This tutorial assumes that you have basic familiarity with {drake}, as most of the patterns shown here build off of drake workflow practices.
We start by building our plan. Imagine that we have the mtcars dataset, & we want to run some models on it.
Take note of the desc argument provided the mtcars target. This allows us to write a markdown description for a target.
# This is where you set up your workflow plan, # a data frame with the steps of your analysis. my_plan <- drake::drake_plan( report = knit(knitr_in("mtcars/report.Rmd"), file_out("mtcars/report.md"), quiet = TRUE), small = simulate(48), large = simulate(64), regression1 = target( reg1(data), transform = map(data = c(small, large), .tag_out = reg, .tag_in = cluster_id) ), regression2 = target( reg2(data), transform = map(data, .tag_out = reg, .tag_in = cluster_id) ), summ = target( suppressWarnings(summary(reg$residuals)), transform = map(reg, .tag_in = cluster_id) ), coef = target( suppressWarnings(summary(reg))$coefficients, transform = map(reg, .tag_in = cluster_id) ), mtcars = target( mtcars, desc = " **This dataframe describes a bunch of cars that go vroom!** I can't drive but one day I will learn " ), mtcars_summary = target({ out <- mtcars %>% dplyr::group_by(cyl) %>% dplyr::summarise(dplyr::across(c(disp, hp, drat, wt, qsec), mean)) out }, desc = " **Average of attributes of cars according to number of cylinders** This dataframe relates `cyl` (number of cylinders) to a few properties of mtcars " ), trace = TRUE )
Let’s examine our plan as a dataframe:
Now, let’s build it.
cache <- drake::get_cache() #> Warning: get_cache() is deprecated. Use drake_cache() instead. my_config <- drake_config(my_plan) drake::make(config = my_config) #> All targets are already up to date.
Usually, this is where drake’s job is done, but mandrake extends this a little, & lets us access documentation for this dataset directly from the workflow graph.
We load the column specification for mandrake.
lookup_cache <- mandrake::load_package_colspec("mandrake") #> Adding cols from mandrake to lookup cache #> Including mandrake.yaml in lookup cache
By default, this is found at {pkgname}/inst/{pkgname}.yaml, and generated using the * #' @col & * #' @inheritCol roxygen2 tags.
Examining this yields:
am:
name: am
direction: out
aliases: []
body: |-
Logical, is this car okay to use in the morning, or should you save it for
after midday?
rd: |-
Logical, is this car okay to use in the morning, or should you save it for
after midday?
html:
- Logical, is this car okay to use in the morning, or should you save it for
- after midday?
topic: mtcars_dataset
package: mandrake
rd_ref: \code{\link[mandrake:mtcars_dataset]{mandrake::mtcars_dataset}}
html_ref: <code><a href='https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>
'...': '...more column specs...'
'y':
name: 'y'
direction: out
aliases: []
body: if requested, the response used.
rd: if requested, the response used.
html: if requested, the response used.
