Last data update: 2014.03.03
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R: print the LDCA object
print.LDCA | R Documentation |
print the LDCA object
Description
print the LDCA object
Usage
## S3 method for class 'LDCA'
print(x, ...)
Arguments
x |
the LDCA object
|
... |
other arguments.
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Author(s)
Xiaolin Yang, Han Liu
Examples
library(glmnet)
x=matrix(rnorm(100*20),100,20)
y=rbinom(100,1,0.5)
fit=LDCA(x,y)
print(fit)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
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Type 'license()' or 'licence()' for distribution details.
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Type 'contributors()' for more information and
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Type 'demo()' for some demos, 'help()' for on-line help, or
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Type 'q()' to quit R.
> library(BigTSP)
Loading required package: glmnet
Loading required package: Matrix
Loading required package: foreach
Loaded glmnet 2.0-5
Loading required package: tree
Loading required package: randomForest
randomForest 4.6-12
Type rfNews() to see new features/changes/bug fixes.
Loading required package: gbm
Loading required package: survival
Loading required package: lattice
Loading required package: splines
Loading required package: parallel
Loaded gbm 2.1.1
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/BigTSP/print.LDCA.Rd_%03d_medium.png", width=480, height=480)
> ### Name: print.LDCA
> ### Title: print the LDCA object
> ### Aliases: print.LDCA
> ### Keywords: ~kwd1 ~kwd2
>
> ### ** Examples
>
> library(glmnet)
> x=matrix(rnorm(100*20),100,20)
> y=rbinom(100,1,0.5)
> fit=LDCA(x,y)
> print(fit)
Call:
LDCA(X = x, y = y)
Lambda values:
[1] 0.109221847 0.104257545 0.099518879 0.094995592 0.090677896 0.086556446
[7] 0.082622321 0.078867009 0.075282382 0.071860682 0.068594503 0.065476777
[13] 0.062500756 0.059660000 0.056948361 0.054359970 0.051889226 0.049530780
[19] 0.047279530 0.045130602 0.043079347 0.041121324 0.039252296 0.037468219
[25] 0.035765231 0.034139646 0.032587946 0.031106774 0.029692923 0.028343334
[31] 0.027055085 0.025825390 0.024651586 0.023531134 0.022461607 0.021440692
[37] 0.020466180 0.019535960 0.018648021 0.017800440 0.016991382 0.016219098
[43] 0.015481915 0.014778238 0.014106544 0.013465380 0.012853357 0.012269153
[49] 0.011711501 0.011179195 0.010671083 0.010186066 0.009723094 0.009281164
[55] 0.008859321 0.008456651 0.008072283 0.007705385 0.007355164 0.007020860
[61] 0.006701751 0.006397146 0.006106386 0.005828841 0.005563912 0.005311023
[67] 0.005069629 0.004839207 0.004619257 0.004409305 0.004208895 0.004017594
[73] 0.003834988 0.003660682 0.003494299 0.003335477 0.003183875 0.003039163
[79] 0.002901028 0.002769172 0.002643309 0.002523166 0.002408485 0.002299015
[85] 0.002194521 0.002094777 0.001999566 0.001908683 0.001821930 0.001739121
[91] 0.001660075 0.001584622 0.001512598 0.001443849 0.001378223 0.001315581
[97] 0.001255786 0.001198708 0.001144225 0.001092218
Coefficients:
190 x 100 sparse Matrix of class "dgCMatrix"
[[ suppressing 100 column names 's0', 's1', 's2' ... ]]
V1 . . . . . . .
V2 . . . . . . .
V3 . . . . . . .
V4 . . . . . . .
V5 . . . . . . .
V6 . . . . . . .
V7 . . . . . . .
V8 . . . . . . .
V9 . . . . . . .
V10 . . . . . . .
V11 . . . . . . .
V12 . . . . . . .
V13 . . . . . . .
V14 . . . . . . .
V15 . . . . . . .
V16 . . . . . . .
V17 . . . . . . .
V18 . . . . . . .
V19 . . . . . . .
V20 . . . . . . .
V21 . . . . . . .
V22 . . . . . . .
V23 . . . . . . .
V24 . . . . . . .
V25 . . . . . . .
V26 . . . . . . .
V27 . . . . . . .
V28 . . . . . . .
V29 . . . . . . .
V30 . . . . . . .
V31 . . . . . . .
V32 . . . . . . .
V33 . 0.04134282 0.08058845 0.11823346 0.15432117 0.18897224 0.2222906
V34 . . . . . . .
V35 . . . . . . .
V36 . . . . . . .
V37 . . . . . . .
V38 . . . . . . .
