[R] structure of NIRsoil

[rhotuser m@iii@g oii y@hoo@co@jp]

Dear Sir,

After installing prospectr, 
> data(NIRsoil)> mode(NIRsoil)[1] "list"> 
I am a beginner and the structure of “NIRsoil” is complicated.

Judging from the explanation of NIRsoil (see below), there are six elements: NT, Ciso, CEC, train, validation, spc.

Please tell me how to know the structure of such “NIRsoil”.
When using mode (NIRsoil) , The answer is just a “list”.
Is there a command or function "Detailstructure (NIRsoil)"?
> NIRsoil
.
.     spc.2494  spc.2496  spc.24981   0.3724227 0.3724588 0.37256772   0.3159643 0.3164802 0.31681803   0.3416802 0.3422180 0.34263164   0.3650448 0.3654987 0.36580555   0.3050233 0.3058226 0.30640076   0.3599009 0.3603650 0.36070207   0.3365467 0.3369826 0.33725788   0.3922267 0.3926329 0.39288209   0.3149452 0.3153307 0.315540410  0.4951153 0.4954152 0.495766411  0.3414548 0.3418657 0.342114012  0.3314737 0.3319690 0.332336513  0.4153854 0.4156993 0.416079614  0.3311567 0.3316245 0.331926815  0.3289777 0.3294281 0.329720616  0.4268982 0.4274236 0.427819517  0.3421552 0.3426531 0.342981518  0.3452011 0.3457459 0.346121719  0.3497368 0.3497175 0.349840320  0.3896840 0.3901652 0.390537521  0.4062244 0.4066894 0.407021322  0.3792031 0.3796499 0.379960123  0.3252305 0.3256037 0.325836624  0.3427994 0.3431511 0.343363125  0.3410443 0.3414203 0.341648926  0.3947710 0.3952165 0.395562027  0.2930943 0.2934901 0.293697728  0.4138924 0.4144398 0.414861929  0.2906964 0.2910948 0.291324130  0.4000607 0.4004497 0.400749131  0.3275807 0.3278961 0.328067632  0.3343273 0.3347059 0.334947033  0.2923162 0.2927208 0.292952534  0.3181143 0.3184221 0.318574835  0.3959161 0.3963806 0.396695436  0.3412020 0.3415608 0.341737737  0.3109980 0.3119904 0.312796538  0.3452408 0.3457109 0.346040139  0.2352630 0.2357922 0.236104440  0.3731434 0.3735985 0.373948341  0.3776968 0.3780733 0.378314142  0.4279117 0.4278319 0.427811343  0.3499106 0.3502492 0.350448044  0.4060152 0.4064416 0.406781645  0.4434104 0.4437352 0.444117646  0.3106347 0.3111292 0.311479047  0.3048005 0.3052686 0.305555748  0.3074032 0.3078929 0.308188549  0.3099467 0.3103620 0.310607950  0.4140719 0.4140101 0.414070551  0.3047789 0.3051992 0.305453152  0.4372076 0.4371921 0.437301153  0.3784582 0.3788292 0.379046054  0.3070685 0.3074959 0.307739255  0.3929690 0.3930495 0.393248956  0.3104950 0.3109303 0.311175657  0.3110389 0.3114884 0.311783658  0.3561086 0.3565895 0.356935659  0.2946499 0.2950254 0.295230760  0.3396696 0.3402275 0.340604561  0.4174463 0.4174852 0.417609462  0.3838490 0.3845536 0.385175463  0.4214520 0.4217800 0.422008564  0.3136719 0.3141062 0.314410265  0.3137282 0.3141668 0.314444466  0.4341556 0.4341235 0.434172067  0.3028214 0.3032053 0.303438768  0.2929183 0.2933525 0.293613269  0.2901444 0.2905667 0.290814470  0.2926482 0.2930853 0.293328871  0.3964101 0.3968658 0.397207272  0.3205706 0.3209653 0.321186973  0.2965653 0.2970253 0.297328574  0.3271259 0.3274269 0.327623075  0.2910520 0.2914549 0.291697476  0.3266725 0.3271569 0.327475777  0.3405427 0.3410150 0.341319778  0.3164929 0.3169560 0.317269479  0.3489597 0.3495394 0.349918280  0.3369682 0.3374025 0.337660681  0.2608885 0.2613245 0.261581182  0.3132109 0.3136024 0.313788183  0.3155325 0.3159175 0.316144884  0.3156847 0.3160608 0.316250785  0.2751068 0.2754884 0.275712986  0.2722970 0.2726988 0.272900087  0.3421156 0.3424138 0.342577688  0.4408897 0.4413919 0.441767389  0.4094418 0.4098032 0.410052590  0.2883307 0.2887366 0.288972191  0.3368085 0.3373375 0.337674492  0.2914632 0.2918586 0.292056993  0.3701615 0.3703609 0.370657894  0.3168159 0.3172900 0.317585795  0.3141627 0.3145356 0.314785296  0.2717998 0.2721882 0.272409297  0.2994829 0.2998522 0.300074998  0.4238313 0.4238643 0.423967099  0.3173946 0.3178398 0.3181364100 0.3065352 0.3070051 0.3073053101 0.4119025 0.4122178 0.4126194102 0.2997539 0.3001756 0.3004323103 0.3195902 0.3200457 0.3203547104 0.3770273 0.3775299 0.3779288105 0.3119653 0.3123196 0.3125118106 0.3007703 0.3012067 0.3014555107 0.3583141 0.3586335 0.3588411108 0.3613160 0.3616626 0.3619002109 0.3012548 0.3016973 0.3019971110 0.3040114 0.3044745 0.3047490111 0.3886676 0.3889934 0.3894869112 0.3381325 0.3386472 0.3389995113 0.3228837 0.3232841 0.3235284114 0.3175641 0.3179575 0.3182012115 0.3255604 0.3259808 0.3262322116 0.3038366 0.3043306 0.3046326117 0.3040762 0.3045244 0.3048216118 0.3101427 0.3105674 0.3108223119 0.3186323 0.3190890 0.3194055120 0.3183660 0.3188377 0.3191515121 0.3716398 0.3723766 0.3729757122 0.3336347 0.3341000 0.3344247123 0.3013631 0.3017261 0.3018954124 0.3559751 0.3563222 0.3565449125 0.3467284 0.3475789 0.3482055126 0.2983477 0.2992734 0.3000016127 0.2966113 0.2970161 0.2972673128 0.3244559 0.3249162 0.3252265129 0.3687044 0.3692860 0.3697534130 0.2949226 0.2953484 0.2956104131 0.3449411 0.3454331 0.3457713132 0.3458079 0.3462659 0.3465872133 0.3879239 0.3882694 0.3884915134 0.3998409 0.3997933 0.3999189135 0.2591648 0.2596039 0.2598299136 0.3145797 0.3149986 0.3152637137 0.3184437 0.3188738 0.3191448138 0.3101936 0.3105727 0.3108114139 0.3263323 0.3267737 0.3270491140 0.3234212 0.3238232 0.3240880141 0.5669109 0.5681474 0.5693322142 0.4268930 0.4277861 0.4285390 [ reached getOption("max.print") -- 683 
Finally, another question: Why 142 lines ?                                  825 observed data and 5 variables, the reference said.

