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681 to 690 of 695 Results

creating-models.Rmd May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Unknown - 4.7 KB - MD5: 9667b25fee28d4bc168eb9e58419c69e R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- shows code for using `beset` to run best subsets models.
data distributions.Rmd May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Unknown - 7.1 KB - MD5: fb6a395a4c46be639a0e2783a0b47bd9 R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- compares theoretical data distributions.
ddm-data.tab May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Tabular Data - 159.6 KB - 19 Variables, 1240 Observations - UNF:6:KA+ztgowS0ja8kM0NNyTPg== .Rdata file used for comparing test-retest reliability.
exploring models.Rmd May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Unknown - 16.5 KB - MD5: b2758f6c8ac60aa9009b1177125d54cb R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- explores best subsets models.
model_summaries.Rdata May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression R Data - 64.8 MB - MD5: 6edd5b9c8db48cabe33e4b35a87f28db .Rdata file with model summaries.
mtmodel-all.tab May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Tabular Data - 6.6 KB - 19 Variables, 55 Observations - UNF:6:JZPeheb6xUDrNUBu7EY2Mw== .Rdata file with MTurk best subsets model.
mturkers.tab May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Tabular Data - 8.1 KB - 21 Variables, 55 Observations - UNF:6:A9tIMvDsW+U3NvjdOMEjyA== .Rdata file used for creating models.
repeated-measures.tab May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Tabular Data - 80.5 KB - 37 Variables, 334 Observations - UNF:6:ri0sAlh2J8lGMtf35Rmixw== .Rdata file used for comparing test-retest reliability.
specific_models.Rmd May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Unknown - 10.5 KB - MD5: 5e701ebee8c943e1106a4f677ad9d003 R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- creates and compares targeted models.
SRET reliability.Rmd May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression Unknown - 38.6 KB - MD5: 33472711bdb8bac29530e9ef86f0c41f R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- compares internal reliability.

creating-models.Rmd

May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

Unknown - 4.7 KB -

R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- shows code for using `beset` to run best subsets models.

data distributions.Rmd

May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

Unknown - 7.1 KB -

R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- compares theoretical data distributions.

ddm-data.tab

May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

Tabular Data - 159.6 KB - 19 Variables, 1240 Observations -

.Rdata file used for comparing test-retest reliability.

exploring models.Rmd

May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

Unknown - 16.5 KB -

R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- explores best subsets models.

model_summaries.Rdata

May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

R Data - 64.8 MB -

.Rdata file with model summaries.

mtmodel-all.tab

May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

Tabular Data - 6.6 KB - 19 Variables, 55 Observations -

.Rdata file with MTurk best subsets model.

mturkers.tab

May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

Tabular Data - 8.1 KB - 21 Variables, 55 Observations -

.Rdata file used for creating models.

repeated-measures.tab

May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

Tabular Data - 80.5 KB - 37 Variables, 334 Observations -

.Rdata file used for comparing test-retest reliability.

specific_models.Rmd

May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

Unknown - 10.5 KB -

R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- creates and compares targeted models.

SRET reliability.Rmd

May 25, 2017 - Replication data and code for: Determining optimal parameters of the Self Referent Encoding Task: A large-scale examination of self-referent cognition and depression

Unknown - 38.6 KB -

R Markdown (.Rmd) file containing code and explanations. Used for creating HTML files at https://jdbest.github.io/sretmodels -- compares internal reliability.

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