predict.Ord.logreg: Prediction of Response Using Ord.logreg
In OrdLogReg: Ordinal Logic Regression
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
View source: R/predict.Ord.logreg.R
Description
Computes predicted values for new data for an ordinal logic regression model fitted using Ord.logreg
Usage
1
2
Arguments
object
An object of class Ord.logreg.
newdata
A matrix or data frame containing new predictor values. If not given, predictions will be made for the original data used to construct the model.
...
Not currently used.
Value
predicted.category
A vector of predicted classes for each observation in the new data.
prediction.matrix
A matrix of indicators of whether or not a tree in the oridnal logic regression model made a positive prediction. The last column in the matrix represents the tree that predicts the highest class, the second to last column represents the tree that preditcts the second highest class, etc. A value of 1 indcates the tree predicted that the observation was of the tree-specific class.
Author(s)
Bethany Wolf wolfb@musc.edu
See Also
Examples
1
2
3
4
5
6
7
8
data(OLRmod)
#Prediction on original data used to fit the model
predict(OLRmod)
#prediction on new data
data(OLRtestdata)
predict(OLRmod, newdata=OLRtestdata[,1:50])
Example output
Loading required package: LogicReg
Loading required package: survival
$predicted.category
[1] 0 2 2 3 3 0 2 2 2 0 0 1 2 1 2 1 3 2 1 0 3 2 0 2 1 2 2 2 0 3 3 3 0 2 0 0 1
[38] 3 0 3 3 1 3 2 1 0 3 2 2 1 2 3 1 3 1 0 0 0 2 1 2 1 2 1 1 3 1 0 2 2 1 0 1 0
[75] 3 2 2 2 1 3 2 3 1 0 3 0 0 3 1 3 0 2 0 1 2 3 3 0 2 0 1 0 2 1 2 3 3 0 0 2 2
[112] 1 3 0 0 2 3 0 3 1 3 1 3 0 2 1 3 3 0 3 2 1 1 1 1 1 2 2 0 3 2 2 2 3 0 1 3 3
[149] 1 2 2 3 2 2 0 1 3 1 0 1 0 1 1 1 1 3 1 1 3 3 0 2 0 0 0 1 0 2 3 3 1 3 2 0 1
[186] 1 3 1 0 2 3 0 0 1 0 1 1 2 3 2 3 1 3 1 1 0 3 0 1 1 3 2 2 0 2 0 2 0 2 3 1 3
[223] 3 1 3 3 3 0 2 0 2 0 3 0 0 0 0 2 2 1 1 1 1 3 1 3 2 2 3 1 0 2 2 0 1 0 2 0 1
[260] 1 0 1 0 1 1 1 3 0 0 2 3 3 0 2 0 1 3 0 3 0 1 2 2 2 0 0 3 3 3 3 1 1 2 0 3 0
[297] 1 2 1 3 2 0 1 2 3 3 1 0 2 1 2 0 1 1 1 0 3 3 3 2 3 2 0 2 0 1 0 0 0 0 3 3 1
[334] 3 3 0 1 3 1 0 2 0 0 2 3 2 2 3 1 0 0 2 2 1 3 0 2 3 2 0 2 2 3 1 2 2 3 3 1 1
[371] 2 3 2 2 0 3 2 0 1 3 1 1 2 3 1 3 1 2 0 3 0 0 0 2 1 3 3 1 3 2
$prediction.matrix
[,1] [,2] [,3]
[1,] 0 0 0
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[166,] 0 0 1
[167,] 1 0 0
[168,] 1 0 0