Reference-----------
| NIRsoil {prospectr} | R Documentation |


NIRSoil

Description
Soil spectral library of the ‘Chimiometrie 2006’challenge. The database contains absorbance spectra ofdried and sieved soil samples measured between 1100 nm and2498 nm at 2 nm interval. The soil samples come fromagricultural fields collected from all over the Walloonregion in Belgium. Three parameters are associated with thespectral library: Nt (Total Nitrogen in g/Kg of dry soil),CEC (Cation Exchange Capacity in meq/100 g of dry soil) andCiso (Carbon in g/100 g of dry soil). Carbon content hasbeen measured following the ISO14235 method.
Usage
data(NIRsoil)

Format
A data frame of 825 observations and 5 variables
Details
The dataset includes 618 training and 207 test samples with5 variables: Nt (Total Nitrogen), Ciso (Carbon), CEC(Cation Exchange Capacity), train (vector of 0,1indicating training (1) and validation (0) samples) and spc(a matrix with absorbance NIR data and bandpositions as colnames). Nt, Ciso and CEC haverespectively 22 %, 11 % and 46 % of the observationswith missing values.
Source
Pierre Dardenne from Walloon Agricultural Research Centre,Belgium.
References
Fernandez Pierna, J.A., and Dardenne, P., 2008. Soilparameter quantification by NIRS as a Chemometric challengeat 'Chimiometrie 2006'. Chemometrics and IntelligentLaboratory Systems 91, 94-98.Minasny, B., and McBratney, A.B., 2008. Regression rules asa tool for predicting soil properties from infraredreflectance spectroscopy. Chemometrics and IntelligentLaboratory Systems 94, 72-79.
 Package prospectr version 0.1.3 Index



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