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CoTiMAInitFit_6

ctmaInit-object with 6 primary studies

Bundled with CoTiMA · exported, loads via data()

Class
CoTiMAFit
Elements
18
Missing
0
Format
rda · xz
version 3 · 74 KB
File
data/CoTiMAInitFit_6.rda
Fingerprint
52265948
Format documented
Yes
Source
Source not stated
Structure
Distinct
18
Nesting depth
5
Element length
0 – 38
Total length
125
Nested rows
12
Nested columns
62
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
1
n.studies
integer
1
0
6
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
28
0
nested·6 rows nested·62 cols
Element length
0 – 62
Total length
207
Nesting depth
3
Nested rows
6
What is inside it
Element
Type
Distinct
Missing
Summary
deltas
list
4
0
numeric
Element class
numeric
Element length
1 – 2
Total length
7
sampleSizes
list
6
0
numeric
Element class
numeric
Element length
1 – 1
Total length
6
pairwiseNs
list
2
0
nested
Element length
0 – 16
Total length
16
empcovs
list
6
0
numeric
Element class
numeric
Element length
16 – 36
Total length
116
moderators
list
5
0
numeric
Element class
numeric
Element length
2 – 2
Total length
12
startValues
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
6
studyNumbers
list
6
0
numeric
Element class
numeric
Element length
1 – 1
Total length
6
rawData
list
1
0
list
Element class
list
Element length
8 – 8
Total length
48
Nesting depth
2
empMeans
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
6
empVars
list
1
0
logical
Element class
logical
Element length
1 – 1
Total length
6
source
list
6
0
character
Element class
character
Element length
4 – 6
Total length
29
ageM
list
6
0
numeric
Element class
numeric
Element length
1 – 1
Total length
6
malePercent
list
6
0
numeric
Element class
numeric
Element length
1 – 1
Total length
6
occupation
list
6
0
character
Element class
character
Element length
1 – 1
Total length
6
country
list
4
0
character
Element class
character
Element length
1 – 1
Total length
6
alphas
list
2
0
nested
Element length
1 – 9
Total length
14
targetVariables
list
4
0
nested
Element length
1 – 7
Total length
23
recodeVariables
list
2
0
nested
Element length
1 – 2
Total length
7
combineVariables
list
2
0
nested
Element length
1 – 3
Total length
8
combineVariablesNames
list
2
0
nested
Element length
1 – 3
Total length
8
missingVariables
list
2
0
nested
Element length
1 – 1
Total length
6
demands
list
4
0
character
Element class
character
Element length
1 – 1
Total length
6
burnout
list
5
0
character
Element class
character
Element length
1 – 2
Total length
9
n.studies
integer
1
0
6
summary
list
55
0
character
Element class
character
Element length
6 – 6
Total length
372
moderatorLabels
character
2
0
15 characters
moderatorValues
list
2
0
character
Element class
character
Element length
1 – 2
Total length
3
plot.type
character
1
0
4 characters
activeDirectory
character
1
0
6 characters
Every nested table has these 50 columns
  • Source Info 1
  • Source Info 2
  • Source Info 3
  • Source Info 4
  • Source Info 5
  • Source Info 6
  • Delta Lag 1
  • Delta Lag 2
  • N
  • N(Y1_T0) (Y2_T0)
  • N(Y1_T0) (Y1_T1)
  • N(Y1_T0) (Y2_T1)
  • N(Y1_T0) (Y1_T2)
  • N(Y1_T0) (Y2_T2)
  • N(Y2_T0) (Y1_T1)
  • 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)
  • Moderator # 1
  • Moderator # 2
  • Orig. Study No.
  • ageM
  • malePercent
  • Occupation 1
  • Country 1
  • alpha Y1_T0
  • alpha Y2_T0
  • alpha Y1_T1
  • alpha Y2_T1
  • alpha Y1_T2
  • alpha Y2_T2
  • Variable 1
  • Variable 2
  • Variable 3
  • Variable 4
  • Variable 5
  • Variable 6
  • Variable 7
studyList
list
6
0
list
Element class
list
Element length
12 – 12
Total length
72
Nesting depth
3
What is inside it
Element
Type
Distinct
Missing