V39 . . . . . . .
V40 . . . . . . .
V41 . . . . . . .
V42 . . . . . . .
V43 . . . . . . .
V44 . . . . . . .
V45 . . . . . . .
V46 . . . . . . .
V47 . . . . . . .
V48 . . -0.01165058 -0.04459428 -0.07613831 -0.10638627 -0.1354293
V49 . . . . . . .
V50 . . . . . . .
V51 . . . . . . .
V52 . . . . . . .
V53 . . . . . . .
V54 . . . . . . .
V55 . . . . . . .
V56 . . . . . . .
V57 . . . . . . .
V58 . . -0.01929699 -0.04287433 -0.06545663 -0.08711594 -0.1079166
V59 . . . . . . .
V60 . . . . . . .
V61 . . . . . . .
V62 . . . . . . .
V63 . . . . . . .
V64 . . . . . . .
V65 . . . . . . .
V66 . . . . . . .
V67 . . . . . . .
V68 . . . . . . .
V69 . . . . . . .
V70 . . . . . . .
V71 . . . . . . .
V72 . . . . . . .
V73 . . . . . . .
V74 . . . . . . .
V75 . . . . . . .
V76 . . . . . . .
V77 . . . . . . .
V78 . . . . . . .
V79 . . . . . . .
V80 . . . . . . .
V81 . . . . . . .
V82 . . . . . . .
V83 . . . . . . .
V84 . . . . . . .
V85 . . . . . . .
V86 . . . . . . .
V87 . . . . . . .
V88 . . . . . . .
V89 . . . . . . .
V90 . . . . . . .
V91 . . . . . . .
V92 . . . . . . .
V93 . . . . . . .
V94 . . . . . . .
V95 . . . . . . .
V96 . 0.01377831 0.05352099 0.08892668 0.12286858 0.15545367 0.1867747
V97 . . . . . . .
V98 . . . . . . .
V99 . . . . . . .
V100 . . . . . . .
V101 . . . . . . .
V102 . . . . . . .
V103 . . . . . . .
V104 . . . . . . .
V105 . . . . . . .
V106 . . . . . . .
V107 . . . . . . .
V108 . . . . . . .
V109 . . . . . . .
V110 . . . . . . .
V111 . . . . . . .
V112 . . . . . . .
V113 . . . . . . .
V114 . . . . . . .
V115 . . . . . . .
V116 . . . . . . .
V117 . . . . . . .
V118 . . . . . . .
V119 . . . . . . .
V120 . . . . . . .
V121 . . . . . . .
V122 . . . . . . .
V123 . . . . . . .
V124 . 0.03968955 0.07277181 0.10219737 0.13038548 0.15742893 0.1834077
V125 . . . . . . .
V126 . . . . . . .
V127 . . . . . . .
V128 . . . . . . .
V129 . . . . . . .
V130 . . . . . . .
V131 . . . . . . .
V132 . . . . . . .
V133 . . . . . . .
V134 . . . . . . .
V135 . . . . . . .
V136 . . . . . . .
V137 . . . . . . .
V138 . . . . . . .
V139 . . . . . . .
V140 . . . . . . .
V141 . . . . . . .
V142 . . . . . . .
V143 . . . . . . .
V144 . . . . . . .
V145 . . . . . . .
V146 . . . . . . .
V147 . . . . . . .
V148 . . . . . . .
V149 . . . . . . .
V150 . . . . . . .
V151 . . . . . . .
V152 . . . . . . .
V153 . . . . . . .
V154 . . . . . . .
V155 . . . . . . .
V156 . . . . . . .
V157 . . . . . . .
V158 . . . . . . .
V159 . . . . . . .
V160 . . . . . . .
V161 . . . . . . .
V162 . . . . . . .
V163 . . . . . . .
V164 . . . . . . .
V165 . . . . . . .
V166 . . . . . . .
V167 . . . . . . .
V168 . . . . . . .
V169 . . . . . . .
V170 . . . . . . .
V171 . . . . . . .
V172 . . . . . . .
V173 . . . . . . .
V174 . . . . . . .
V175 . . . . . . .
V176 . . . . . . .
V177 . . . . . . .
V178 . . . . . . .
V179 . . . . . . .
V180 . . . . . . .
V181 . . . . . . .
V182 . . . . . . .
V183 . . . . . . .
V184 . . . . . . .
V185 . . . . . . .
V186 . . . . . . .
V187 . . . . . . .
V188 . . . . . . .
V189 . . . . . . .
V190 . . . . . . .
V1 . . . . . .
V2 . . . . . .
V3 . . . . . .
V4 . . . . . .
