000 5.7200000 15.2800000 34.4500000 #> [217] 95.0700000 4.9600000 28.8900000 3.2500000 0.9200000 18.7700000 #> [223] 57.7300000 13.4700000 14.3900000 5.1200000 4.9900000 33.1700000 #> [229] 34.8400000 50.5300000 5.7200000 8.0200000 34.0200000 1.4400000 #> [235] 36.9500000 60.7500000 37.4400000 23.0700000 19.8500000 31.8500000 #> [241] 8.6100000 42.2700000 15.2500000 14.5600000 9.9600000 8.9400000 #> [247] 32.6700000 2.0700000 22.7800000 22.3500000