Summary
[[1]]
list
12
0
nested
Element length
0 – 16
Total length
34
Nesting depth
2
[[2]]
list
11
0
nested
Element length
0 – 16
Total length
34
Nesting depth
2
[[3]]
list
12
0
nested
Element length
0 – 36
Total length
55
Nesting depth
2
[[4]]
list
12
0
nested
Element length
1 – 16
Total length
50
Nesting depth
2
[[5]]
list
12
0
nested
Element length
0 – 16
Total length
34
Nesting depth
2
[[6]]
list
11
0
nested
Element length
0 – 16
Total length
34
Nesting depth
2
statisticsList
list
15
0
nested
Element length
1 – 7
Total length
37
What is inside it
Element
Type
Distinct
Missing
Summary
originalStudyNumbers
numeric
6
0
1 – 313mean 82.67
Min.
1
1st Qu.
7.5
Median
25
Mean
82.6667
3rd Qu.
104
Max.
313
Std. dev
122.242
Skewness
0.9928
Kurtosis
-0.8162
Outliers
10 low · 1 high
allSampleSizes
numeric
6
0
72.3951 – 433mean 208.4
Min.
72.3951
1st Qu.
103
Median
161
Mean
208.399
3rd Qu.
294.75
Max.
433
Std. dev
144.428
Skewness
0.4889
Kurtosis
-1.71
overallSampleSize
integer
1
0
1266
meanSampleSize
numeric
1
0
208.399
maxSampleSize
numeric
1
0
433
minSampleSize
numeric
1
0
72.3951
allDeltas
numeric
4
0
0.5 – 3mean 1.929
Min.
0.5
1st Qu.
1
Median
2
Mean
1.9286
3rd Qu.
3
Max.
3
Std. dev
1.1339
Skewness
-0.2175
Kurtosis
-1.936
meanDelta
numeric
1
0
1.9286
maxDelta
numeric
1
0
3
minDelta
numeric
1
0
0.5
allTpoints
numeric
2
0
2 – 3mean 2.167
Min.
2
1st Qu.
2
Median
2
Mean
2.1667
3rd Qu.
2
Max.
3
Std. dev
0.4082
Skewness
1.361
Kurtosis
-0.0833
overallTpoints
numeric
1
0
13
meanTpoints
numeric
1
0
2.1667
maxTpoints
numeric
1
0
3
minTpoints
numeric
1
0
2
n.studies
integer
1
0
6
ind.mod.List
list
0
0
nested
argumentList
list
14
0
nested·6 rows nested·62 cols
Element length
0 – 142
Total length
236
Nesting depth
4
Nested rows
6
What is inside it
Element
Type
Distinct
Missing
Summary
ctmaInitFit
character
139
0
61 – 94 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
1
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
28
0
nested·6 rows nested·62 cols
Element length
0 – 62
Total length
207
Nesting depth
3
Nested rows
6
Every nested table has these 50 columns
  • Source Info 1
  • Source Info 2
  • Source Info 3
  • Source Info 4
  • Source Info 5
  • Source Info 6
  • Delta Lag 1
  • Delta Lag 2
  • N
  • N(Y1_T0) (Y2_T0)
  • N(Y1_T0) (Y1_T1)
  • N(Y1_T0) (Y2_T1)
  • N(Y1_T0) (Y1_T2)
  • N(Y1_T0) (Y2_T2)
  • N(Y2_T0) (Y1_T1)
  • 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)
  • Moderator # 1
  • Moderator # 2
  • Orig. Study No.
  • ageM
  • malePercent
  • Occupation 1
  • Country 1
  • alpha Y1_T0
  • alpha Y2_T0
  • alpha Y1_T1
  • alpha Y2_T1
  • alpha Y1_T2
  • alpha Y2_T2
  • Variable 1
  • Variable 2
  • Variable 3
  • Variable 4
  • Variable 5
  • Variable 6
  • Variable 7
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 50 columns
  • Source Info 1
  • Source Info 2
  • Source Info 3
  • Source Info 4
  • Source Info 5
  • Source Info 6
  • Delta Lag 1
  • Delta Lag 2
  • N
  • N(Y1_T0) (Y2_T0)
  • N(Y1_T0) (Y1_T1)
  • N(Y1_T0) (Y2_T1)
  • N(Y1_T0) (Y1_T2)
  • N(Y1_T0) (Y2_T2)
  • N(Y2_T0) (Y1_T1)
  • 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)
  • Moderator # 1
  • Moderator # 2
  • Orig. Study No.
  • ageM
  • malePercent
  • Occupation 1
  • Country 1
  • alpha Y1_T0
  • alpha Y2_T0
  • alpha Y1_T1
  • alpha Y2_T1
  • alpha Y1_T2
  • alpha Y2_T2
  • Variable 1
  • Variable 2
  • Variable 3
  • Variable 4
  • Variable 5
  • Variable 6
  • Variable 7
modelResults
list
4
0
list
Element class
list
Element length
0 – 6
Total length
30
Nesting depth
2
What is inside it
Element
Type
Distinct
Missing
Summary
DRIFT
list
6
0
numeric
Element class
numeric
Element length
4 – 4
Total length
24
DIFFUSION
list
6
0
numeric
Element class
numeric
