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Simulated COMPASS fit

Bundled with COMPASS · exported, loads via data()

Class
COMPASSResult
Elements
3
Missing
0
Format
rda · xz
version 2 · 173 KB
File
data/COMPASS.rda
Fingerprint
14dc7d0c
Source
Source not stated
Structure
Distinct
3
Nesting depth
4
Element length
5 – 11
Total length
24
Nested rows
15
Nested columns
1
Nested schema
varies between elements
Elements
Element
Type
Distinct
Missing
Summary
fit
list
11
0
nested
Element length
0 – 40,000
Total length
56,099
Nesting depth
3
What is inside it
Element
Type
Distinct
Missing
Summary
alpha_s
numeric
7,031
0
0.0005 – 239.652·1,000 × 8 matrixmean 36.9
Min.
0.0005
1st Qu.
12.7314
Median
21.7404
Mean
36.8988
3rd Qu.
29.7806
Max.
239.652
Std. dev
46.8354
Skewness
2.125
Kurtosis
3.233
Outliers
1,1290 low · 1129 high
A_alphas
numeric
8
0
0.805 – 0.939mean 0.8779
Min.
0.805
1st Qu.
0.829
Median
0.891
Mean
0.8779
3rd Qu.
0.9242
Max.
0.939
Std. dev
0.0542
Skewness
-0.2358
Kurtosis
-1.895
alpha_u
numeric
3,221
0
1.0911 – 61.6155·1,000 × 8 matrixmean 8.482
Min.
1.0911
1st Qu.
3.1454
Median
4.0742
Mean
8.4824
3rd Qu.
5.213
Max.
61.6155
Std. dev
12.4005
Skewness
2.458
Kurtosis
4.583
Outliers
1,0120 low · 1012 high
A_alphau
numeric
8
0
0.3 – 0.806mean 0.4016
Min.
0.3
1st Qu.
0.341
Median
0.351
Mean
0.4016
3rd Qu.
0.3628
Max.
0.806
Std. dev
0.1647
Skewness
1.795
Kurtosis
1.567
Outliers
21 low · 1 high
gamma
integer
2
0
0 – 1mean 0.2882
Min.
0
1st Qu.
0
Median
0
Mean
0.2882
3rd Qu.
1
Max.
1
Std. dev
0.4529
Skewness
0.9355
Kurtosis
-1.125
Zeros
28,474
mean_gamma
numeric
15
0
0 – 1·5 × 8 matrixmean 0.2882
Min.
0
1st Qu.
0
Median
0
Mean
0.2882
3rd Qu.
0.6605
Max.
1
Std. dev
0.409
Skewness
0.928
Kurtosis
-0.9762
Zeros
21
A_gamma
numeric
5
0
0.041 – 0.239mean 0.1248
Min.
0.041
1st Qu.
0.045
Median
0.131
Mean
0.1248
3rd Qu.
0.168
Max.
0.239
Std. dev
0.0842
Skewness
0.1588
Kurtosis
-1.95
categories
numeric
4
0
0 – 3·8 × 4 matrixmean 0.75
Min.
0
1st Qu.
0
Median
1
Mean
0.75
3rd Qu.
1
Max.
3
Std. dev
0.762
Skewness
0.8475
Kurtosis
0.4411
Zeros
13
Outliers
10 low · 1 high
model
character
1
0
8 characters
posterior
list
5
0
list
Element class
list
Element length
4 – 4
Total length
20
Nesting depth
2
data
list
8
0
nested·5 rows nested·1 cols
Element length
1 – 40
Total length
125
Nesting depth
2
Nested rows
5
What is inside it
Element
Type
Distinct
Missing
Summary
n_s
integer
33
0
4 – 1136·5 × 8 matrixmean 219.1
Min.
4
1st Qu.
68.5
Median
133
Mean
219.05
3rd Qu.
149.5
Max.
1136
Std. dev
307.283
Skewness
2.153
Kurtosis
3.026
Outliers
50 low · 5 high
n_u
integer
35
0
9 – 1172·5 × 8 matrixmean 226.7
Min.
9
1st Qu.
72.25
Median
133
Mean
226.725
3rd Qu.
159.25
Max.
1172
Std. dev
312.764
Skewness
2.113
Kurtosis
3.094
Outliers
70 low · 7 high
counts_s
integer
5
0
1581 – 1941mean 1752
Min.
1581
1st Qu.
1635
Median
1788
Mean
1752.4
3rd Qu.
1817
Max.
1941
Std. dev
145.061
Skewness
0.0242
Kurtosis
-1.944
counts_u
integer
5
0
1401 – 2189mean 1814
Min.
1401
1st Qu.
1589
Median
1706
Mean
1813.8
3rd Qu.
2184
Max.
2189
Std. dev
357.205
Skewness
0.0904
Kurtosis
-2.136
categories
numeric
4
0
0 – 3·8 × 4 matrixmean 0.75
Min.
0
1st Qu.
0
Median
1
Mean
0.75
3rd Qu.
1
Max.
3
Std. dev
0.762
Skewness
0.8475
Kurtosis
0.4411
Zeros
13
Outliers
10 low · 1 high
meta
list
1
0
character
Element class
character
Element length
5 – 5
Total length
5
sample_id
character
1
0
3 characters
individual_id
character
1
0
3 characters
Every nested table has this column
  • iid
orig
list
5
0
nested·10 rows nested·3 cols
Element length
1 – 10
Total length
25
Nesting depth
2
Nested rows
10
What is inside it
Element
Type
Distinct
Missing
Summary
data
list
10
0
numeric
Element class
numeric
Element length
1,335 – 3,177
Total length
23,277
counts
integer
10
0
1401 – 2189mean 1783
Min.
1401
1st Qu.
1600.5
Median
1747
Mean
1783.1
3rd Qu.
1910
Max.
2189
Std. dev
259.054
Skewness
0.3464
Kurtosis
-1.256
meta
list
3
0
nested
Element length
10 – 10
Total length
30
individual_id
character
1
0
3 characters
sample_id
character
1
0
3 characters
Every nested table has these 3 columns
  • sid
  • iid
  • trt

The nested tables do not share one set of columns, so there is no single schema to show.

Version history
VersionReleasedSizeChangeStored asConfidence
3.232026-04-283 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.222025-10-293 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.212025-04-153 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.202024-10-293 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.192024-04-303 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.182023-10-243 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.172023-05-013 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.162023-01-193 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.152022-04-263 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.142021-10-263 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.132021-05-193 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.122020-10-273 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.112020-04-273 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.102019-12-043 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.92019-05-023 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.82019-01-043 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.72018-10-123 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.62018-03-223 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.52017-04-243 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.42016-10-173 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.32016-05-153 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.22015-12-033 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.12015-04-163 elementsUnchangedrda · xz
version 2 · 173 KB
exact
3.02014-10-133 elementsData changed
Class, Type, Missing and Distinct unchanged
rda · xz
version 2 · 173 KB
exact
2.142014-05-093 elements–rda · xz
version 2 · 173 KB
exact

Class is the chain of classes R records on the object, most specific first. The facts above give the short name for the same chain. Type is what the values in it are. Missing is how many values were recorded as absent. Distinct is how many different values were counted in the object.

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