Displaying 3 results from an estimated 3 matches for "minimumpitch".
Did you mean:
maximumpitch
2005 Feb 17
1
Error in eval(expr, envir, enclos) : numeric envir arg not of length one
I am working with a largish dataset of 25k lines and I am now tying to
use predict.
pred = predict(cuDataGlmModel, length + meanPitch + minimumPitch +
maximumPitch + meanF1 + meanF2 + meanF3 + meanF4 + meanF5 +
ratioF1ToF2 + rationF3ToF1 + jitter + shimmer + percentUnvoicedFrames
+ numberOfVoiceBreaks + percentOfVoiceBreaks + meanIntensity +
minimumIntensity + maximumIntensity + ratioIntensity + noSyllsIntensity
+ startSpeech + syllables)...
2005 May 27
1
logistic regression
...0.4486 1.2471
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 11.1923783 4.6536898 2.405 0.01617 *
length -0.3529775 0.2416538 -1.461 0.14410
meanPitch -0.0203590 0.0064752 -3.144 0.00167 **
minimumPitch 0.0257213 0.0053092 4.845 1.27e-06 ***
maximumPitch -0.0003454 0.0030008 -0.115 0.90838
meanF1 0.0137880 0.0047035 2.931 0.00337 **
meanF2 0.0040238 0.0041684 0.965 0.33439
meanF3 -0.0075497 0.0026751 -2.822...
2005 Apr 27
1
making table() work
...0.8851 2.7025
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 26.3112869 21.2229690 1.240 0.215066
length -0.6249415 0.1906254 -3.278 0.001044 **
meanPitch -0.0110389 0.0053083 -2.080 0.037565 *
minimumPitch 0.0002689 0.0024290 0.111 0.911845
maximumPitch -0.0013454 0.0038149 -0.353 0.724326
meanF1 -0.0362153 0.0112499 -3.219 0.001286 **
meanF2 0.0016765 0.0115335 0.145 0.884430
meanF3 0.0073960 0.0076235 0.970...