Element length
4 – 4
Total length
24
T0VAR
list
6
0
numeric
Element class
numeric
Element length
4 – 4
Total length
24
CINT
list
0
0
nested
DRIFToriginal_time_scale
list
6
0
numeric
Element class
numeric
Element length
4 – 4
Total length
24
DIFFUSIONoriginal_time_scale
list
6
0
numeric
Element class
numeric
Element length
4 – 4
Total length
24
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 – 144
Total length
450
Nesting depth
3
What is inside it
Element
Type
Distinct
Missing
Summary
model
character
1
0
27 characters
estimates
character
54
0
4 – 72 characters
estimates_discrete
character
30
0
5 – 72 characters
scaleTime
numeric
1
0
1
randomIntercepts
list
1
0
list
Element class
list
Element length
6 – 6
Total length
78
Nesting depth
2
confidenceIntervals
numeric
119
0
-33.5799 – 6099.33·6 × 24 matrixmean 42.48
Min.
-33.5799
1st Qu.
-0.0005
Median
0.2463
Mean
42.4781
3rd Qu.
0.6582
Max.
6099.33
Std. dev
508.289
Skewness
11.75
Kurtosis
137
Zeros
2
Outliers
137 low · 6 high
minus2ll
numeric
1
0
13494.5
n.parameters
numeric
1
0
60
drift_estimates_original_time_scale
character
54
0
4 – 72 characters
drift_CI_original_time_scale
numeric
48
0
-33.5799 – 3.4556·6 × 8 matrixmean -0.8422
Min.
-33.5799
1st Qu.
-0.2735
Median
-0.0647
Mean
-0.8422
3rd Qu.
0.0826
Max.
3.4556
Std. dev
4.9031
Skewness
-6.189
Kurtosis
38.42
Zeros
1
Outliers
75 low · 2 high
diff_estimates_original_time_scale
character
42
0
5 – 72 characters
diff_CI_original_time_scale
numeric
36
0
-20.2617 – 6099.33·6 × 8 matrixmean 127.5
Min.
-20.2617
1st Qu.
0.0748
Median
0.2242
Mean
127.526
3rd Qu.
0.4084
Max.
6099.33
Std. dev
880.319
Skewness
6.501
Kurtosis
41.12
Zeros
1
Outliers
102 low · 8 high
estimationProblems
character
1
0
61 characters
excelSheets
Workbook
–
–
empty
studyFitList
list
1
0
list
Element class
list
Element length
1 – 1
Total length
1
Nesting depth
3
What is inside it
Element
Type
Distinct
Missing
Summary
[[1]]
list
1
0
list
Element class
list
Element length
1 – 1
Total length
1
Nesting depth
2
Every nested table has these 50 columns
  • Source Info 1
  • Source Info 2
  • Source Info 3
  • Source Info 4
  • Source Info 5
  • Source Info 6
  • Delta Lag 1
  • Delta Lag 2
  • N
  • N(Y1_T0) (Y2_T0)
  • N(Y1_T0) (Y1_T1)
  • N(Y1_T0) (Y2_T1)
  • N(Y1_T0) (Y1_T2)
  • N(Y1_T0) (Y2_T2)
  • N(Y2_T0) (Y1_T1)
  • 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)
  • Moderator # 1
  • Moderator # 2
  • Orig. Study No.
  • ageM
  • malePercent
  • Occupation 1
  • Country 1
  • alpha Y1_T0
  • alpha Y2_T0
  • alpha Y1_T1
  • alpha Y2_T1
  • alpha Y1_T2
  • alpha Y2_T2
  • Variable 1
  • Variable 2
  • Variable 3
  • Variable 4
  • Variable 5
  • Variable 6
  • Variable 7
Version history
VersionReleasedSizeChangeStored asConfidence
1.0.32026-07-2018 elementsUnchangedrda · xz
version 3 · 74 KB
exact
1.0.22025-08-2218 elementsUnchangedrda · xz
version 3 · 74 KB
exact
0.8.02024-04-2518 elementsData changed
Distinct 17 → 18
rda · xz
version 3 · 74 KB
exact
0.7.02023-12-1617 elementsUnchangedrda · xz
version 3 · 89 KB
exact
0.6.22022-11-0817 elementsUnchangedrda · xz
version 3 · 89 KB
exact
0.5.42022-01-2017 elementsUnchangedrda · xz
version 3 · 89 KB
exact
0.5.22021-12-0917 elementsData changed
Distinct 18 → 17
rda · xz
version 3 · 89 KB
exact
0.4.42021-10-1218 elementsUnchangedrda · xz
version 3 · 132 KB
exact
0.4.32021-09-0218 elementsUnchangedrda · xz
version 3 · 132 KB
exact
0.4.02021-05-2018 elementsUnchangedrda · xz
version 3 · 132 KB
exact
0.3.92021-04-1818 elementsUnchangedrda · xz
version 3 · 132 KB
exact
0.3.62021-03-1118 elements–rda · xz
version 3 · 132 KB
exact

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

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