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CoTiMAFullFit_6_new

ctmaFit-object with a 'full' CoTiMA of 6 studies

Bundled with CoTiMA · exported, loads via data()

Class
CoTiMAFit
Elements
11
Missing
0
Format
rda · xz
version 3 · 82 KB
File
data/CoTiMAFullFit_6_new.rda
Fingerprint
2316d9a3
Format documented
Yes
Source
Source not stated
Structure
Distinct
11
Nesting depth
5
Element length
0 – 48
Total length
100
Nested rows
76
Nested columns
41
Nested schema
varies between elements
Elements
Element
Type
Distinct
Missing
Summary
plot.type
character
1
0
5 characters
model.type
character
1
0
6 characters
n.studies
numeric
1
0
1
n.latent
numeric
1
0
2
n.moderators
integer
1
0
0
argumentList
list
14
0
nested·6 rows nested·41 cols
Element length
0 – 37
Total length
96
Nesting depth
4
Nested rows
6
What is inside it
Element
Type
Distinct
Missing
Summary
ctmaInitFit
character
1
0
19 characters
primaryStudyList
list
23
0
nested·6 rows nested·41 cols
Element length
0 – 41
Total length
186
Nesting depth
3
Nested rows
6
Every nested table has these 41 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
  • 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
  • Variable 1
  • Variable 2
  • Variable 3
  • Variable 4
  • Variable 5
  • Variable 6
  • combineVariables 1
  • demands
  • burnout
  • burnout
activeDirectory
character
1
0
6 characters
activateRPB
logical
1
0
0 true·1 false
digits
numeric
1
0
4
ind.mod.type
character
1
0
4 characters
mod.type
character
1
0
4 characters
indVarying
logical
1
0
0 true·1 false
coresToUse
numeric
1
0
3
scaleTI
logical
1
0
1 true·0 false
scaleMod
logical
1
0
1 true·0 false
sameInitialTimes
logical
1
0
0 true·1 false
scaleClus
logical
1
0
1 true·0 false
scaleTime
numeric
1
0
1
optimize
logical
1
0
1 true·0 false
verbose
numeric
1
0
1
allInvModel
logical
1
0
0 true·1 false
customPar
logical
1
0
0 true·1 false
T0means
numeric
1
0
0
manifestMeans
numeric
1
0
0
WEC
logical
1
0
0 true·1 false
randomIntercepts
logical
1
0
0 true·1 false
CoTiMAStanctArgs
list
14
0
nested
Element length
0 – 27
Total length
63
Nesting depth
3
T0var
character
1
0
4 characters
priors
logical
1
0
0 true·1 false
binaries
numeric
1
0
0
T0var
character
1
0
4 characters
cint
numeric
1
0
0
indVaryingT0
logical
1
0
0 true·1 false
fit
logical
1
0
1 true·0 false
Every nested table has these 41 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
  • 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
  • Variable 1
  • Variable 2
  • Variable 3
  • Variable 4
  • Variable 5
  • Variable 6
  • combineVariables 1
  • demands
  • burnout
  • burnout
modelResults
list
6
0
nested
Element length
0 – 4
Total length
22
Nesting depth
2
What is inside it
Element
Type
Distinct
Missing
Summary
DRIFToriginal_time_scale
numeric
4
0
-0.2013 – 0.0489mean -0.0718
Min.
-0.2013
1st Qu.
-0.1749
Median
-0.0673
Mean
-0.0718
3rd Qu.
0.0358
Max.
0.0489
Std. dev
0.1302
Skewness
-0.0177
Kurtosis
-2.404
DIFFUSIONoriginal_time_scale
numeric
3
0
0.1116 – 0.4268mean 0.259
Min.
0.1116
1st Qu.
0.1116
Median
0.2488
Mean
0.259
3rd Qu.
0.3962
Max.
0.4268
Std. dev
0.171
Skewness
0.0184
Kurtosis
-2.416
T0VAR
numeric
3
0
0.4286 – 0.9993mean 0.7135
Min.
0.4286
1st Qu.
0.4286
Median
0.713
