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CoTiMABiG_D_BO

ctmaBiG-object reproducing results of Guthier et al. (2020)

Bundled with CoTiMA · exported, loads via data()

Class
CoTiMAFit
Elements
10
Missing
0
Format
rda · xz
version 3 · 10.0 KB
File
data/CoTiMABiG_D_BO.rda
Fingerprint
193629fe
Format documented
Yes
Source
Source not stated
Structure
Distinct
10
Nesting depth
6
Element length
0 – 16
Total length
38
Elements
Element
Type
Distinct
Missing
Summary
activeDirectory
character
1
0
73 characters
plot.type
character
2
0
6 characters
model.type
character
1
0
3 characters
coresToUse
NULL
–
–
empty
n.studies
numeric
1
0
48
n.latent
numeric
1
0
2
statisticsList
list
16
0
nested
Element length
1 – 55
Total length
211
What is inside it
Element
Type
Distinct
Missing
Summary
originalStudyNumbers
numeric
48
0
2 – 324mean 168.5
Min.
2
1st Qu.
16.75
Median
165
Mean
168.5
3rd Qu.
310.25
Max.
324
Std. dev
140.956
Skewness
-0.0472
Kurtosis
-1.91
Order
ascending
allSampleSizes
integer
47
0
69 – 5256mean 548.3
Min.
69
1st Qu.
184.5
Median
261.5
Mean
548.312
3rd Qu.
485.5
Max.
5256
Std. dev
845.308
Skewness
3.95
Kurtosis
17.87
Outliers
70 low · 7 high
overallSampleSize
integer
1
0
26319
meanSampleSize
numeric
1
0
548.312
maxSampleSize
integer
1
0
5256
minSampleSize
integer
1
0
69
allDeltas
numeric
12
0
1.5 – 96mean 15.7
Min.
1.5
1st Qu.
12
Median
12
Mean
15.7
3rd Qu.
18
Max.
96
Std. dev
13.7091
Skewness
3.792
Kurtosis
18.85
Outliers
72 low · 5 high
meanDelta
numeric
1
0
15.7
maxDelta
numeric
1
0
96
minDelta
numeric
1
0
1.5
allTpoints
numeric
3
0
2 – 4mean 2.146
Min.
2
1st Qu.
2
Median
2
Mean
2.1458
3rd Qu.
2
Max.
4
Std. dev
0.412
Skewness
2.788
Kurtosis
7.481
overallTpoints
numeric
1
0
103
meanTpoints
numeric
1
0
2.1458
maxTpoints
numeric
1
0
4
minTpoints
numeric
1
0
2
n.studies
numeric
1
0
48
modelResults
list
7
0
nested
Element length
0 – 192
Total length
1,920
What is inside it
Element
Type
Distinct
Missing
Summary
DRIFT
numeric
192
0
-0.4166 – 0.269·48 × 4 matrixmean -0.02
Min.
-0.4166
1st Qu.
-0.0421
Median
-0.0117
Mean
-0.02
3rd Qu.
0.0084
Max.
0.269
Std. dev
0.0606
Skewness
-1.559
Kurtosis
12.94
Outliers
128 low · 4 high
DIFFUSION
numeric
144
0
-0.2261 – 0.7077·48 × 4 matrixmean 0.0557
Min.
-0.2261
1st Qu.
0.016
Median
0.0386
Mean
0.0557
3rd Qu.
0.0778
Max.
0.7077
Std. dev
0.0834
Skewness
3.362
Kurtosis
23.23
Outliers
102 low · 8 high
T0VAR
numeric
144
0
-0.5445 – 1.0056·48 × 4 matrixmean 0.7108
Min.
-0.5445
1st Qu.
0.4432
Median
0.8199
Mean
0.7108
3rd Qu.
0.9996
Max.
1.0056
Std. dev
0.3171
Skewness
-0.754
Kurtosis
0.5378
Outliers
22 low · 0 high
DRIFTSE
numeric
192
0
0.0004 – 0.0564·48 × 4 matrixmean 0.0102
Min.
0.0004
1st Qu.
0.0036
Median
0.0071
Mean
0.0102
3rd Qu.
0.0121
Max.
0.0564
Std. dev
0.0098
Skewness
1.907
Kurtosis
3.801
Outliers
180 low · 18 high
DIFFUSIONSE
numeric
144
0
