Description Usage Arguments Value Examples
Significant Cutoff Value for Linear Regression
1 2 |
data |
data |
y |
name for y |
x |
name for x |
cut.numb |
number of cutoff points |
n.per |
the least percentage of the smaller group comprised in all patients |
p.cut |
cutoff of p value, default is 0.05 |
strict |
logical. TRUE means significant differences for each group combination were considered. FALSE means considering for any combination |
include |
direction of cutoff point. Any left letter of lower or upper |
round |
digital. Default is 2 |
adjust |
numeric value, adjust methord for p value. 1, defaulted, represents Bonferroni. 2 represent formula given by Douglas G in 1994 |
a dataframe contains cutoff points value, subject numbers in each group, dumb variable, beta of regression and p value.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 |
1: all combination: 351
2: filter by n.per
---
===
Combination: 30
3: last combination: 1
cut1 cut2 n n.per dump beta pvalue p.adjust
1 140.8 318 10/14/8 0.31/0.44/0.25 b2/b3 -1.36/-2.42 0.05/0.00 1.37/0.09
1: all combination: 351
2: filter by n.per
---
===
Combination: 30
3: last combination: 1
cut1 cut2 n n.per dump beta pvalue p.adjust
1 140.8 318 10/14/8 0.31/0.44/0.25 b2/b3 -1.36/-2.42 0.05/0.00 1.37/0.09
1: all combination: 351
2: filter by n.per
---
===
Combination: 30
3: last combination: 29
cut1 cut2 n n.per dump beta pvalue p.adjust
1 120.3 225.0 8/9/15 0.25/0.28/0.47 b2/b3 0.03/-1.68 0.97/0.03 29.12/ 0.75
2 120.3 258.0 8/10/14 0.25/0.31/0.44 b2/b3 0.11/-1.85 0.88/0.01 26.55/ 0.35
3 120.3 275.8 8/13/11 0.25/0.41/0.34 b2/b3 -0.14/-2.10 0.84/0.01 25.31/ 0.20
4 120.3 301.0 8/14/10 0.25/0.44/0.31 b2/b3 -0.42/-1.91 0.58/0.02 17.26/ 0.65
5 120.3 304.0 8/15/9 0.25/0.47/0.28 b2/b3 -0.48/-1.97 0.52/0.02 15.51/ 0.63
6 120.3 318.0 8/16/8 0.25/0.50/0.25 b2/b3 -0.56/-2.00 0.45/0.02 13.48/ 0.72
7 121.0 225.0 9/8/15 0.28/0.25/0.47 b2/b3 0.04/-1.67 0.96/0.02 28.82/ 0.62
8 121.0 258.0 9/9/14 0.28/0.28/0.44 b2/b3 0.13/-1.85 0.87/0.01 25.95/ 0.28
9 121.0 275.8 9/12/11 0.28/0.38/0.34 b2/b3 -0.14/-2.10 0.83/0.01 25.00/ 0.16
10 121.0 301.0 9/13/10 0.28/0.41/0.31 b2/b3 -0.44/-1.90 0.54/0.02 16.25/ 0.55
11 121.0 304.0 9/14/9 0.28/0.44/0.28 b2/b3 -0.51/-1.97 0.48/0.02 14.42/ 0.53
12 121.0 318.0 9/15/8 0.28/0.47/0.25 b2/b3 -0.59/-1.99 0.41/0.02 12.31/ 0.61
13 140.8 258.0 10/8/14 0.31/0.25/0.44 b2/b3 -0.82/-2.28 0.26/0.00 7.94/0.03
14 140.8 275.8 10/11/11 0.31/0.34/0.34 b2/b3 -0.97/-2.52 0.15/0.00 4.39/0.02
15 140.8 301.0 10/12/10 0.31/0.38/0.31 b2/b3 -1.26/-2.33 0.07/0.00 2.12/0.07
16 140.8 304.0 10/13/9 0.31/0.41/0.28 b2/b3 -1.30/-2.39 0.06/0.00 1.76/0.07
17 140.8 318.0 10/14/8 0.31/0.44/0.25 b2/b3 -1.36/-2.42 0.05/0.00 1.37/0.09
18 145.0 275.8 11/10/11 0.34/0.31/0.34 b2/b3 -0.39/-2.20 0.56/0.00 16.89/ 0.07
19 145.0 301.0 11/11/10 0.34/0.34/0.31 b2/b3 -0.73/-2.01 0.30/0.01 9.04/0.26
20 145.0 304.0 11/12/9 0.34/0.38/0.28 b2/b3 -0.79/-2.07 0.26/0.01 7.68/0.26
21 145.0 318.0 11/13/8 0.34/0.41/0.25 b2/b3 -0.87/-2.10 0.21/0.01 6.16/0.31
22 146.7 275.8 12/9/11 0.38/0.28/0.34 b2/b3 -0.69/-2.31 0.32/0.00 9.49/0.03
23 146.7 301.0 12/10/10 0.38/0.31/0.31 b2/b3 -1.04/-2.11 0.14/0.00 4.22/0.14
24 146.7 304.0 12/11/9 0.38/0.34/0.28 b2/b3 -1.09/-2.18 0.12/0.00 3.47/0.13
25 146.7 318.0 12/12/8 0.38/0.38/0.25 b2/b3 -1.16/-2.20 0.09/0.01 2.65/0.16
26 160.0 301.0 14/8/10 0.44/0.25/0.31 b2/b3 -0.48/-1.81 0.52/0.01 15.60/ 0.39
27 160.0 304.0 14/9/9 0.44/0.28/0.28 b2/b3 -0.56/-1.88 0.43/0.01 13.01/ 0.38
28 160.0 318.0 14/10/8 0.44/0.31/0.25 b2/b3 -0.67/-1.90 0.34/0.02 10.14/ 0.46
29 167.6 318.0 16/8/8 0.50/0.25/0.25 b2/b3 -0.86/-1.91 0.24/0.01 7.10/0.37
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