V5 . . . . -0.002245284 -0.01570577
V6 . . . . . .
V7 . . . . . .
V8 . . . . . .
V9 . . . . . .
V10 . . . . . .
V11 . . . . . .
V12 . . . . . .
V13 . . . . . .
V14 . . . . . .
V15 . . . . . .
V16 . . . . . .
V17 . . . . . .
V18 . . . . . .
V19 . . . . . .
V20 . . . 0.01666161 0.031557352 0.04439270
V21 . . . . . .
V22 . . . . . .
V23 . . . . . .
V24 . . . . . .
V25 . . . . . .
V26 . . . . . .
V27 . . . . . .
V28 . . . . . .
V29 . . . . . .
V30 . -0.01244681 -0.04518120 -0.08077143 -0.115915940 -0.14929520
V31 . . . . . .
V32 . . . . . .
V33 0.25461799 0.28761075 0.32204101 0.35232691 0.387521946 0.42113246
V34 . . . . . .
V35 . . . . . .
V36 . . . . . .
V37 . . . . . .
V38 . . . . . .
V39 . . . . . .
V40 . . . . . .
V41 . . . . . .
V42 . . . . . .
V43 . . . . . .
V44 . . . . . .
V45 . . . . . .
V46 . . . . . .
V47 . . . . . .
V48 -0.15754280 -0.17569712 -0.19200605 -0.20505039 -0.219607846 -0.23110274
V49 . . . . . .
V50 . . . . . .
V51 . . . . . .
V52 . . . . . .
V53 -0.01951967 -0.04159300 -0.06290725 -0.07950095 -0.094709484 -0.11014794
V54 . . . . . .
V55 . . . . . .
V56 . . . . . .
V57 . . . . . .
V58 -0.12732454 -0.14576702 -0.16334337 -0.17813461 -0.192290734 -0.20664625
V59 . . . . . .
V60 . . . . . .
V61 . . . . . .
V62 . . . . . .
V63 . . . . . .
V64 . . . . . .
V65 . . . . . .
V66 . . . . . .
V67 . . . . . .
V68 . . . . . .
V69 . . . . . .
V70 . . . . . .
V71 . . . . . .
V72 . . . . . .
V73 . . . . . .
V74 . . . . . .
V75 . . . . . .
V76 . . . . . .
V77 . . . . . .
V78 . . . . . .
V79 . . . . . .
V80 . . . . . .
V81 . . . . . .
V82 . . . . . .
V83 . . . . . .
V84 . . . . . .
V85 . . . . . .
V86 . . . . . .
V87 . . . . . .
V88 . . . . . .
V89 . . . . . .
V90 . . . . . .
V91 . . . . . .
V92 . . . . . .
V93 . . . . . .
V94 . . . . . .
V95 . . . . . .
V96 0.21856366 0.25095269 0.28379105 0.31802801 0.348929092 0.37661202
V97 . . . . . .
V98 . . . . . .
V99 . . . . . .
V100 . . . . . .
V101 . . . . . .
V102 . . . . . .
V103 0.01741355 0.05141089 0.08324160 0.11250024 0.140974659 0.16871932
V104 . . . . . .
V105 . . . . . .
V106 . . . . . .
V107 . . . . . .
V108 . . . . . .
V109 . . . . . .
V110 . . . . . .
V111 . . . . . .
V112 . . . . . .
V113 . . . . . .
V114 . . . . . .
V115 . . . . . .
V116 . . . . . .
V117 . . . . . .
V118 . . . . . .
V119 . . . . . .
V120 . . . . . .
V121 . . . . . .
V122 . . . . . .
V123 . . . . . .
V124 0.20730625 0.23277914 0.25820749 0.28226279 0.302605031 0.32201794
V125 . . . . . .
V126 . . . . . .
V127 . . . . . .
V128 . . . . . .
V129 . . . . . .
V130 . . . . . .
V131 . . . . . .
V132 . . . . . .
V133 . . . . . .
V134 . . . . . .
V135 . . . . . .
V136 . . . . . .
V137 . . . . . .
V138 . . . . . .
V139 . . . . . .
V140 . . . . -0.027720484 -0.05642437
V141 . . . . . .
V142 . . . . . .
V143 . . . . . .
V144 . . . . . .
V145 . . . . . .
V146 . . . . . .
V147 . . . . . .
V148 . . . . . .
V149 . . . . . .
V150 . . . . . .
V151 . . . . . .
V152 . . . . . .
V153 . . . . . .
V154 . . . . . .
V155 . . . . . .
V156 . . . . . .
V157 . . . . . .
V158 . . . . .
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