[169,] 0 0 1
[170,] 0 0 1
[171,] 0 0 0
[172,] 0 1 0
[173,] 0 0 0
[174,] 0 0 0
[175,] 0 0 0
[176,] 1 0 0
[177,] 0 0 0
[178,] 0 1 0
[179,] 0 0 1
[180,] 0 0 1
[181,] 1 0 0
[182,] 0 0 1
[183,] 0 1 0
[184,] 0 0 0
[185,] 1 0 0
[186,] 1 0 0
[187,] 0 0 1
[188,] 1 0 0
[189,] 0 0 0
[190,] 0 1 0
[191,] 0 0 1
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[316,] 0 0 0
[317,] 0 0 1
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[320,] 0 1 0
[321,] 0 0 1
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[326,] 1 0 0
[327,] 0 0 0
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[330,] 0 0 0
[331,] 0 0 1
[332,] 0 0 1
[333,] 1 0 0
[334,] 0 0 1
[335,] 0 0 1
[336,] 0 0 0
[337,] 1 0 0
[338,] 0 0 1
[339,] 1 0 0
[340,] 0 0 0
[341,] 0 1 0
[342,] 0 0 0
[343,] 0 0 0
[344,] 0 1 0
[345,] 0 0 1
[346,] 0 1 0
[347,] 0 1 0
[348,] 0 0 1
[349,] 1 0 0
[350,] 0 0 0
[351,] 0 0 0
[352,] 0 1 0
[353,] 0 1 0
[354,] 1 0 0
[355,] 0 0 1
[356,] 0 0 0
[357,] 0 1 0
[358,] 0 0 1
[359,] 0 1 0
[360,] 0 0 0
[361,] 0 1 0
[362,] 0 1 0
[363,] 0 0 1
[364,] 1 0 0
[365,] 0 1 0
[366,] 0 1 0
[367,] 0 0 1
[368,] 0 0 1
[369,] 1 0 0
[370,] 1 0 0
[371,] 0 1 0
[372,] 0 0 1
[373,] 0 1 0
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[375,] 0 0 0
[376,] 0 0 1
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[380,] 0 0 1
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[395,] 1 0 0
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[399,] 0 0 1
[400,] 0 1 0
$predicted.category
[1] 3 0 0 0 1 3 0 1 0 1 0 3 2 0 0 2 1 2 2 3 0 1 2 2 1 0 0 0 1 2 1 2 0 3 0 0 0
[38] 3 0 3 1 3 3 3 2 3 1 3 0 3 0 0 2 0 2 3 3 2 3 0 0 0 2 3 3 1 3 3 1 0 1 2 3 3
[75] 3 0 3 1 1 2 0 1 3 0 2 3 0 3 1 1 2 3 1 0 0 0 1 2 0 3
$prediction.matrix
[,1] [,2] [,3]
[1,] 1 0 1
[2,] 0 0 0
[3,] 0 0 0
[4,] 0 0 0
[5,] 1 0 0
[6,] 0 0 1
[7,] 0 0 0
[8,] 1 0 0
[9,] 0 0 0
[10,] 1 0 0
[11,] 0 0 0
[12,] 0 0 1
[13,] 0 1 0
[14,] 0 0 0
[15,] 0 0 0
[16,] 0 1 0
[17,] 1 0 0
[18,] 0 1 0
[19,] 0 1 0
[20,] 0 0 1
[21,] 0 0 0
[22,] 1 0 0
[23,] 0 1 0
[24,] 0 1 0
[25,] 1 0 0
[26,] 0 0 0
[27,] 0 0 0
[28,] 0 0 0
[29,] 1 0 0
[30,] 0 1 0
[31,] 1 0 0
[32,] 0 1 0
[33,] 0 0 0
[34,] 1 0 1
[35,] 0 0 0
[36,] 0 0 0
[37,] 0 0 0
[38,] 0 0 1
[39,] 0 0 0
[40,] 0 1 1
[41,] 1 0 0
[42,] 1 0 1
[43,] 0 0 1
[44,] 0 0 1
[45,] 0 1 0
[46,] 0 0 1
[47,] 1 0 0
[48,] 1 0 1
[49,] 0 0 0
[50,] 0 0 1
[51,] 0 0 0
[52,] 0 0 0
[53,] 0 1 0
[54,] 0 0 0
[55,] 0 1 0