topic: lm_object
package: mandrake
rd_ref: \code{\link[mandrake:lm_object]{mandrake::lm_object}}
html_ref: <code><a href='https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>plan_extracted <- my_plan %>% mandrake::decorate_plan(cache, group = "cluster_id", lookup_cache = lookup_cache)
plan_extracted %>% dplyr::mutate(dplyr::across("command", rlang::as_label)) %>% knitr::kable("html", escape = TRUE) %>% kableExtra::kable_styling(c("striped", "responsive", "condensed"))
| target | command | desc | data | regression1 | cluster_id | reg | regression2 | summ | coef |
|---|---|---|---|---|---|---|---|---|---|
| coef_regression1_small | <list> | {“target”:“coef_regression1_small”,“command”:“<pre class=‘downlit’><span class=‘nf’><a href=‘https://rdrr.io/r/base/warning.html'>suppressWarnings<\/a><\/span><span class=’o’>(</span><span class=‘nf’><a href=‘https://rdrr.io/r/base/summary.html'>summary<\/a><\/span><span class=’o’>(</span><span class=‘nv’>regression1_small</span><span class=‘o’>)</span><span class=‘o’>)</span><span class=‘o’>\(<\/span><span class='nv'>coefficients<\/span><\/pre>","descripton":"NA","column_descriptions":[{}]} </td> <td style="text-align:left;"> small </td> <td style="text-align:left;"> regression1_small </td> <td style="text-align:left;"> coef </td> <td style="text-align:left;"> regression1_small </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> coef_regression1_small </td> </tr> <tr> <td style="text-align:left;"> coef_regression1_large </td> <td style="text-align:left;"> <list> </td> <td style="text-align:left;"> {"target":"coef_regression1_large","command":"<pre class='downlit'>\n<span class='nf'><a href='https://rdrr.io/r/base/warning.html'>suppressWarnings<\/a><\/span><span class='o'>(<\/span><span class='nf'><a href='https://rdrr.io/r/base/summary.html'>summary<\/a><\/span><span class='o'>(<\/span><span class='nv'>regression1_large<\/span><span class='o'>)<\/span><span class='o'>)<\/span><span class='o'>\)</span><span class=‘nv’>coefficients</span></pre>”,“descripton”:“NA”,“column_descriptions”:[{}]} | large | regression1_large | coef | regression1_large | NA | NA | coef_regression1_large |
| coef_regression2_small | <list> | {“target”:“coef_regression2_small”,“command”:“<pre class=‘downlit’><span class=‘nf’><a href=‘https://rdrr.io/r/base/warning.html'>suppressWarnings<\/a><\/span><span class=’o’>(</span><span class=‘nf’><a href=‘https://rdrr.io/r/base/summary.html'>summary<\/a><\/span><span class=’o’>(</span><span class=‘nv’>regression2_small</span><span class=‘o’>)</span><span class=‘o’>)</span><span class=‘o’>\(<\/span><span class='nv'>coefficients<\/span><\/pre>","descripton":"NA","column_descriptions":[{}]} </td> <td style="text-align:left;"> small </td> <td style="text-align:left;"> regression1_small </td> <td style="text-align:left;"> coef </td> <td style="text-align:left;"> regression2_small </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> coef_regression2_small </td> </tr> <tr> <td style="text-align:left;"> coef_regression2_large </td> <td style="text-align:left;"> <list> </td> <td style="text-align:left;"> {"target":"coef_regression2_large","command":"<pre class='downlit'>\n<span class='nf'><a href='https://rdrr.io/r/base/warning.html'>suppressWarnings<\/a><\/span><span class='o'>(<\/span><span class='nf'><a href='https://rdrr.io/r/base/summary.html'>summary<\/a><\/span><span class='o'>(<\/span><span class='nv'>regression2_large<\/span><span class='o'>)<\/span><span class='o'>)<\/span><span class='o'>\)</span><span class=‘nv’>coefficients</span></pre>”,“descripton”:“NA”,“column_descriptions”:[{}]} | large | regression1_large | coef | regression2_large | NA | NA | coef_regression2_large |
| large | <list> | {“target”:“large”,“command”:“<pre class=‘downlit’><span class=‘nf’><a href=‘https://rdrr.io/r/stats/simulate.html'>simulate<\/a><\/span><span class=’o’>(</span><span class=‘m’>64</span><span class=‘o’>)</span></pre>”,“descripton”:“NA”,“column_descriptions”:[[{“name”:“x”,“description”:“if requested, the model matrix used.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“y”,“description”:“if requested, the response used.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”}]]} | NA | NA | NA | NA | NA | NA | NA |
