Home

Last updated: 2018-08-04

workflowr checks: (Click a bullet for more information)

✔ R Markdown file: up-to-date

Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.
✔ Repository version: 3cf1ff9
Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility. The version displayed above was the version of the Git repository at the time these results were generated.

Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:
```
Ignored files:
    Ignored:    .DS_Store
    Ignored:    .Rhistory
    Ignored:    .Rproj.user/
    Ignored:    data/
    Ignored:    docs/.DS_Store
    Ignored:    docs/images/.DS_Store
    Ignored:    docs/images/.Rapp.history
    Ignored:    output/.DS_Store
    Ignored:    output/.Rapp.history
    Ignored:    output/MASHvFLASHgtex/.DS_Store
    Ignored:    output/MASHvFLASHsims/.DS_Store
    Ignored:    output/MASHvFLASHsims/backfit/.DS_Store
    Ignored:    output/MASHvFLASHsims/backfit/.Rapp.history

Untracked files:
    Untracked:  analysis/OHFvTop20.Rmd
```
Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.

Expand here to see past versions:

File	Version	Author	Date	Message
Rmd	3cf1ff9	Jason Willwerscheid	2018-08-04	wflow_publish(c(“analysis/index.Rmd”))
html	592a427	Jason Willwerscheid	2018-08-03	Build site.
Rmd	0d2b9b5	Jason Willwerscheid	2018-08-03	wflow_publish(c(“analysis/index.Rmd”, “analysis/MASHvTop20.Rmd”))
html	9867668	Jason Willwerscheid	2018-08-03	Build site.
Rmd	5f31e16	Jason Willwerscheid	2018-08-03	wflow_publish(c(“analysis/index.Rmd”, “analysis/MASHvTop20.Rmd”))
html	e78875c	Jason Willwerscheid	2018-08-02	Build site.
Rmd	0e165ca	Jason Willwerscheid	2018-08-02	wflow_publish(c(“analysis/MASHvOHF.Rmd”, “analysis/index.Rmd”))
html	73c0870	Jason Willwerscheid	2018-08-02	Build site.
Rmd	1f33586	Jason Willwerscheid	2018-08-02	wflow_publish(“analysis/index.Rmd”)
html	7268602	Jason Willwerscheid	2018-08-01	Build site.
Rmd	ba83832	Jason Willwerscheid	2018-08-01	wflow_publish(“analysis/index.Rmd”)
html	c6f7e7a	Jason Willwerscheid	2018-07-31	Build site.
Rmd	9856748	Jason Willwerscheid	2018-07-31	wflow_publish(“analysis/index.Rmd”)
Rmd	816d03c	Jason Willwerscheid	2018-07-30	wflow_publish(“analysis/index.Rmd”)
Rmd	a5daba8	Jason Willwerscheid	2018-07-30	wflow_publish(c(“analysis/MASHvFLASHgtex.Rmd”,
html	0c59b6b	Jason Willwerscheid	2018-07-28	Build site.
Rmd	aee26f0	Jason Willwerscheid	2018-07-28	wflow_publish(“analysis/index.Rmd”)
html	7e833c1	Jason Willwerscheid	2018-07-28	Build site.
Rmd	a3d67a7	Jason Willwerscheid	2018-07-28	wflow_publish(“analysis/index.Rmd”)
html	76619ea	Jason Willwerscheid	2018-07-22	Build site.
Rmd	30e7d23	Jason Willwerscheid	2018-07-22	wflow_publish(c(“analysis/index.Rmd”,
html	fce2b77	Jason Willwerscheid	2018-07-22	Build site.
Rmd	302143d	Jason Willwerscheid	2018-07-22	wflow_publish(c(“analysis/index.Rmd”, “analysis/about.Rmd”))
html	f4ebd13	Jason Willwerscheid	2018-06-27	Build site.
Rmd	2ce499f	Jason Willwerscheid	2018-06-27	wflow_publish(c(“analysis/about.Rmd”, “analysis/index.Rmd”))
html	a9c6a2d	Jason Willwerscheid	2018-06-26	Build site.
Rmd	e6b255b	Jason Willwerscheid	2018-06-26	wflow_publish(“analysis/index.Rmd”)
html	07d1fc7	Jason Willwerscheid	2018-06-24	Build site.
Rmd	660d4c5	Jason Willwerscheid	2018-06-24	wflow_publish(c(“analysis/index.Rmd”))
html	97fa87c	Jason Willwerscheid	2018-06-24	Build site.
Rmd	42cd89c	Jason Willwerscheid	2018-06-24	wflow_publish(c(“analysis/MASHvFLASHsims2.Rmd”,
html	05ddaac	Jason Willwerscheid	2018-06-18	Build site.
Rmd	59c9e8e	Jason Willwerscheid	2018-06-18	wflow_publish(“analysis/index.Rmd”)
html	c7561ae	Jason Willwerscheid	2018-06-18	Build site.
Rmd	6422a12	Jason Willwerscheid	2018-06-18	wflow_publish(“analysis/index.Rmd”)
html	55504ec	Jason Willwerscheid	2018-06-16	Build site.
Rmd	94b77ff	Jason Willwerscheid	2018-06-16	wflow_publish(“analysis/index.Rmd”)
html	95f1aca	Jason Willwerscheid	2018-06-15	Build site.
Rmd	2052215	Jason Willwerscheid	2018-06-15	wflow_publish(“analysis/index.Rmd”)
html	958fa1e	Jason Willwerscheid	2018-06-11	Build site.
Rmd	99104f2	Jason Willwerscheid	2018-06-11	wflow_publish(“analysis/index.Rmd”)
html	a738d4a	Jason Willwerscheid	2018-06-09	Build site.
Rmd	6e63015	Jason Willwerscheid	2018-06-09	wflow_publish(“analysis/index.Rmd”)
html	53ca12c	Jason Willwerscheid	2018-06-09	initial setup
Rmd	3314e19	Jason Willwerscheid	2018-06-09	Start workflowr project.

An introductory vignette.

MASH v FLASH simulation results. Compares MASH and FLASH fits to data simulated from MASH and FLASH models.

MASH v FLASH detailed simulation study. Compares the performance of MASH and FLASH on different covariance structures in a single simulation setting.

MASH v FLASH analysis of GTEx data (strong tests). Compares MASH and FLASH fits to “strong” tests from the GTEx dataset.

MASH v FLASH analysis of GTEx data (random tests). Same, but uses random tests from the GTEx dataset.

MASH v FLASH workflows for GTEx. Proposes improved workflows to obtain MASH and FLASH fits to GTEx data. Describes the MASH fit and five different FLASH fits (“OHF”, “Top 5”, “Top 10”, “Top 20”, and “Zero”) in detail.

Next up are several analyses that examine individual tests in an effort to identify salient differences among fits:

This reproducible R Markdown analysis was created with workflowr 1.0.1