[56,] 0 0 1
[57,] 0 0 1
[58,] 0 1 0
[59,] 0 0 1
[60,] 0 0 0
[61,] 0 0 0
[62,] 0 0 0
[63,] 1 1 0
[64,] 0 1 1
[65,] 1 0 1
[66,] 1 0 0
[67,] 0 0 1
[68,] 0 0 1
[69,] 1 0 0
[70,] 0 0 0
[71,] 1 0 0
[72,] 0 1 0
[73,] 0 0 1
[74,] 1 0 1
[75,] 0 0 1
[76,] 0 0 0
[77,] 0 0 1
[78,] 1 0 0
[79,] 1 0 0
[80,] 0 1 0
[81,] 0 0 0
[82,] 1 0 0
[83,] 1 0 1
[84,] 0 0 0
[85,] 0 1 0
[86,] 0 0 1
[87,] 0 0 0
[88,] 0 0 1
[89,] 1 0 0
[90,] 1 0 0
[91,] 0 1 0
[92,] 0 0 1
[93,] 1 0 0
[94,] 0 0 0
[95,] 0 0 0
[96,] 0 0 0
[97,] 1 0 0
[98,] 0 1 0
[99,] 0 0 0
[100,] 0 0 1
OrdLogReg documentation built on May 29, 2017, 10:29 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
View source: R/predict.Ord.logreg.R
Description
Computes predicted values for new data for an ordinal logic regression model fitted using Ord.logreg
Usage
1 2 |
Arguments
object |
An object of class |
newdata |
A matrix or data frame containing new predictor values. If not given, predictions will be made for the original data used to construct the model. |
... |
Not currently used. |
Value
predicted.category |
A vector of predicted classes for each observation in the new data. |
prediction.matrix |
A matrix of indicators of whether or not a tree in the oridnal logic regression model made a positive prediction. The last column in the matrix represents the tree that predicts the highest class, the second to last column represents the tree that preditcts the second highest class, etc. A value of 1 indcates the tree predicted that the observation was of the tree-specific class. |
Author(s)
Bethany Wolf wolfb@musc.edu
See Also
Examples
1 2 3 4 5 6 7 8 | data(OLRmod)
#Prediction on original data used to fit the model
predict(OLRmod)
#prediction on new data
data(OLRtestdata)
predict(OLRmod, newdata=OLRtestdata[,1:50])
|
Example output
Loading required package: LogicReg
Loading required package: survival
$predicted.category
[1] 0 2 2 3 3 0 2 2 2 0 0 1 2 1 2 1 3 2 1 0 3 2 0 2 1 2 2 2 0 3 3 3 0 2 0 0 1
[38] 3 0 3 3 1 3 2 1 0 3 2 2 1 2 3 1 3 1 0 0 0 2 1 2 1 2 1 1 3 1 0 2 2 1 0 1 0
[75] 3 2 2 2 1 3 2 3 1 0 3 0 0 3 1 3 0 2 0 1 2 3 3 0 2 0 1 0 2 1 2 3 3 0 0 2 2
[112] 1 3 0 0 2 3 0 3 1 3 1 3 0 2 1 3 3 0 3 2 1 1 1 1 1 2 2 0 3 2 2 2 3 0 1 3 3
[149] 1 2 2 3 2 2 0 1 3 1 0 1 0 1 1 1 1 3 1 1 3 3 0 2 0 0 0 1 0 2 3 3 1 3 2 0 1
[186] 1 3 1 0 2 3 0 0 1 0 1 1 2 3 2 3 1 3 1 1 0 3 0 1 1 3 2 2 0 2 0 2 0 2 3 1 3