| mtcars | <list> | {“target”:“mtcars”,“command”:“<pre class=‘downlit’><span class=‘nv’>mtcars</span></pre>”,“descripton”:“<strong>This dataframe describes a bunch of cars that go vroom!</strong><br><br>I can’t drive but one day I will learn”,“column_descriptions”:[[{“name”:“mpg”,“description”:“Numeric.<br><code>mpg</code> or "Miles Per Gallon" is how many miles you can drive on<br>a gallon of fuel.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”},{“name”:“cyl”,“description”:“Integer<br>Number of cylinders<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”},{“name”:“disp”,“description”:“Integer.<br>I literally don’t know what this means<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”},{“name”:“hp”,“description”:“Integer<br>Horsepower is a measure of the number of miniature horses this car<br>can fit inside itself, which run on a treadmill that make it go fast.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”},{“name”:“drat”,“description”:“Numeric<br>This is a word you say when something doesn’t go the way you hoped.<br><strong>Drat!</strong><br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”},{“name”:“wt”,“description”:“Numeric<br>Stands for "What the…" - An exclamation of surprise!<br><br>Or <strong>weight</strong>, maybe.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”},{“name”:“qsec”,“description”:“Numeric.<br>Number of seconds you need to line up in a queue in order to buy this car.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”},{“name”:“vs”,“description”:“Logical, Does the car ever compete?<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”},{“name”:“am”,“description”:“Logical, is this car okay to use in the morning, or should you save it for<br>after midday?<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”},{“name”:“gear”,“description”:“Integer,<br><br>How many different gears transmissions does this car have.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”},{“name”:“carb”,“description”:“Integer, Number of grams of carbohydrates contained in this car.<br>Typically pretty low, as cars are not particularly nutritious.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”}]]} | NA | NA | NA | NA | NA | NA | NA |
| mtcars_summary | <list> | {“target”:“mtcars_summary”,“command”:“<pre class=‘downlit’><span class=‘o’>{</span><span class=‘nv’>out</span> <span class=‘o’><-</span> <span class=‘nv’>mtcars</span> <span class=‘o’>%>%</span><span class=‘nf’>dplyr</span><span class=‘nf’>::</span><span class=‘nf’><a href=‘https://dplyr.tidyverse.org/reference/group_by.html'>group_by<\/a><\/span><span class=’o’>(</span><span class=‘nv’>cyl</span><span class=‘o’>)</span> <span class=‘o’>%>%</span><span class=‘nf’>dplyr</span><span class=‘nf’>::</span><span class=‘nf’><a href=‘https://dplyr.tidyverse.org/reference/summarise.html'>summarise<\/a><\/span><span class=’o’>(</span><span class=‘nf’>dplyr</span><span class=‘nf’>::</span><span class=‘nf’><a href=‘https://dplyr.tidyverse.org/reference/across.html'>across<\/a><\/span><span class=’o’>(</span><span class=‘nf’><a href=‘https://rdrr.io/r/base/c.html'>c<\/a><\/span><span class=’o’>(</span><span class=‘nv’>disp</span>, <span class=‘nv’>hp</span>, <span class=‘nv’>drat</span>, <span class=‘nv’>wt</span>, <span class=‘nv’>qsec</span><span class=‘o’>)</span>, <span class=‘nv’>mean</span><span class=‘o’>)</span><span class=‘o’>)</span><span class=‘nv’>out</span><span class=‘o’>}</span></pre>”,“descripton”:“<strong>Average of attributes of cars according to number of cylinders</strong><br>This dataframe relates <code>cyl</code> (number of cylinders) to a few properties of mtcars”,“column_descriptions”:[[{“name”:“cyl”,“description”:“Integer<br>Number of cylinders<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”},{“name”:“disp”,“description”:“Integer.<br>I literally don’t know what this means<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”},{“name”:“hp”,“description”:“Integer<br>Horsepower is a measure of the number of miniature horses this car<br>can fit inside itself, which run on a treadmill that make it go fast.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”},{“name”:“drat”,“description”:“Numeric<br>This is a word you say when something doesn’t go the way you hoped.<br><strong>Drat!</strong><br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”},{“name”:“wt”,“description”:“Numeric<br>Stands for "What the…" - An exclamation of surprise!<br><br>Or <strong>weight</strong>, maybe.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”},{“name”:“qsec”,“description”:“Numeric.<br>Number of seconds you need to line up in a queue in order to buy this car.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/mtcars_dataset.html'>mandrake::mtcars_dataset</a></code>”}]]} | NA | NA | NA | NA | NA | NA | NA |