0.0004 – 0.0902·48 × 4 matrixmean 0.0096
Min.
0.0004
1st Qu.
0.0033
Median
0.0067
Mean
0.0096
3rd Qu.
0.0117
Max.
0.0902
Std. dev
0.0104
Skewness
3.38
Kurtosis
18.68
Outliers
150 low · 15 high
T0VARSE
numeric
144
0
0.0148 – 0.1717·48 × 4 matrixmean 0.075
Min.
0.0148
1st Qu.
0.0546
Median
0.0751
Mean
0.075
3rd Qu.
0.0932
Max.
0.1717
Std. dev
0.0299
Skewness
0.3334
Kurtosis
0.1164
Outliers
20 low · 2 high
DRIFT_timeScaled
numeric
192
0
-0.4166 – 0.269·48 × 4 matrixmean -0.02
Min.
-0.4166
1st Qu.
-0.0421
Median
-0.0117
Mean
-0.02
3rd Qu.
0.0084
Max.
0.269
Std. dev
0.0606
Skewness
-1.559
Kurtosis
12.94
Outliers
128 low · 4 high
DIFFUSION_timeScaled
numeric
144
0
-0.2261 – 0.7077·48 × 4 matrixmean 0.0557
Min.
-0.2261
1st Qu.
0.016
Median
0.0386
Mean
0.0557
3rd Qu.
0.0778
Max.
0.7077
Std. dev
0.0834
Skewness
3.362
Kurtosis
23.23
Outliers
102 low · 8 high
DRIFTSE_timeScaled
numeric
192
0
0.0004 – 0.0564·48 × 4 matrixmean 0.0102
Min.
0.0004
1st Qu.
0.0036
Median
0.0071
Mean
0.0102
3rd Qu.
0.0121
Max.
0.0564
Std. dev
0.0098
Skewness
1.907
Kurtosis
3.801
Outliers
180 low · 18 high
DIFFUSIONSE_timeScaled
numeric
144
0
0.0004 – 0.0902·48 × 4 matrixmean 0.0096
Min.
0.0004
1st Qu.
0.0033
Median
0.0067
Mean
0.0096
3rd Qu.
0.0117
Max.
0.0902
Std. dev
0.0104
Skewness
3.38
Kurtosis
18.68
Outliers
150 low · 15 high
parameterNames
list
3
0
character
Element class
character
Element length
3 – 4
Total length
10
What is inside it
Element
Type
Distinct
Missing
Summary
DRIFT
character
4
0
6 characters
DIFFUSION
character
3
0
9 – 14 characters
T0VAR
character
3
0
10 – 15 characters
summary
list
2
0
nested
Element length
1 – 8
Total length
9
Nesting depth
5
What is inside it
Element
Type
Distinct
Missing
Summary
model
character
1
0
47 characters
estimates
list
7
0
nested
Element length
0 – 64
Total length
184
Nesting depth
4
Version history
VersionReleasedSizeChangeStored asConfidence
1.0.32026-07-2010 elementsUnchangedrda · xz
version 3 · 10.0 KB
exact
1.0.22025-08-2210 elementsUnchangedrda · xz
version 3 · 10.0 KB
exact
0.8.02024-04-2510 elementsData changed
Class, Type, Missing and Distinct unchanged
rda · xz
version 3 · 10.0 KB
exact
0.7.02023-12-1610 elementsUnchangedrda · xz
version 3 · 9.9 KB
exact
0.6.22022-11-0810 elementsUnchangedrda · xz
version 3 · 9.9 KB
exact
0.5.42022-01-2010 elementsUnchangedrda · xz
version 3 · 9.9 KB
exact
0.5.22021-12-0910 elementsData changed
Distinct 11 → 10
rda · xz
version 3 · 9.9 KB
exact
0.4.42021-10-1211 elementsUnchangedrda · xz
version 3 · 18 KB
exact
0.4.32021-09-0211 elementsUnchangedrda · xz
version 3 · 18 KB
exact
0.4.02021-05-2011 elementsUnchangedrda · xz
version 3 · 18 KB
exact
0.3.92021-04-1811 elementsUnchangedrda · xz
version 3 · 18 KB
exact
0.3.62021-03-1111 elements–rda · xz
version 3 · 18 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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