[223] 3 1 3 3 3 0 2 0 2 0 3 0 0 0 0 2 2 1 1 1 1 3 1 3 2 2 3 1 0 2 2 0 1 0 2 0 1
[260] 1 0 1 0 1 1 1 3 0 0 2 3 3 0 2 0 1 3 0 3 0 1 2 2 2 0 0 3 3 3 3 1 1 2 0 3 0
[297] 1 2 1 3 2 0 1 2 3 3 1 0 2 1 2 0 1 1 1 0 3 3 3 2 3 2 0 2 0 1 0 0 0 0 3 3 1
[334] 3 3 0 1 3 1 0 2 0 0 2 3 2 2 3 1 0 0 2 2 1 3 0 2 3 2 0 2 2 3 1 2 2 3 3 1 1
[371] 2 3 2 2 0 3 2 0 1 3 1 1 2 3 1 3 1 2 0 3 0 0 0 2 1 3 3 1 3 2
$prediction.matrix
[,1] [,2] [,3]
[1,] 0 0 0
[2,] 0 1 0
[3,] 0 1 0
[4,] 0 0 1
[5,] 0 0 1
[6,] 0 0 0
[7,] 0 1 0
[8,] 0 1 0
[9,] 0 1 0
[10,] 0 0 0
[11,] 0 0 0
[12,] 1 0 0
[13,] 0 1 0
[14,] 1 0 0
[15,] 0 1 0
[16,] 1 0 0
[17,] 0 0 1
[18,] 0 1 0
[19,] 1 0 0
[20,] 0 0 0
[21,] 0 0 1
[22,] 0 1 0
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[24,] 0 1 0
[25,] 1 0 0
[26,] 0 1 0
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[28,] 0 1 0
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[31,] 0 0 1
[32,] 0 0 1
[33,] 0 0 0
[34,] 0 1 0
[35,] 0 0 0
[36,] 0 0 0
[37,] 1 0 0
[38,] 0 0 1
[39,] 0 0 0
[40,] 0 0 1
[41,] 0 0 1
[42,] 1 0 0
[43,] 0 0 1
[44,] 0 1 0
[45,] 1 0 0
[46,] 0 0 0
[47,] 0 0 1
[48,] 0 1 0
[49,] 0 1 0
[50,] 1 0 0
[51,] 0 1 0
[52,] 0 0 1
[53,] 1 0 0
[54,] 0 0 1
[55,] 1 0 0
[56,] 0 0 0
[57,] 0 0 0
[58,] 0 0 0
[59,] 0 1 0
[60,] 1 0 0
[61,] 0 1 0
[62,] 1 0 0
[63,] 0 1 0
[64,] 1 0 0
[65,] 1 0 0
[66,] 0 0 1
[67,] 1 0 0
[68,] 0 0 0
[69,] 0 1 0
[70,] 0 1 0
[71,] 1 0 0
[72,] 0 0 0
[73,] 1 0 0
[74,] 0 0 0
[75,] 0 0 1
[76,] 0 1 0
[77,] 0 1 0
[78,] 0 1 0
[79,] 1 0 0
[80,] 0 0 1
[81,] 0 1 0
[82,] 0 0 1
[83,] 1 0 0
[84,] 0 0 0
[85,] 0 0 1
[86,] 0 0 0
[87,] 0 0 0
[88,] 0 0 1
[89,] 1 0 0
[90,] 0 0 1
[91,] 0 0 0
[92,] 0 1 0
[93,] 0 0 0
[94,] 1 0 0
[95,] 0 1 0
[96,] 0 0 1
[97,] 0 0 1
[98,] 0 0 0
[99,] 0 1 0
[100,] 0 0 0
[101,] 1 0 0
[102,] 0 0 0
[103,] 0 1 0
[104,] 1 0 0
[105,] 0 1 0
[106,] 0 0 1
[107,] 0 0 1
[108,] 0 0 0
[109,] 0 0 0
[110,] 0 1 0
[111,] 0 1 0
[112,] 1 0 0
[113,] 0 0 1
[114,] 0 0 0
[115,] 0 0 0
[116,] 0 1 0
[117,] 0 0 1
[118,] 0 0 0
[119,] 0 0 1
[120,] 1 0 0
[121,] 0 0 1
[122,] 1 0 0
[123,] 0 0 1
[124,] 0 0 0
[125,] 0 1 0
[126,] 1 0 0
[127,] 0 0 1
[128,] 0 0 1
[129,] 0 0 0
[130,] 0 0 1
[131,] 0 1 0
[132,] 1 0 0
[133,] 1 0 0
[134,] 1 0 0
[135,] 1 0 0
[136,] 1 0 0
[137,] 0 1 0
[138,] 0 1 0
[139,] 0 0 0
[140,] 0 0 1
[141,] 0 1 0
[142,] 0 1 0
[143,] 0 1 0
[144,] 0 0 1
[145,] 0 0 0
[146,] 1 0 0
[147,] 0 0 1
[148,] 0 0 1
[149,] 1 0 0
[150,] 0 1 0
[151,] 0 1 0
