This function can be used to create balanced splits of the
protein intensity data in a model_df object to create training and test data
Arguments
- model_df
A
model_dfobject from performingpre_process.- train_size
The size of the training data set as a proportion of the complete data set. Default is 0.8.
- seed
Numerical. Random number seed. Default is
NULL
Details
This function splits the model_df object in to training and
test data sets using random sampling while preserving the original
class distribution of the data. Make sure to fix the random number seed with
seed for reproducibility
Examples
## Create a model_df object
covid_model_df <- pre_process(covid_fit_df, covid_norm_df)
#> Total number of differentially expressed proteins (8) is less than n_top.
#> None of the proteins show high pair-wise correlation.
#>
#> No highly correlated proteins to be removed.
## Split the data frame into training and test data sets using default settings
covid_split_df1 <- split_data(covid_model_df, seed = 8314)
## Split the data frame into training and test data sets with 70% of the
## data in training and 30% in test data sets
covid_split_df2 <- split_data(covid_model_df, train_size = 0.7, seed = 8314)
## Access training data set
covid_split_df1$training
#> sp|O00391|QSOX1_HUMAN sp|P00746|CFAD_HUMAN sp|P02652|APOA2_HUMAN
#> 1 22.40059 24.73720 28.66292
#> 2 19.97970 26.80882 30.67527
#> 3 21.12426 22.82051 30.16657
#> 4 20.21675 27.64256 30.67527
#> 5 20.92041 25.60917 31.48626
#> 6 23.37177 22.71174 27.64256
#> 7 22.27765 26.38049 29.94831
#> 8 21.56619 24.97819 30.51976
#> 9 24.73720 23.57248 30.00715
#> 10 22.10170 23.73261 28.73758
#> 11 22.30244 23.87346 29.41927
#> 12 23.73261 26.60611 28.51444
#> 13 22.62693 21.62540 29.33404
#> 14 21.78974 24.47092 29.49655
#> 15 23.15140 24.32863 27.82097
#> 16 19.37365 24.06332 29.41927
#> 17 21.81120 22.19998 27.76262
#> 18 20.49465 25.23133 30.58588
#> 19 20.80441 24.32863 28.14984
#> 20 19.02912 24.32863 30.58588
#> 21 22.11671 24.42514 28.42881
#> 22 22.11671 25.32291 30.00715
#> 23 22.19998 24.79335 31.38459
#> 24 20.99572 25.73887 31.68780
#> 25 22.34632 25.78791 30.44035
#> 26 21.07625 26.97260 29.41927
#> 27 22.11671 23.62285 29.33404
#> 28 22.36332 25.50697 30.16657
#> 29 20.17148 25.45922 31.38459
#> sp|P02765|FETUA_HUMAN sp|P13796|PLSL_HUMAN sp|P22352|GPX3_HUMAN
#> 1 30.67527 22.57517 23.96220
#> 2 32.70218 17.63880 22.86492
#> 3 29.19797 25.13590 23.92030
#> 4 31.68780 18.80999 21.43144
#> 5 31.96064 19.37365 23.31727
#> 6 28.84603 26.09616 25.73887
#> 7 31.08519 21.74014 23.26651
#> 8 30.73758 19.02912 23.82412
#> 9 30.07485 23.31727 25.55824
#> 10 28.84603 21.90714 24.32863
#> 11 30.73758 19.22486 24.37980
#> 12 30.58588 22.86492 22.95628
#> 13 30.35700 23.77481 25.45922
#> 14 31.68780 19.97970 23.52849
#> 15 29.65531 25.83668 24.47092
#> 16 31.48626 20.59215 21.90714
#> 17 29.03320 24.61318 24.94399
#> 18 31.96064 20.54634 23.38986
#> 19 30.44035 24.16344 22.71174
#> 20 31.08519 20.17148 19.37365
#> 21 30.35700 20.80441 24.32863
#> 22 31.59221 21.12426 23.92030
#> 23 32.17057 21.66673 22.38032
#> 24 31.96064 20.99572 23.31727
#> 25 30.26855 15.86089 23.35368
#> 26 30.87044 22.30244 20.54634
#> 27 30.87044 22.57517 24.20810
#> 28 30.87044 20.08515 22.08669
#> 29 31.28625 20.87460 23.62285
#> sp|P25311|ZA2G_HUMAN sp|Q16610|ECM1_HUMAN condition
#> 1 27.70882 25.18199 Severe
#> 2 25.23133 27.22918 Non.Severe
#> 3 27.87499 24.97819 Severe
#> 4 24.84503 28.42881 Non.Severe
#> 5 26.49553 27.08827 Severe
#> 6 28.51444 23.87346 Severe
#> 7 25.93514 26.60611 Non.Severe
#> 8 26.04292 26.19652 Non.Severe
#> 9 27.03502 26.74563 Severe
#> 10 25.69315 24.24620 Severe
#> 11 26.54609 26.04292 Severe
#> 12 27.43537 26.04292 Severe
#> 13 26.49553 25.02850 Severe
#> 14 24.79335 27.39454 Severe
#> 15 28.51444 24.84503 Severe
#> 16 24.94399 26.29915 Non.Severe
#> 17 27.22918 24.79335 Severe
#> 18 25.98335 26.97260 Non.Severe
#> 19 27.03502 26.60611 Severe
#> 20 25.32291 25.78791 Non.Severe
#> 21 26.34214 26.13770 Severe
#> 22 26.92763 26.74563 Severe
#> 23 24.56294 27.76262 Non.Severe
#> 24 25.50697 27.33912 Non.Severe
#> 25 26.43611 27.12807 Non.Severe
#> 26 27.18300 27.54357 Non.Severe
#> 27 25.88645 25.23133 Non.Severe
#> 28 26.04292 27.48114 Non.Severe
#> 29 26.19652 26.65823 Non.Severe
## Access test data set
covid_split_df1$test
#> sp|O00391|QSOX1_HUMAN sp|P00746|CFAD_HUMAN sp|P02652|APOA2_HUMAN
#> 1 21.28517 25.93514 31.68780
#> 2 21.46057 25.45922 29.41927
#> 3 21.81120 25.36447 29.94831
#> 4 22.88773 23.67558 28.84603
#> 5 20.72842 26.09616 30.73758
#> 6 22.01501 24.84503 29.25736
#> sp|P02765|FETUA_HUMAN sp|P13796|PLSL_HUMAN sp|P22352|GPX3_HUMAN
#> 1 31.79321 18.19499 24.32863
#> 2 30.16657 21.07625 22.95628
#> 3 30.96996 19.37365 22.98936
#> 4 29.33404 23.20021 25.93514
#> 5 32.09807 21.35759 21.19299
#> 6 29.71094 19.86997 24.61318
#> sp|P25311|ZA2G_HUMAN sp|Q16610|ECM1_HUMAN condition
#> 1 25.78791 26.65823 Non.Severe
#> 2 28.73758 26.65823 Severe
#> 3 27.08827 26.87214 Severe
#> 4 27.92312 25.45922 Severe
#> 5 24.51383 27.70882 Non.Severe
#> 6 26.29915 26.24771 Non.Severe