| regression1_small | <list> | {“target”:“regression1_small”,“command”:“<pre class=‘downlit’><span class=‘nf’>reg1</span><span class=‘o’>(</span><span class=‘nv’>small</span><span class=‘o’>)</span></pre>”,“descripton”:“NA”,“column_descriptions”:[[{“name”:“coefficients”,“description”:“a named vector of coefficients<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“residuals”,“description”:“The residuals, that is response minus fitted values.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“effects”,“description”:“<i>Column doc not found</i><br>”},{“name”:“rank”,“description”:“the numeric rank of the fitted linear model.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“fitted.values”,“description”:“The fitted mean values.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“assign”,“description”:“<i>Column doc not found</i><br>”},{“name”:“qr”,“description”:“<i>Column doc not found</i><br>”},{“name”:“df.residual”,“description”:“the residual degrees of freedom.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“xlevels”,“description”:“(only where relevant) a record of the levels of the factors used in fitting.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“call”,“description”:“the matched call.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“terms”,“description”:“the <code><a href=’https://rdrr.io/r/stats/terms.html'>stats::terms()</a></code> object used.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“model”,“description”:“if requested (the default), the model frame used.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”}]]} | small | regression1_small | regression1 | regression1_small | NA | NA | NA |
| regression1_large | <list> | {“target”:“regression1_large”,“command”:“<pre class=‘downlit’><span class=‘nf’>reg1</span><span class=‘o’>(</span><span class=‘nv’>large</span><span class=‘o’>)</span></pre>”,“descripton”:“NA”,“column_descriptions”:[[{“name”:“coefficients”,“description”:“a named vector of coefficients<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“residuals”,“description”:“The residuals, that is response minus fitted values.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“effects”,“description”:“<i>Column doc not found</i><br>”},{“name”:“rank”,“description”:“the numeric rank of the fitted linear model.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“fitted.values”,“description”:“The fitted mean values.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“assign”,“description”:“<i>Column doc not found</i><br>”},{“name”:“qr”,“description”:“<i>Column doc not found</i><br>”},{“name”:“df.residual”,“description”:“the residual degrees of freedom.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“xlevels”,“description”:“(only where relevant) a record of the levels of the factors used in fitting.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“call”,“description”:“the matched call.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“terms”,“description”:“the <code><a href=’https://rdrr.io/r/stats/terms.html'>stats::terms()</a></code> object used.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“model”,“description”:“if requested (the default), the model frame used.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”}]]} | large | regression1_large | regression1 | regression1_large | NA | NA | NA |
| regression2_small | <list> | {“target”:“regression2_small”,“command”:“<pre class=‘downlit’><span class=‘nf’>reg2</span><span class=‘o’>(</span><span class=‘nv’>small</span><span class=‘o’>)</span></pre>”,“descripton”:“NA”,“column_descriptions”:[[{“name”:“coefficients”,“description”:“a named vector of coefficients<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“residuals”,“description”:“The residuals, that is response minus fitted values.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“effects”,“description”:“<i>Column doc not found</i><br>”},{“name”:“rank”,“description”:“the numeric rank of the fitted linear model.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“fitted.values”,“description”:“The fitted mean values.