How can I avoid error in mnrfit line 164?
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I am getting an error message when I use the mnrfit function on a matrix X and Y like this:
X =
1 NaN 2
NaN 3 NaN
NaN NaN 4
6 NaN NaN
5 NaN NaN
Y =
-1
1
-1
1
-1
b=mnrfit(X,Y+2);
Error using mnrfit (line 164)
X and Y must contain at least one valid observation.
I cannot understand why I'm running into such an error...please advise...
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Wayne King
2013년 7월 19일
편집: Wayne King
2013년 7월 19일
The problem is that you have NaNs in every single row of your X matrix.
As the documentation states:
"mnrfit treats NaNs in X and Y as missing data, and removes the corresponding observations."
Every row in your X matrix is an observation on P predictor variables.
Since you have at least one NaN for every observation, all the observations are removed.
추가 답변 (1개)
Thomas
2013년 7월 19일
I'm assuming mnrfit does not like 'NaN' values as its input.
works fine with
x =
0.14 0.66 0.76
0.42 0.04 0.74
0.92 0.85 0.39
0.79 0.93 0.66
0.96 0.68 0.17
y =
-1.00
1.00
-1.00
1.00
-1.00
b=mnrfit(x,y+2)
b =
95.33 47.37
-58.97 -31.76
15.27 6.52
-112.15 -62.24
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