Lines Matching refs:df
172 ## 02-05-10 ... fixed lchisqprob indentation (failed when df=even)
870 df = n - 2
871 t = r * math.sqrt(df / ((1.0 - r + TINY) * (1.0 + r + TINY)))
872 prob = betai(0.5 * df, 0.5, df / float(df + t * t))
907 df = n - 2
908 probrs = betai(0.5 * df, 0.5, df / (df + t * t)) # t already a float
940 df = n - 2
941 t = rpb * math.sqrt(df / ((1.0 - rpb + TINY) * (1.0 + rpb + TINY)))
942 prob = betai(0.5 * df, 0.5, df / (df + t * t)) # t already a float
1001 df = n - 2
1002 t = r * math.sqrt(df / ((1.0 - r + TINY) * (1.0 + r + TINY)))
1003 prob = betai(0.5 * df, 0.5, df / (df + t * t))
1027 df = n - 1
1028 svar = ((n - 1) * v) / float(df)
1030 prob = betai(0.5 * df, 0.5, float(df) / (df + t * t))
1056 df = n1 + n2 - 2
1057 svar = ((n1 - 1) * v1 + (n2 - 1) * v2) / float(df)
1061 prob = betai(0.5 * df, 0.5, df / (df + t * t))
1096 df = n - 1
1097 cov = cov / float(df)
1100 prob = betai(0.5 * df, 0.5, df / (df + t * t))
1304 df = len(args) - 1
1308 return h, chisqprob(h, df)
1341 def lchisqprob(chisq, df):
1344 chi-square value and df. Adapted from chisq.c in Gary Perlman's |Stat.
1346 Usage: lchisqprob(chisq,df)
1357 if chisq <= 0 or df < 1:
1360 if df % 2 == 0:
1364 if df > 1:
1370 if (df > 2):
1371 chisq = 0.5 * (df - 1.0)
3152 df = n - 2
3153 t = r * math.sqrt(df / ((1.0 - r + TINY) * (1.0 + r + TINY)))
3154 prob = abetai(0.5 * df, 0.5, df / (df + t * t), verbose)
3172 df = n - 2
3173 probrs = abetai(0.5 * df, 0.5, df / (df + t * t))
3203 df = n - 2
3204 t = rpb * math.sqrt(df / ((1.0 - rpb + TINY) * (1.0 + rpb + TINY)))
3205 prob = abetai(0.5 * df, 0.5, df / (df + t * t))
3271 df = n - 2
3272 t = r * math.sqrt(df / ((1.0 - r + TINY) * (1.0 + r + TINY)))
3273 prob = abetai(0.5 * df, 0.5, df / (df + t * t))
3315 df = n - 2
3316 t = r * N.sqrt(df / ((1.0 - r + TINY) * (1.0 + r + TINY)))
3317 prob = abetai(0.5 * df, 0.5, df / (df + t * t))
3345 df = n - 1
3346 svar = ((n - 1) * v) / float(df)
3348 prob = abetai(0.5 * df, 0.5, df / (df + t * t))
3386 df = n1 + n2 - 2
3387 svar = ((n1 - 1) * v1 + (n2 - 1) * v2) / float(df)
3393 probs = abetai(0.5 * df, 0.5, float(df) / (df + t * t))
3414 def ap2t(pval, df):
3416 Tries to compute a t-value from a p-value (or pval array) and associated df.
3421 Usage: ap2t(pval,df)
3430 prob = abetai(0.5 * df, 0.5, float(df) / (df + t * t))
3435 prob = abetai(0.5 * df, 0.5, float(df) / (df + t * t))
3473 df = float(n - 1)
3478 df)
3484 probs = abetai(0.5 * df, 0.5, float(df) / (df + t * t))
3689 df = len(args) - 1
3693 return h, chisqprob(h, df)
3724 def achisqprob(chisq, df):
3727 value and df. Heavily modified from chisq.c in Gary Perlman's |Stat. Can
3730 Usage: achisqprob(chisq,df) chisq=chisquare stat., df=degrees of freedom
3744 if df < 1:
3750 if df > 1:
3752 if df % 2 == 0:
3760 if (df > 2):
3761 chisq = 0.5 * (df - 1.0)
4065 df = n - 2
4068 probs = abetai(0.5 * df, 0.5, float(df) / (df + t * t))
4129 title = [['EF/ER', 'DF', 'Mean Square', 'F-value', 'prob', '']]
