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CoTiMAInitFit_3

ctmaInit-object with of 3 primary studies

Bundled with CoTiMA · exported, loads via data()

Class
CoTiMAFit
Elements
17
Missing
0
Format
rda · xz
version 3 · 80 KB
File
data/CoTiMAInitFit_3.rda
Fingerprint
5fa7d7be
Format documented
Yes
Source
Source not stated
Structure
Distinct
16
Nesting depth
5
Element length
0 – 38
Total length
119
Nested rows
6
Nested columns
20
Elements
Element
Type
Distinct
Missing
Summary
activeDirectory
character
1
0
6 characters
plot.type
character
1
0
5 characters
model.type
character
1
0
6 characters
coresToUse
numeric
1
0
2
n.studies
integer
1
0
3
n.latent
numeric
1
0
2
n.manifest
numeric
1
0
0
lambda
numeric
2
0
0 – 1·2 × 2 matrixmean 0.5
Min.
0
1st Qu.
0
Median
0.5
Mean
0.5
3rd Qu.
1
Max.
1
Std. dev
0.5774
Skewness
0
Kurtosis
-2.438
Zeros
2
primaryStudyList
list
13
0
nested·3 rows nested·20 cols
Element length
0 – 20
Total length
88
Nesting depth
3
Nested rows
3
What is inside it
Element
Type
Distinct
Missing
Summary
deltas
list
2
0
numeric
Element class
numeric
Element length
1 – 2
Total length
4
sampleSizes
list
3
0
numeric
Element class
numeric
Element length
1 – 1
Total length
3
pairwiseNs
list
1
0
logical
Element class
logical
Element length
0 – 0
Total length
0
empcovs
list
3
0
numeric
Element class
numeric
Element length
16 – 36
Total length
68
moderators
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
3
startValues
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
3
studyNumbers
list
3
0
numeric
Element class
numeric
Element length
1 – 1
Total length
3
rawData
list
1
0
list
Element class
list
Element length
8 – 8
Total length
24
Nesting depth
2
empMeans
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
3
empVars
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
3
source
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
3
ageM
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
3
malePercent
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
3
occupation
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
3
country
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
3
alphas
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
3
targetVariables
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
3
recodeVariables
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
3
combineVariables
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
3
combineVariablesNames
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
3
missingVariables
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
3
n.studies
integer
1
0
3
summary
list
18
0
character
Element class
character
Element length
3 – 3
Total length
60
moderatorLabels
logical
0
1
0 true·0 false
moderatorValues
logical
0
1
0 true·0 false
plot.type
character
1
0
4 characters
activeDirectory
character
1
0
6 characters
Every nested table has these 20 columns
  • Delta Lag 1
  • Delta Lag 2
  • N
  • r(Y1_T0) (Y2_T0)
  • r(Y1_T0) (Y1_T1)
  • r(Y1_T0) (Y2_T1)
  • r(Y1_T0) (Y1_T2)
  • r(Y1_T0) (Y2_T2)
  • r(Y2_T0) (Y1_T1)
  • r(Y2_T0) (Y2_T1)
  • r(Y2_T0) (Y1_T2)
  • r(Y2_T0) (Y2_T2)
  • r(Y1_T1) (Y2_T1)
  • r(Y1_T1) (Y1_T2)
  • r(Y1_T1) (Y2_T2)
  • r(Y2_T1) (Y1_T2)
  • r(Y2_T1) (Y2_T2)
  • r(Y1_T2) (Y2_T2)
  • Orig. Study No.
  • combineVariables 1
studyList
list
3
0
list
Element class
list
Element length
12 – 12
Total length
36
Nesting depth
3
What is inside it
Element
Type
Distinct
Missing
Summary
[[1]]
list
10
0
nested
Element length
0 – 16
Total length
33
Nesting depth
2
[[2]]
list
11
0
nested