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“assign”,“description”:“<i>Column doc not found</i><br>”},{“name”:“qr”,“description”:“<i>Column doc not found</i><br>”},{“name”:“df.residual”,“description”:“the residual degrees of freedom.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“xlevels”,“description”:“(only where relevant) a record of the levels of the factors used in fitting.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“call”,“description”:“the matched call.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“terms”,“description”:“the <code><a href=’https://rdrr.io/r/stats/terms.html'>stats::terms()</a></code> object used.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“model”,“description”:“if requested (the default), the model frame used.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”}]]} | small | regression1_small | regression2 | regression2_small | regression2_small | NA | NA |
| regression2_large | <list> | {“target”:“regression2_large”,“command”:“<pre class=‘downlit’><span class=‘nf’>reg2</span><span class=‘o’>(</span><span class=‘nv’>large</span><span class=‘o’>)</span></pre>”,“descripton”:“NA”,“column_descriptions”:[[{“name”:“coefficients”,“description”:“a named vector of coefficients<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“residuals”,“description”:“The residuals, that is response minus fitted values.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“effects”,“description”:“<i>Column doc not found</i><br>”},{“name”:“rank”,“description”:“the numeric rank of the fitted linear model.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“fitted.values”,“description”:“The fitted mean values.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“assign”,“description”:“<i>Column doc not found</i><br>”},{“name”:“qr”,“description”:“<i>Column doc not found</i><br>”},{“name”:“df.residual”,“description”:“the residual degrees of freedom.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“xlevels”,“description”:“(only where relevant) a record of the levels of the factors used in fitting.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“call”,“description”:“the matched call.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“terms”,“description”:“the <code><a href=’https://rdrr.io/r/stats/terms.html'>stats::terms()</a></code> object used.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“model”,“description”:“if requested (the default), the model frame used.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”}]]} | large | regression1_large | regression2 | regression2_large | regression2_large | NA | NA |
| report | <list> | {“target”:“report”,“command”:“<pre class=‘downlit’><span class=‘nf’>knit</span><span class=‘o’>(</span><span class=‘nf’>knitr_in</span><span class=‘o’>(</span><span class=‘s’>"mtcars/report.Rmd"</span><span class=‘o’>)</span>, <span class=‘nf’>file_out</span><span class=‘o’>(</span><span class=‘s’>"mtcars/report.md"</span><span class=‘o’>)</span>, quiet <span class=‘o’>=</span> <span class=‘kc’>TRUE</span><span class=‘o’>)</span></pre>”,“descripton”:“NA”,“column_descriptions”:[{}]} | NA | NA | NA | NA | NA | NA | NA |
| small | <list> | {“target”:“small”,“command”:“<pre class=‘downlit’><span class=‘nf’><a href=‘https://rdrr.io/r/stats/simulate.html'>simulate<\/a><\/span><span class=’o’>(</span><span class=‘m’>48</span><span class=‘o’>)</span></pre>”,“descripton”:“NA”,“column_descriptions”:[[{“name”:“x”,“description”:“if requested, the model matrix used.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”},{“name”:“y”,“description”:“if requested, the response used.<br>Found at <code><a href=’https://mstrasiot.to/mandrake//reference/lm_object.html'>mandrake::lm_object</a></code>”}]]} | NA | NA | NA | NA | NA | NA | NA |
| summ_regression1_small | <list> | {“target”:“summ_regression1_small”,“command”:“<pre class=‘downlit’><span class=‘nf’><a href=‘https://rdrr.io/r/base/warning.html'>suppressWarnings<\/a><\/span><span class=’o’>(</span><span class=‘nf’><a href=‘https://rdrr.io/r/base/summary.html'>summary<\/a><\/span><span class=’o’>(</span><span class=‘nv’>regression1_small</span><span class=‘o’>\(<\/span><span class='nv'>residuals<\/span><span class='o'>)<\/span><span class='o'>)<\/span><\/pre>","descripton":"NA","column_descriptions":[[{"name":"Min.","description":"<i>Column doc not found<\/i><br> "},{"name":"1st Qu.","description":"<i>Column doc not