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tests/testthat/_snaps/probability_estimators.md
In weibulltools: Statistical Methods for Life Data Analysis
snapshots: examples
# A tibble: 10 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <int> <dbl> <chr>
1 3435 10000 1 1 0.0673 mr
2 1203 20000 1 2 0.163 mr
3 958X 30000 1 3 0.260 mr
4 XX71 40000 1 4 0.356 mr
5 abcd 50000 1 5 0.452 mr
6 tz46 60000 1 6 0.548 mr
7 fl29 70000 1 7 0.644 mr
8 AX23 80000 1 8 0.740 mr
9 Uy12 90000 1 9 0.837 mr
10 kl1a 100000 1 10 0.933 mr
# A tibble: 10 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <int> <dbl> <chr>
1 3435 10000 1 1 0.0670 mr
2 1203 20000 1 2 0.162 mr
3 958X 30000 1 3 0.259 mr
4 XX71 40000 1 4 0.355 mr
5 abcd 50000 1 5 0.452 mr
6 tz46 60000 1 6 0.548 mr
7 fl29 70000 1 7 0.645 mr
8 AX23 80000 1 8 0.741 mr
9 Uy12 90000 1 9 0.838 mr
10 kl1a 100000 1 10 0.933 mr
# A tibble: 10 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <dbl> <dbl> <chr>
1 3435 10000 0 NA NA johnson
2 1203 20000 1 1.1 0.0769 johnson
3 958X 30000 1 2.2 0.183 johnson
4 XX71 40000 0 NA NA johnson
5 abcd 50000 0 NA NA johnson
6 tz46 60000 0 NA NA johnson
7 fl29 70000 1 3.96 0.352 johnson
8 AX23 80000 0 NA NA johnson
9 Uy12 90000 1 6.31 0.578 johnson
10 kl1a 100000 0 NA NA johnson
# A tibble: 10 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <dbl> <dbl> <chr>
1 3435 10000 0 NA NA nelson
2 1203 20000 1 NA 0.105 nelson
3 958X 30000 1 NA 0.210 nelson
4 XX71 40000 0 NA NA nelson
5 abcd 50000 0 NA NA nelson
6 tz46 60000 0 NA NA nelson
7 fl29 70000 1 NA 0.385 nelson
8 AX23 80000 0 NA NA nelson
9 Uy12 90000 1 NA 0.627 nelson
10 kl1a 100000 0 NA NA nelson
# A tibble: 10 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <dbl> <dbl> <chr>
1 3435 10000 0 NA NA kaplan
2 1203 20000 1 NA 0.111 kaplan
3 958X 30000 1 NA 0.222 kaplan
4 XX71 40000 0 NA NA kaplan
5 abcd 50000 0 NA NA kaplan
6 tz46 60000 0 NA NA kaplan
7 fl29 70000 1 NA 0.417 kaplan
8 AX23 80000 0 NA NA kaplan
9 Uy12 90000 1 NA 0.708 kaplan
10 kl1a 100000 0 NA NA kaplan
# A tibble: 23 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <dbl> <dbl> <chr>
1 X 10000 1 NA 0.110 kaplan
2 X 10000 1 NA 0.110 kaplan
3 X 20000 1 NA 0.227 kaplan
4 X 20000 1 NA 0.227 kaplan
5 X 30000 1 NA 0.413 kaplan
6 X 30000 1 NA 0.413 kaplan
7 X 30000 1 NA 0.413 kaplan
8 X 30000 1 NA 0.413 kaplan
9 X 40000 1 NA 0.481 kaplan
10 X 50000 1 NA 0.580 kaplan
# i 13 more rows
snapshots: input with repeating characteristics
# A tibble: 2 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <int> <dbl> <chr>
1 X 1 1 2 0.708 mr
2 X 1 1 2 0.708 mr
# A tibble: 4 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <dbl> <dbl> <chr>
1 X 1 0 NA NA johnson
2 X 1 1 2 0.386 johnson
3 X 1 0 NA NA johnson
4 X 1 1 2 0.386 johnson
# A tibble: 4 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <dbl> <dbl> <chr>
1 X 1 0 NA NA kaplan
2 X 1 1 NA 0.5 kaplan
3 X 1 0 NA NA kaplan
4 X 1 1 NA 0.5 kaplan
# A tibble: 4 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <dbl> <dbl> <chr>
1 X 1 0 NA NA nelson
2 X 1 1 NA 0 nelson
3 X 1 0 NA NA nelson
4 X 1 1 NA 0 nelson
.keep_all keeps additional columns
# A tibble: 11 x 7
id x status rank prob cdf_estimation_method failure_mode
<chr> <int> <dbl> <int> <dbl> <chr> <chr>
1 ID1 6700 1 1 0.0614 mr mode_1
2 ID5 9120 1 2 0.149 mr mode_2
3 ID13 12200 1 3 0.237 mr mode_1
4 ID15 13150 1 4 0.325 mr mode_2
