Description Usage Arguments Value Author(s) See Also Examples
This function is intended for applying functions to numeric fields of a mixed type data.frame. Namely, the function ignores fields that are e.g. factors, and returns FUN function applied to only the numeric fields.
1 |
x |
Data.frame x with mixed type fields |
FUN |
Function to apply, for example 'scale', 'cov', or 'cor' |
... |
Additional parameters passed on to FUN |
Return values of FUN when applied to numeric columns of 'x'
Teemu Daniel Laajala <teelaa@utu.fi>
1 2 3 4 5 6 |
PSAWeek4 PSAWeek10 PSAWeek14
ID003 0.813057342 1.03297829 -0.368672890
ID007 -1.091185840 -1.07818709 -0.586788716
ID008 0.586053677 1.38304790 1.279313346
ID009 1.051822855 -0.21529622 0.040294282
ID010 -1.374646375 -0.71736973 -0.648891138
ID016 -0.550140834 0.07335767 0.966150520
ID018 -0.590131117 -0.16002207 -0.375110336
ID025 1.337635760 -0.22143779 -1.392605515
ID027 -0.239628049 -0.76496691 -0.005146515
ID031 0.156746227 -1.15649213 -0.994619868
ID032 0.293183663 -0.93386014 -0.219854280
ID037 0.369635675 -0.12777882 2.114287990
ID040 1.766943210 1.38918947 0.157683008
ID045 -0.124361939 -0.04640299 0.616635057
ID047 -1.387584408 -1.22865560 -0.883668589
ID054 -0.719511445 3.09347570 3.479783939
ID056 0.449616241 2.08472250 0.712818077
ID058 -0.104366797 -0.74193602 -0.456146424
ID075 -1.508731442 -1.15802752 0.312939064
ID078 0.317883544 -0.70201580 -1.026428426
ID083 -1.173518775 -0.58225515 NA
ID084 -1.564012127 -0.83559499 -0.369808910
ID087 -0.538378986 1.93271859 1.721982443
ID093 0.002666019 -0.71890512 -0.949936418
ID097 1.163560411 0.25760483 -0.013856001
ID100 -1.468741159 -0.70815737 -0.733713959
ID101 1.430554359 0.26374640 0.785523353
ID103 -0.761854097 -0.95382025 -0.322096073
ID104 2.248002791 -0.12470803 -1.002572008
ID113 1.277650336 -0.51009168 -1.005980067
ID116 1.362335641 1.18498220 -0.897300828
ID121 1.212960172 0.75814294 0.652230348
ID125 -0.454869866 0.51401546 -0.660251337
ID138 -0.183171179 0.27910033 1.324754143
ID141 -1.309956211 -0.35348159 -0.729927226
ID144 0.596639340 -0.60989222 -0.425095213
ID152 -0.044381373 0.01808352 1.256214274
ID157 -0.966510252 -0.98913429 0.623829850
ID158 -0.795963456 -1.13039045 -1.074519936
ID160 1.203550694 0.98538111 1.081267206
ID162 1.124746312 0.23150314 -0.557252198
ID174 -0.149061820 1.58725517 0.014923171
ID182 -0.667759314 -0.68205569 -0.677670309
ID192 -0.313727691 0.63531150 -0.448194285
ID198 -0.683049716 -0.25368104 -0.314522607
attr(,"scaled:center")
PSAWeek4 PSAWeek10 PSAWeek14
17.86733 14.57222 37.37591
attr(,"scaled:scale")
PSAWeek4 PSAWeek10 PSAWeek14
8.502065 6.512990 26.407988
PSAWeek4 PSAWeek10 PSAWeek14
PSAWeek4 71.598499 19.45375 -2.849299
PSAWeek10 19.453753 43.06349 104.137805
PSAWeek14 -2.849299 104.13780 697.381806
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