[152,] 0 0 1
[153,] 0 1 0
[154,] 0 1 0
[155,] 0 0 0
[156,] 1 0 0
[157,] 0 0 1
[158,] 1 0 0
[159,] 0 0 0
[160,] 1 0 0
[161,] 0 0 0
[162,] 1 0 0
[163,] 1 0 0
[164,] 1 0 0
[165,] 1 0 0
[166,] 0 0 1
[167,] 1 0 0
[168,] 1 0 0
[169,] 0 0 1
[170,] 0 0 1
[171,] 0 0 0
[172,] 0 1 0
[173,] 0 0 0
[174,] 0 0 0
[175,] 0 0 0
[176,] 1 0 0
[177,] 0 0 0
[178,] 0 1 0
[179,] 0 0 1
[180,] 0 0 1
[181,] 1 0 0
[182,] 0 0 1
[183,] 0 1 0
[184,] 0 0 0
[185,] 1 0 0
[186,] 1 0 0
[187,] 0 0 1
[188,] 1 0 0
[189,] 0 0 0
[190,] 0 1 0
[191,] 0 0 1
[192,] 0 0 0
[193,] 0 0 0
[194,] 1 0 0
[195,] 0 0 0
[196,] 1 0 0
[197,] 1 0 0
[198,] 0 1 0
[199,] 0 0 1
[200,] 0 1 0
[201,] 0 0 1
[202,] 1 0 0
[203,] 0 0 1
[204,] 1 0 0
[205,] 1 0 0
[206,] 0 0 0
[207,] 0 0 1
[208,] 0 0 0
[209,] 1 0 0
[210,] 1 0 0
[211,] 0 0 1
[212,] 0 1 0
[213,] 0 1 0
[214,] 0 0 0
[215,] 0 1 0
[216,] 0 0 0
[217,] 0 1 0
[218,] 0 0 0
[219,] 0 1 0
[220,] 0 0 1
[221,] 1 0 0
[222,] 0 0 1
[223,] 0 0 1
[224,] 1 0 0
[225,] 0 0 1
[226,] 0 0 1
[227,] 0 0 1
[228,] 0 0 0
[229,] 0 1 0
[230,] 0 0 0
[231,] 0 1 0
[232,] 0 0 0
[233,] 0 0 1
[234,] 0 0 0
[235,] 0 0 0
[236,] 0 0 0
[237,] 0 0 0
[238,] 0 1 0
[239,] 0 1 0
[240,] 1 0 0
[241,] 1 0 0
[242,] 1 0 0
[243,] 1 0 0
[244,] 0 0 1
[245,] 1 0 0
[246,] 0 0 1
[247,] 0 1 0
[248,] 0 1 0
[249,] 0 0 1
[250,] 1 0 0
[251,] 0 0 0
[252,] 0 1 0
[253,] 0 1 0
[254,] 0 0 0
[255,] 1 0 0
[256,] 0 0 0
[257,] 0 1 0
[258,] 0 0 0
[259,] 1 0 0
[260,] 1 0 0
[261,] 0 0 0
[262,] 1 0 0
[263,] 0 0 0
[264,] 1 0 0
[265,] 1 0 0
[266,] 1 0 0
[267,] 0 0 1
[268,] 0 0 0
[269,] 0 0 0
[270,] 0 1 0
[271,] 0 0 1
[272,] 0 0 1
[273,] 0 0 0
[274,] 0 1 0
[275,] 0 0 0
[276,] 1 0 0
[277,] 0 0 1
[278,] 0 0 0
[279,] 0 0 1
[280,] 0 0 0
[281,] 1 0 0
[282,] 0 1 0
[283,] 0 1 0
[284,] 0 1 0
[285,] 0 0 0
[286,] 0 0 0
[287,] 0 0 1
[288,] 0 0 1
[289,] 0 0 1
[290,] 0 0 1
[291,] 1 0 0
[292,] 1 0 0
[293,] 0 1 0
[294,] 0 0 0
[295,] 0 0 1
[296,] 0 0 0
[297,] 1 0 0
[298,] 0 1 0
[299,] 1 0 0
[300,] 0 0 1
[301,] 0 1 0
[302,] 0 0 0
[303,] 1 0 0
[304,] 0 1 0
[305,] 0 0 1
[306,] 0 0 1
[307,] 1 0 0
[308,] 0 0 0
[309,] 0 1 0
[310,] 1 0 0
[311,] 0 1 0
[312,] 0 0 0
[313,] 1 0 0
[314,] 1 0 0
[315,] 1 0 0
[316,] 0 0 0
[317,] 0 0 1
[318,] 0 0 1
[319,] 0 0 1
[320,] 0 1 0
[321,] 0 0 1
[322,] 0 1 0
[323,] 0 0 0
[324,] 0 1 0
[325,] 0 0 0
[326,] 1 0 0
[327,] 0 0 0
[328,] 0 0 0
[329,] 0 0 0
[330,] 0 0 0
[331,] 0 0 1
[332,] 0 0 1
[333,] 1 0 0
[334,] 0 0 1
