Comparison of SD:
S+: 1 2 3 4
5 6
0.4884953 0.3640075 0.2580228 0.1964676 0.218965
0.304918
Mine: 1.459399 0.9816474 0.7282645 0.6043724 0.5892042
0.6695408
Data file:
dose resp risk
1 79 0 6
2 100 0 6
3 126 1 6
4 158 2 6
5 200 4 6
6 250 3 6
Summary Results:
[[1]]:
[1] "probit.analysis"
[[2]]:
Call: glm(formula = mat ~ log(dose), family = binomial(link = probit),
data = temp)
Deviance Residuals:
1 2 3 4 5 6
-0.4277536 -0.7981921 0.2167881 0.2886422 0.9139426 -0.9037637
Coefficients:
Value Std. Error t value
(Intercept) -12.141048 4.0678044 -2.984669
log(dose) 2.282767 0.7922293 2.881448
(Dispersion Parameter for Binomial family taken to be 1 )
Null Deviance: 13.5398 on 5 degrees of freedom
Residual Deviance: 2.602475 on 4 degrees of freedom
Number of Fisher Scoring Iterations: 4
Correlation of Coefficients:
(Intercept)
log(dose) -0.9979987
Fitted y and 95% confidence interval of y from S+:
lower y fitted y upper y
1 -3.5228956 -2.16661527 -0.81033490
2 -2.6391630 -1.62851601 -0.61786905
3 -1.8173279 -1.10094171 -0.38455550
4 -1.1298029 -0.58432148 -0.03884001
5 -0.6541664 -0.04622222 0.56172198
6 -0.3834255 0.46316260 1.30975072
Thanks in advance.
Kyong US Army
-----------------------------------------------------------------------
This message was distributed by s-news@wubios.wustl.edu. To unsubscribe
send e-mail to s-news-request@wubios.wustl.edu with the BODY of the
message: unsubscribe s-news