5 ID19 14300 1 5 0.412 mr mode_1
6 ID20 17520 1 6 0.5 mr mode_1
7 ID27 20100 1 7 0.588 mr mode_2
8 ID31 20900 1 8 0.675 mr mode_2
9 ID32 22700 1 9 0.763 mr mode_1
10 ID34 26510 1 10 0.851 mr mode_1
11 ID36 27490 1 11 0.939 mr mode_1
# A tibble: 38 x 7
id x status rank prob cdf_estimation_method failure_mode
<chr> <int> <dbl> <dbl> <dbl> <chr> <chr>
1 ID1 6700 1 1 0.0182 johnson mode_1
2 ID2 6950 0 NA NA johnson censored
3 ID3 7820 0 NA NA johnson censored
4 ID4 8790 0 NA NA johnson censored
5 ID5 9120 1 2.09 0.0465 johnson mode_2
6 ID6 9660 0 NA NA johnson censored
7 ID7 9820 0 NA NA johnson censored
8 ID8 11310 0 NA NA johnson censored
9 ID9 11690 0 NA NA johnson censored
10 ID10 11850 0 NA NA johnson censored
# i 28 more rows
# A tibble: 38 x 7
id x status rank prob cdf_estimation_method failure_mode
<chr> <int> <dbl> <dbl> <dbl> <chr> <chr>
1 ID1 6700 1 NA 0.0263 kaplan mode_1
2 ID2 6950 0 NA NA kaplan censored
3 ID3 7820 0 NA NA kaplan censored
4 ID4 8790 0 NA NA kaplan censored
5 ID5 9120 1 NA 0.0550 kaplan mode_2
6 ID6 9660 0 NA NA kaplan censored
7 ID7 9820 0 NA NA kaplan censored
8 ID8 11310 0 NA NA kaplan censored
9 ID9 11690 0 NA NA kaplan censored
10 ID10 11850 0 NA NA kaplan censored
# i 28 more rows
# A tibble: 38 x 7
id x status rank prob cdf_estimation_method failure_mode
<chr> <int> <dbl> <dbl> <dbl> <chr> <chr>
1 ID1 6700 1 NA 0.0260 nelson mode_1
2 ID2 6950 0 NA NA nelson censored
3 ID3 7820 0 NA NA nelson censored
4 ID4 8790 0 NA NA nelson censored
5 ID5 9120 1 NA 0.0542 nelson mode_2
6 ID6 9660 0 NA NA nelson censored
7 ID7 9820 0 NA NA nelson censored
8 ID8 11310 0 NA NA nelson censored
9 ID9 11690 0 NA NA nelson censored
10 ID10 11850 0 NA NA nelson censored
# i 28 more rows
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snapshots: examples
# A tibble: 10 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <int> <dbl> <chr>
1 3435 10000 1 1 0.0673 mr
2 1203 20000 1 2 0.163 mr
3 958X 30000 1 3 0.260 mr
4 XX71 40000 1 4 0.356 mr
5 abcd 50000 1 5 0.452 mr
6 tz46 60000 1 6 0.548 mr
7 fl29 70000 1 7 0.644 mr
8 AX23 80000 1 8 0.740 mr
9 Uy12 90000 1 9 0.837 mr
10 kl1a 100000 1 10 0.933 mr
# A tibble: 10 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <int> <dbl> <chr>
1 3435 10000 1 1 0.0670 mr
2 1203 20000 1 2 0.162 mr
3 958X 30000 1 3 0.259 mr
4 XX71 40000 1 4 0.355 mr
5 abcd 50000 1 5 0.452 mr
6 tz46 60000 1 6 0.548 mr
7 fl29 70000 1 7 0.645 mr
8 AX23 80000 1 8 0.741 mr
9 Uy12 90000 1 9 0.838 mr
10 kl1a 100000 1 10 0.933 mr
# A tibble: 10 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <dbl> <dbl> <chr>
1 3435 10000 0 NA NA johnson
2 1203 20000 1 1.1 0.0769 johnson
3 958X 30000 1 2.2 0.183 johnson
4 XX71 40000 0 NA NA johnson
5 abcd 50000 0 NA NA johnson
6 tz46 60000 0 NA NA johnson
7 fl29 70000 1 3.96 0.352 johnson
8 AX23 80000 0 NA NA johnson
9 Uy12 90000 1 6.31 0.578 johnson
10 kl1a 100000 0 NA NA johnson
# A tibble: 10 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <dbl> <dbl> <chr>
1 3435 10000 0 NA NA nelson
2 1203 20000 1 NA 0.105 nelson
3 958X 30000 1 NA 0.210 nelson
4 XX71 40000 0 NA NA nelson
5 abcd 50000 0 NA NA nelson
6 tz46 60000 0 NA NA nelson
7 fl29 70000 1 NA 0.385 nelson
8 AX23 80000 0 NA NA nelson
9 Uy12 90000 1 NA 0.627 nelson
10 kl1a 100000 0 NA NA nelson
# A tibble: 10 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <dbl> <dbl> <chr>
1 3435 10000 0 NA NA kaplan