[335,] 0 0 1
[336,] 0 0 0
[337,] 1 0 0
[338,] 0 0 1
[339,] 1 0 0
[340,] 0 0 0
[341,] 0 1 0
[342,] 0 0 0
[343,] 0 0 0
[344,] 0 1 0
[345,] 0 0 1
[346,] 0 1 0
[347,] 0 1 0
[348,] 0 0 1
[349,] 1 0 0
[350,] 0 0 0
[351,] 0 0 0
[352,] 0 1 0
[353,] 0 1 0
[354,] 1 0 0
[355,] 0 0 1
[356,] 0 0 0
[357,] 0 1 0
[358,] 0 0 1
[359,] 0 1 0
[360,] 0 0 0
[361,] 0 1 0
[362,] 0 1 0
[363,] 0 0 1
[364,] 1 0 0
[365,] 0 1 0
[366,] 0 1 0
[367,] 0 0 1
[368,] 0 0 1
[369,] 1 0 0
[370,] 1 0 0
[371,] 0 1 0
[372,] 0 0 1
[373,] 0 1 0
[374,] 0 1 0
[375,] 0 0 0
[376,] 0 0 1
[377,] 0 1 0
[378,] 0 0 0
[379,] 1 0 0
[380,] 0 0 1
[381,] 1 0 0
[382,] 1 0 0
[383,] 0 1 0
[384,] 0 0 1
[385,] 1 0 0
[386,] 0 0 1
[387,] 1 0 0
[388,] 0 1 0
[389,] 0 0 0
[390,] 0 0 1
[391,] 0 0 0
[392,] 0 0 0
[393,] 0 0 0
[394,] 0 1 0
[395,] 1 0 0
[396,] 0 0 1
[397,] 0 0 1
[398,] 1 0 0
[399,] 0 0 1
[400,] 0 1 0
$predicted.category
[1] 3 0 0 0 1 3 0 1 0 1 0 3 2 0 0 2 1 2 2 3 0 1 2 2 1 0 0 0 1 2 1 2 0 3 0 0 0
[38] 3 0 3 1 3 3 3 2 3 1 3 0 3 0 0 2 0 2 3 3 2 3 0 0 0 2 3 3 1 3 3 1 0 1 2 3 3
[75] 3 0 3 1 1 2 0 1 3 0 2 3 0 3 1 1 2 3 1 0 0 0 1 2 0 3
$prediction.matrix
[,1] [,2] [,3]
[1,] 1 0 1
[2,] 0 0 0
[3,] 0 0 0
[4,] 0 0 0
[5,] 1 0 0
[6,] 0 0 1
[7,] 0 0 0
[8,] 1 0 0
[9,] 0 0 0
[10,] 1 0 0
[11,] 0 0 0
[12,] 0 0 1
[13,] 0 1 0
[14,] 0 0 0
[15,] 0 0 0
[16,] 0 1 0
[17,] 1 0 0
[18,] 0 1 0
[19,] 0 1 0
[20,] 0 0 1
[21,] 0 0 0
[22,] 1 0 0
[23,] 0 1 0
[24,] 0 1 0
[25,] 1 0 0
[26,] 0 0 0
[27,] 0 0 0
[28,] 0 0 0
[29,] 1 0 0
[30,] 0 1 0
[31,] 1 0 0
[32,] 0 1 0
[33,] 0 0 0
[34,] 1 0 1
[35,] 0 0 0
[36,] 0 0 0
[37,] 0 0 0
[38,] 0 0 1
[39,] 0 0 0
[40,] 0 1 1
[41,] 1 0 0
[42,] 1 0 1
[43,] 0 0 1
[44,] 0 0 1
[45,] 0 1 0
[46,] 0 0 1
[47,] 1 0 0
[48,] 1 0 1
[49,] 0 0 0
[50,] 0 0 1
[51,] 0 0 0
[52,] 0 0 0
[53,] 0 1 0
[54,] 0 0 0
[55,] 0 1 0
[56,] 0 0 1
[57,] 0 0 1
[58,] 0 1 0
[59,] 0 0 1
[60,] 0 0 0
[61,] 0 0 0
[62,] 0 0 0
[63,] 1 1 0
[64,] 0 1 1
[65,] 1 0 1
[66,] 1 0 0
[67,] 0 0 1
[68,] 0 0 1
[69,] 1 0 0
[70,] 0 0 0
[71,] 1 0 0
[72,] 0 1 0
[73,] 0 0 1
[74,] 1 0 1
[75,] 0 0 1
[76,] 0 0 0
[77,] 0 0 1
[78,] 1 0 0
[79,] 1 0 0
[80,] 0 1 0
[81,] 0 0 0
[82,] 1 0 0
[83,] 1 0 1
[84,] 0 0 0
[85,] 0 1 0
[86,] 0 0 1
[87,] 0 0 0
[88,] 0 0 1
[89,] 1 0 0
[90,] 1 0 0
[91,] 0 1 0
[92,] 0 0 1
[93,] 1 0 0
[94,] 0 0 0
[95,] 0 0 0
[96,] 0 0 0
[97,] 1 0 0
[98,] 0 1 0
[99,] 0 0 0
[100,] 0 0 1
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