Element length
0 – 16
Total length
33
Nesting depth
2
[[3]]
list
11
0
nested
Element length
0 – 36
Total length
54
Nesting depth
2
statisticsList
list
15
0
nested
Element length
1 – 4
Total length
25
What is inside it
Element
Type
Distinct
Missing
Summary
originalStudyNumbers
numeric
3
0
1 – 313mean 106
Min.
1
1st Qu.
2.5
Median
4
Mean
106
3rd Qu.
158.5
Max.
313
Std. dev
179.274
Skewness
0.3848
Kurtosis
-2.333
Order
ascending
allSampleSizes
numeric
3
0
88 – 335mean 190.3
Min.
88
1st Qu.
118
Median
148
Mean
190.333
3rd Qu.
241.5
Max.
335
Std. dev
128.827
Skewness
0.2931
Kurtosis
-2.333
overallSampleSize
integer
1
0
571
meanSampleSize
numeric
1
0
190.333
maxSampleSize
numeric
1
0
335
minSampleSize
numeric
1
0
88
allDeltas
numeric
2
0
0.5 – 3mean 1.75
Min.
0.5
1st Qu.
0.5
Median
1.75
Mean
1.75
3rd Qu.
3
Max.
3
Std. dev
1.4434
Skewness
0
Kurtosis
-2.438
Order
descending
meanDelta
numeric
1
0
1.75
maxDelta
numeric
1
0
3
minDelta
numeric
1
0
0.5
allTpoints
numeric
2
0
2 – 3mean 2.333
Min.
2
1st Qu.
2
Median
2
Mean
2.3333
3rd Qu.
2.5
Max.
3
Std. dev
0.5774
Skewness
0.3849
Kurtosis
-2.333
Order
ascending
overallTpoints
numeric
1
0
7
meanTpoints
numeric
1
0
2.3333
maxTpoints
numeric
1
0
3
minTpoints
numeric
1
0
2
n.studies
integer
1
0
3
ind.mod.List
list
0
0
nested
argumentList
list
14
0
nested·3 rows nested·20 cols
Element length
0 – 42
Total length
134
Nesting depth
4
Nested rows
3
What is inside it
Element
Type
Distinct
Missing
Summary
ctmaInitFit
character
42
0
61 – 102 characters
activateRPB
logical
1
0
0 true·1 false
activeDirectory
character
1
0
6 characters
checkSingleStudyResults
logical
1
0
0 true·1 false
cint
numeric
1
0
0
coresToUse
numeric
1
0
2
customPar
logical
1
0
0 true·1 false
digits
numeric
1
0
4
doPar
numeric
1
0
1
experimental
logical
1
0
0 true·1 false
indVarying
logical
1
0
0 true·1 false
indVaryingT0
logical
1
0
0 true·1 false
lambda
numeric
2
0
0 – 1·2 × 2 matrixmean 0.5
Min.
0
1st Qu.
0
Median
0.5
Mean
0.5
3rd Qu.
1
Max.
1
Std. dev
0.5774
Skewness
0
Kurtosis
-2.438
Zeros
2
manifestMeans
numeric
1
0
0
n.latent
numeric
1
0
2
n.manifest
numeric
1
0
0
optimize
logical
1
0
1 true·0 false
posLL
logical
1
0
1 true·0 false
primaryStudies
list
13
0
nested·3 rows nested·20 cols
Element length
0 – 20
Total length
88
Nesting depth
3
Nested rows
3
Every nested table has these 20 columns
  • Delta Lag 1
  • Delta Lag 2
  • N
  • r(Y1_T0) (Y2_T0)
  • r(Y1_T0) (Y1_T1)
  • r(Y1_T0) (Y2_T1)
  • r(Y1_T0) (Y1_T2)
  • r(Y1_T0) (Y2_T2)
  • r(Y2_T0) (Y1_T1)
  • r(Y2_T0) (Y2_T1)
  • r(Y2_T0) (Y1_T2)
  • r(Y2_T0) (Y2_T2)
  • r(Y1_T1) (Y2_T1)
  • r(Y1_T1) (Y1_T2)
  • r(Y1_T1) (Y2_T2)
  • r(Y2_T1) (Y1_T2)
  • r(Y2_T1) (Y2_T2)
  • r(Y1_T2) (Y2_T2)
  • Orig. Study No.
  • combineVariables 1
priors
logical
1
0
0 true·1 false
sameInitialTimes
logical
1
0
0 true·1 false
saveRawData
list
0
0
nested
silentOverwrite
logical
1
0
0 true·1 false
T0means
numeric
1
0
0
T0var
character
1
0
4 characters
useSV
logical
1
0
0 true·1 false
verbose
numeric
1
0
1
CoTiMAStanctArgs
list
14
0
nested
Element length
0 – 27
Total length
63
Nesting depth
3
Every nested table has these 20 columns
  • Delta Lag 1
  • Delta Lag 2
  • N
  • r(Y1_T0) (Y2_T0)
  • r(Y1_T0) (Y1_T1)
  • r(Y1_T0) (Y2_T1)
  • r(Y1_T0) (Y1_T2)
  • r(Y1_T0) (Y2_T2)
  • r(Y2_T0) (Y1_T1)
  • r(Y2_T0) (Y2_T1)
  • r(Y2_T0) (Y1_T2)
  • r(Y2_T0) (Y2_T2)
  • r(Y1_T1) (Y2_T1)
  • r(Y1_T1) (Y1_T2)
  • r(Y1_T1) (Y2_T2)
  • r(Y2_T1) (Y1_T2)
  • r(Y2_T1) (Y2_T2)
  • r(Y1_T2) (Y2_T2)
  • Orig. Study No.
  • combineVariables 1
modelResults
list
4
0
list
Element class