2 1203 20000 1 NA 0.111 kaplan
3 958X 30000 1 NA 0.222 kaplan
4 XX71 40000 0 NA NA kaplan
5 abcd 50000 0 NA NA kaplan
6 tz46 60000 0 NA NA kaplan
7 fl29 70000 1 NA 0.417 kaplan
8 AX23 80000 0 NA NA kaplan
9 Uy12 90000 1 NA 0.708 kaplan
10 kl1a 100000 0 NA NA kaplan
# A tibble: 23 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <dbl> <dbl> <chr>
1 X 10000 1 NA 0.110 kaplan
2 X 10000 1 NA 0.110 kaplan
3 X 20000 1 NA 0.227 kaplan
4 X 20000 1 NA 0.227 kaplan
5 X 30000 1 NA 0.413 kaplan
6 X 30000 1 NA 0.413 kaplan
7 X 30000 1 NA 0.413 kaplan
8 X 30000 1 NA 0.413 kaplan
9 X 40000 1 NA 0.481 kaplan
10 X 50000 1 NA 0.580 kaplan
# i 13 more rows
snapshots: input with repeating characteristics
# A tibble: 2 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <int> <dbl> <chr>
1 X 1 1 2 0.708 mr
2 X 1 1 2 0.708 mr
# A tibble: 4 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <dbl> <dbl> <chr>
1 X 1 0 NA NA johnson
2 X 1 1 2 0.386 johnson
3 X 1 0 NA NA johnson
4 X 1 1 2 0.386 johnson
# A tibble: 4 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <dbl> <dbl> <chr>
1 X 1 0 NA NA kaplan
2 X 1 1 NA 0.5 kaplan
3 X 1 0 NA NA kaplan
4 X 1 1 NA 0.5 kaplan
# A tibble: 4 x 6
id x status rank prob cdf_estimation_method
<chr> <dbl> <dbl> <dbl> <dbl> <chr>
1 X 1 0 NA NA nelson
2 X 1 1 NA 0 nelson
3 X 1 0 NA NA nelson
4 X 1 1 NA 0 nelson
.keep_all keeps additional columns
# A tibble: 11 x 7
id x status rank prob cdf_estimation_method failure_mode
<chr> <int> <dbl> <int> <dbl> <chr> <chr>
1 ID1 6700 1 1 0.0614 mr mode_1
2 ID5 9120 1 2 0.149 mr mode_2
3 ID13 12200 1 3 0.237 mr mode_1
4 ID15 13150 1 4 0.325 mr mode_2
5 ID19 14300 1 5 0.412 mr mode_1
6 ID20 17520 1 6 0.5 mr mode_1
7 ID27 20100 1 7 0.588 mr mode_2
8 ID31 20900 1 8 0.675 mr mode_2
9 ID32 22700 1 9 0.763 mr mode_1
10 ID34 26510 1 10 0.851 mr mode_1
11 ID36 27490 1 11 0.939 mr mode_1
# A tibble: 38 x 7
id x status rank prob cdf_estimation_method failure_mode
<chr> <int> <dbl> <dbl> <dbl> <chr> <chr>
1 ID1 6700 1 1 0.0182 johnson mode_1
2 ID2 6950 0 NA NA johnson censored
3 ID3 7820 0 NA NA johnson censored
4 ID4 8790 0 NA NA johnson censored
5 ID5 9120 1 2.09 0.0465 johnson mode_2
6 ID6 9660 0 NA NA johnson censored
7 ID7 9820 0 NA NA johnson censored
8 ID8 11310 0 NA NA johnson censored
9 ID9 11690 0 NA NA johnson censored
10 ID10 11850 0 NA NA johnson censored
# i 28 more rows
# A tibble: 38 x 7
id x status rank prob cdf_estimation_method failure_mode
<chr> <int> <dbl> <dbl> <dbl> <chr> <chr>
1 ID1 6700 1 NA 0.0263 kaplan mode_1
2 ID2 6950 0 NA NA kaplan censored
3 ID3 7820 0 NA NA kaplan censored
4 ID4 8790 0 NA NA kaplan censored
5 ID5 9120 1 NA 0.0550 kaplan mode_2
6 ID6 9660 0 NA NA kaplan censored
7 ID7 9820 0 NA NA kaplan censored
8 ID8 11310 0 NA NA kaplan censored
9 ID9 11690 0 NA NA kaplan censored
10 ID10 11850 0 NA NA kaplan censored
# i 28 more rows
# A tibble: 38 x 7
id x status rank prob cdf_estimation_method failure_mode
<chr> <int> <dbl> <dbl> <dbl> <chr> <chr>
1 ID1 6700 1 NA 0.0260 nelson mode_1
2 ID2 6950 0 NA NA nelson censored
3 ID3 7820 0 NA NA nelson censored
4 ID4 8790 0 NA NA nelson censored
5 ID5 9120 1 NA 0.0542 nelson mode_2
6 ID6 9660 0 NA NA nelson censored
7 ID7 9820 0 NA NA nelson censored
8 ID8 11310 0 NA NA nelson censored
9 ID9 11690 0 NA NA nelson censored
10 ID10 11850 0 NA NA nelson censored
# i 28 more rows
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