Mean
0.7135
3rd Qu.
0.9979
Max.
0.9993
Std. dev
0.3289
Skewness
0
Kurtosis
-2.438
CINT
numeric
1
0
0
DRIFT
numeric
4
0
-0.2013 – 0.0489mean -0.0718
Min.
-0.2013
1st Qu.
-0.1749
Median
-0.0673
Mean
-0.0718
3rd Qu.
0.0358
Max.
0.0489
Std. dev
0.1302
Skewness
-0.0177
Kurtosis
-2.404
DIFFUSION
numeric
3
0
0.1116 – 0.4268mean 0.259
Min.
0.1116
1st Qu.
0.1116
Median
0.2488
Mean
0.259
3rd Qu.
0.3962
Max.
0.4268
Std. dev
0.171
Skewness
0.0184
Kurtosis
-2.416
DRIFTCoeffViaWECMean
list
0
0
nested
DRIFTCoeffViaWECSD
list
0
0
nested
ctModel
list
17
0
nested·26 rows nested·13 cols
Element length
0 – 13
Total length
37
Nesting depth
2
Nested rows
26
What is inside it
Element
Type
Distinct
Missing
Summary
pars
list
9
0
nested
Element length
26 – 26
Total length
338
n.latent
numeric
1
0
2
n.manifest
numeric
1
0
2
n.TIpred
numeric
1
0
5
n.TDpred
numeric
1
0
0
latentNames
character
2
0
4 characters
manifestNames
character
2
0
2 characters
TIpredNames
character
5
0
3 characters
subjectIDname
character
1
0
2 characters
timeName
character
1
0
4 characters
continuoustime
logical
1
0
1 true·0 false
tipredeffectscale
numeric
1
0
1
tipredsimputedscale
numeric
1
0
1
rawpopsdbase
character
1
0
11 characters
rawpopsdbaselowerbound
logical
0
1
0 true·0 false
rawpopsdtransform
character
1
0
38 characters
manifesttype
numeric
1
0
0
covmattransform
character
1
0
7 characters
Every nested table has these 13 columns
  • matrix
  • row
  • col
  • param
  • value
  • transform
  • indvarying
  • sdscale
  • TI1_effect
  • TI2_effect
  • TI3_effect
  • TI4_effect
  • TI5_effect
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
11
0
nested·44 rows nested·8 cols
Element length
0 – 8
Total length
33
Nesting depth
2
Nested rows
44
What is inside it
Element
Type
Distinct
Missing
Summary
model
character
1
0
24 characters
scaledTime
numeric
1
0
1
estimates
list
8
0
nested
Element length
36 – 36
Total length
288
randomIntercepts
character
1
0
14 characters
minus2ll
numeric
1
0
25440.1
n.parameters
integer
1
0
40
opt.lag.orig.time
numeric
1
2
6·2 × 2 matrix
opt.lag.scaled.time
numeric
1
2
6·2 × 2 matrix
max.effects
numeric
2
2
0.0633 – 0.0985·2 × 2 matrixmean 0.0809
Min.
0.0633
1st Qu.
0.0721
Median
0.0809
Mean
0.0809
3rd Qu.
0.0897
Max.
0.0985
Std. dev
0.0249
Order
descending
estimates_original_time_scale
list
8
0
nested
Element length
8 – 8
Total length
64
Every nested table has these 8 columns
  • row
  • col
  • Mean
  • sd
  • 2.5%
  • 50%
  • 97.5%
  • Tvalues
excelSheets
Workbook
–
–
empty

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

Version history
VersionReleasedSizeChangeStored asConfidence
1.0.32026-07-2011 elementsUnchangedrda · xz
version 3 · 82 KB
exact
1.0.22025-08-2211 elementsUnchangedrda · xz
version 3 · 82 KB
exact
0.8.02024-04-2511 elementsData changed
Distinct 13 → 11
rda · xz
version 3 · 82 KB
exact
0.7.02023-12-1613 elementsUnchangedrda · xz
version 3 · 61 KB
exact
0.6.22022-11-0813 elementsUnchangedrda · xz
version 3 · 61 KB
exact
0.5.42022-01-2013 elementsUnchangedrda · xz
version 3 · 61 KB
exact
0.5.22021-12-0913 elements–rda · xz
version 3 · 61 KB
exact

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

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