list
Element length
0 – 3
Total length
15
Nesting depth
2
What is inside it
Element
Type
Distinct
Missing
Summary
DRIFT
list
3
0
numeric
Element class
numeric
Element length
4 – 4
Total length
12
DIFFUSION
list
3
0
numeric
Element class
numeric
Element length
4 – 4
Total length
12
T0VAR
list
3
0
numeric
Element class
numeric
Element length
4 – 4
Total length
12
CINT
list
0
0
nested
DRIFToriginal_time_scale
list
3
0
numeric
Element class
numeric
Element length
4 – 4
Total length
12
DIFFUSIONoriginal_time_scale
list
3
0
numeric
Element class
numeric
Element length
4 – 4
Total length
12
parameterNames
list
3
0
character
Element class
character
Element length
4 – 4
Total length
12
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
13
0
nested
Element length
0 – 72
Total length
233
Nesting depth
3
What is inside it
Element
Type
Distinct
Missing
Summary
model
character
1
0
27 characters
estimates
character
24
0
6 – 22 characters
estimates_discrete
character
13
0
6 – 22 characters
scaleTime
numeric
1
0
1
randomIntercepts
list
1
0
list
Element class
list
Element length
3 – 3
Total length
39
Nesting depth
2
confidenceIntervals
numeric
60
0
-1.5233 – 2.4414·3 × 24 matrixmean 0.3385
Min.
-1.5233
1st Qu.
0.0077
Median
0.2271
Mean
0.3385
3rd Qu.
0.6661
Max.
2.4414
Std. dev
0.6284
Skewness
0.3674
Kurtosis
1.752
Outliers
53 low · 2 high
minus2ll
numeric
1
0
7137.72
n.parameters
numeric
1
0
30
drift_estimates_original_time_scale
character
24
0
6 – 22 characters
drift_CI_original_time_scale
numeric
24
0
-1.5233 – 0.6659·3 × 8 matrixmean -0.1708
Min.
-1.5233
1st Qu.
-0.241
Median
-0.0648
Mean
-0.1708
3rd Qu.
0.092
Max.
0.6659
Std. dev
0.4775
Skewness
-1.088
Kurtosis
1.161
Outliers
43 low · 1 high
diff_estimates_original_time_scale
character
19
0
6 – 22 characters
diff_CI_original_time_scale
numeric
18
0
0.0077 – 2.4414·3 × 8 matrixmean 0.4662
Min.
0.0077
1st Qu.
0.1318
Median
0.2271
Mean
0.4662
3rd Qu.
0.3569
Max.
2.4414
Std. dev
0.6451
Skewness
1.821
Kurtosis
2.12
Outliers
40 low · 4 high
estimationProblems
list
0
0
nested
excelSheets
Workbook
–
–
empty
Every nested table has these 20 columns
  • Delta Lag 1
  • Delta Lag 2
  • N
  • r(Y1_T0) (Y2_T0)
  • r(Y1_T0) (Y1_T1)
  • r(Y1_T0) (Y2_T1)
  • r(Y1_T0) (Y1_T2)
  • r(Y1_T0) (Y2_T2)
  • r(Y2_T0) (Y1_T1)
  • r(Y2_T0) (Y2_T1)
  • r(Y2_T0) (Y1_T2)
  • r(Y2_T0) (Y2_T2)
  • r(Y1_T1) (Y2_T1)
  • r(Y1_T1) (Y1_T2)
  • r(Y1_T1) (Y2_T2)
  • r(Y2_T1) (Y1_T2)
  • r(Y2_T1) (Y2_T2)
  • r(Y1_T2) (Y2_T2)
  • Orig. Study No.
  • combineVariables 1
Version history
VersionReleasedSizeChangeStored asConfidence
1.0.32026-07-2017 elementsUnchangedrda · xz
version 3 · 80 KB
exact
1.0.22025-08-2217 elementsUnchangedrda · xz
version 3 · 80 KB
exact
0.8.02024-04-2517 elementsData changed
Distinct 15 → 16
rda · xz
version 3 · 80 KB
exact
0.7.02023-12-1615 elementsUnchangedrda · xz
version 3 · 67 KB
exact
0.6.22022-11-0815 elementsUnchangedrda · xz
version 3 · 67 KB
exact
0.5.42022-01-2015 elementsUnchangedrda · xz
version 3 · 67 KB
exact
0.5.22021-12-0915 elementsData changed
Distinct 16 → 15
rda · xz
version 3 · 67 KB
exact
0.4.42021-10-1216 elementsUnchangedrda · xz
version 3 · 64 KB
exact
0.4.32021-09-0216 elementsUnchangedrda · xz
version 3 · 64 KB
exact
0.4.02021-05-2016 elementsUnchangedrda · xz
version 3 · 64 KB
exact
0.3.92021-04-1816 elementsUnchangedrda · xz
version 3 · 64 KB
exact
0.3.62021-03-1116 elements–rda · xz
version 3 · 64 KB
exact

Distinct is how many different values were counted in the object.

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