found<\/i><br> "},{"name":"Median","description":"<i>Column doc not found<\/i><br> "},{"name":"Mean","description":"<i>Column doc not found<\/i><br> "},{"name":"3rd Qu.","description":"<i>Column doc not found<\/i><br> "},{"name":"Max.","description":"<i>Column doc not found<\/i><br> "}]]} </td> <td style="text-align:left;"> small </td> <td style="text-align:left;"> regression1_small </td> <td style="text-align:left;"> summ </td> <td style="text-align:left;"> regression1_small </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> summ_regression1_small </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> summ_regression1_large </td> <td style="text-align:left;"> <list> </td> <td style="text-align:left;"> {"target":"summ_regression1_large","command":"<pre class='downlit'>\n<span class='nf'><a href='https://rdrr.io/r/base/warning.html'>suppressWarnings<\/a><\/span><span class='o'>(<\/span><span class='nf'><a href='https://rdrr.io/r/base/summary.html'>summary<\/a><\/span><span class='o'>(<\/span><span class='nv'>regression1_large<\/span><span class='o'>\)</span><span class=‘nv’>residuals</span><span class=‘o’>)</span><span class=‘o’>)</span></pre>”,“descripton”:“NA”,“column_descriptions”:[[{“name”:“Min.”,“description”:“<i>Column doc not found</i><br>”},{“name”:“1st Qu.”,“description”:“<i>Column doc not found</i><br>”},{“name”:“Median”,“description”:“<i>Column doc not found</i><br>”},{“name”:“Mean”,“description”:“<i>Column doc not found</i><br>”},{“name”:“3rd Qu.”,“description”:“<i>Column doc not found</i><br>”},{“name”:“Max.”,“description”:“<i>Column doc not found</i><br>”}]]} | large | regression1_large | summ | regression1_large | NA | summ_regression1_large | NA |
| summ_regression2_small | <list> | {“target”:“summ_regression2_small”,“command”:“<pre class=‘downlit’><span class=‘nf’><a href=‘https://rdrr.io/r/base/warning.html'>suppressWarnings<\/a><\/span><span class=’o’>(</span><span class=‘nf’><a href=‘https://rdrr.io/r/base/summary.html'>summary<\/a><\/span><span class=’o’>(</span><span class=‘nv’>regression2_small</span><span class=‘o’>\(<\/span><span class='nv'>residuals<\/span><span class='o'>)<\/span><span class='o'>)<\/span><\/pre>","descripton":"NA","column_descriptions":[[{"name":"Min.","description":"<i>Column doc not found<\/i><br> "},{"name":"1st Qu.","description":"<i>Column doc not found<\/i><br> "},{"name":"Median","description":"<i>Column doc not found<\/i><br> "},{"name":"Mean","description":"<i>Column doc not found<\/i><br> "},{"name":"3rd Qu.","description":"<i>Column doc not found<\/i><br> "},{"name":"Max.","description":"<i>Column doc not found<\/i><br> "}]]} </td> <td style="text-align:left;"> small </td> <td style="text-align:left;"> regression1_small </td> <td style="text-align:left;"> summ </td> <td style="text-align:left;"> regression2_small </td> <td style="text-align:left;"> NA </td> <td style="text-align:left;"> summ_regression2_small </td> <td style="text-align:left;"> NA </td> </tr> <tr> <td style="text-align:left;"> summ_regression2_large </td> <td style="text-align:left;"> <list> </td> <td style="text-align:left;"> {"target":"summ_regression2_large","command":"<pre class='downlit'>\n<span class='nf'><a href='https://rdrr.io/r/base/warning.html'>suppressWarnings<\/a><\/span><span class='o'>(<\/span><span class='nf'><a href='https://rdrr.io/r/base/summary.html'>summary<\/a><\/span><span class='o'>(<\/span><span class='nv'>regression2_large<\/span><span class='o'>\)</span><span class=‘nv’>residuals</span><span class=‘o’>)</span><span class=‘o’>)</span></pre>”,“descripton”:“NA”,“column_descriptions”:[[{“name”:“Min.”,“description”:“<i>Column doc not found</i><br>”},{“name”:“1st Qu.”,“description”:“<i>Column doc not found</i><br>”},{“name”:“Median”,“description”:“<i>Column doc not found</i><br>”},{“name”:“Mean”,“description”:“<i>Column doc not found</i><br>”},{“name”:“3rd Qu.”,“description”:“<i>Column doc not found</i><br>”},{“name”:“Max.”,“description”:“<i>Column doc not found</i><br>”}]]} | large | regression1_large | summ | regression2_large | NA | summ_regression2_large | NA |
my_config <- drake_config(plan_extracted)
graph_info <- drake_graph_info( my_config, group = "cluster_id", clusters = c("summ", "coef"), build_times = "none", on_select_col = "desc") graph <- render_drake_graph( graph_info, on_select = "embedHandler", ncol_legend = 4 ) %>% mandrake::attach_dependencies(standalone = F)