Last updated: 2024-01-01
Checks: 7 0
Knit directory:
mage_2020_marker-gene-benchmarking/
This reproducible R Markdown analysis was created with workflowr (version 1.7.0). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.
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.
Great job! The global environment was empty. Objects defined in the global environment can affect the analysis in your R Markdown file in unknown ways. For reproduciblity it’s best to always run the code in an empty environment.
The command set.seed(20190102)
was run prior to running
the code in the R Markdown file. Setting a seed ensures that any results
that rely on randomness, e.g. subsampling or permutations, are
reproducible.
Great job! Recording the operating system, R version, and package versions is critical for reproducibility.
Nice! There were no cached chunks for this analysis, so you can be confident that you successfully produced the results during this run.
Great job! Using relative paths to the files within your workflowr project makes it easier to run your code on other machines.
Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.
The results in this page were generated with repository version 2632193. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.
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: .Renviron
Ignored: .Rhistory
Ignored: .Rproj.user/
Ignored: .snakemake/
Ignored: NSForest/.Rhistory
Ignored: NSForest/NS-Forest_v3_Extended_Binary_Markers_Supplmental.csv
Ignored: NSForest/NS-Forest_v3_Full_Results.csv
Ignored: NSForest/NSForest3_medianValues.csv
Ignored: NSForest/NSForest_v3_Final_Result.csv
Ignored: NSForest/__pycache__/
Ignored: NSForest/data/
Ignored: RankCorr/picturedRocks/__pycache__/
Ignored: benchmarks/
Ignored: config/
Ignored: data/cellmarker/
Ignored: data/downloaded_data/
Ignored: data/expert_annotations/
Ignored: data/expert_mgs/
Ignored: data/raw_data/
Ignored: data/real_data/
Ignored: data/sim_data/
Ignored: data/sim_mgs/
Ignored: data/special_real_data/
Ignored: figures/
Ignored: logs/
Ignored: results/
Ignored: weights/
Unstaged changes:
Deleted: analysis/expert-mgs-direction.Rmd
Modified: smash-fork
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.
These are the previous versions of the repository in which changes were
made to the R Markdown (analysis/implemetation-quality.Rmd
)
and HTML (public/implemetation-quality.html
) files. If
you’ve configured a remote Git repository (see
?wflow_git_remote
), click on the hyperlinks in the table
below to view the files as they were in that past version.
File | Version | Author | Date | Message |
---|---|---|---|---|
Rmd | 4abf4fd | Jeffrey Pullin | 2023-06-17 | Update implementation quality analysis |
html | fcecf65 | Jeffrey Pullin | 2022-09-09 | Build site. |
Rmd | 0c2eafc | Jeffrey Pullin | 2022-09-09 | Update website |
html | af96b34 | Jeffrey Pullin | 2022-08-30 | Build site. |
html | 0e47874 | Jeffrey Pullin | 2022-05-04 | Build site. |
html | 8b989e1 | Jeffrey Pullin | 2022-05-02 | Build site. |
Rmd | 2e627e5 | Jeffrey Pullin | 2022-05-02 | Refresh all analyses |
library(dplyr)
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
library(ggplot2)
library(tidyr)
library(forcats)
source(here::here("code", "plot-utils.R"))
Aim: In this analysis visual the quality of the implementations of the difference methods
Each method is assessed on the following criteria. For each criteria we assess whether the method is ”
Accessibility.
Installation. How easy is the software to install?
Documentation quality. How well documented is the software?
Ease of use. How easy is it to run the software to select marker genes?
Ease of output interpretation. How easy is it to use and interpret the output?
Note that this scrutinisation occurs on the level of package, not method.
# Coding: Poor == 0, Adequate == 1, Good == 2.
<- tribble(
implementation_data ~package, ~accesibility, ~installation, ~documentation, ~use, ~output,
"cosg", 2, 2, 1, 2, 1,
"edger", 2, 2, 2, 0, 1,
"limma", 2, 2, 2, 0, 1,
"glmgampoi", 2, 2, 2, 0, 1,
"cepo", 2, 2, 2, 2, 1,
"nsforest", 1, 1, 1, 1, 1,
"presto", 1, 0, 2, 2, 2,
"scran", 2, 2, 2, 2, 2,
"scanpy", 2, 2, 2, 2, 2,
"seurat", 2, 2, 2, 2, 2,
"rankcorr", 1, 1, 0, 1, 0,
"venice", 1, 1, 0, 1, 1,
"smash", 2, 2, 1, 2, 2
)
<- c("Poor", "Adequate", "Good")
score_lookup <- c(
criteria_lookup "accesibility" = "Accesibility",
"documentation" = "Documentation",
"installation" = "Installation",
"output" = "Output interprability",
"use" = "Ease of use"
)
<- implementation_data %>%
implementation_plot pivot_longer(cols = -package, names_to = "criteria", values_to = "score") %>%
mutate(plot_score = score_lookup[score + 1]) %>%
mutate(plot_score = factor(plot_score, levels = rev(score_lookup))) %>%
mutate(plot_package = method_lookup[package]) %>%
mutate(plot_package = fct_reorder(factor(plot_package), score, .fun = mean)) %>%
mutate(plot_criteria = criteria_lookup[criteria]) %>%
ggplot(aes(x = plot_criteria, y = plot_package)) +
geom_tile(aes(fill = plot_score), colour = "black") +
scale_fill_manual(values = c("#FC8D59", "#FFFFBF", "#91BFDB")) +
theme_bw() +
labs(
x = "Criteria",
y = "Package",
fill = "Score",
+
) theme(
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_blank(),
axis.ticks.y = element_blank(),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)
) implementation_plot
saveRDS(
implementation_plot, ::here("figures", "raw", "implementation.rds")
here )
::session_info() devtools
─ Session info ──────────────────────────────────────────────────────────────
hash: crayon, man scientist: medium-dark skin tone, thumbs down: medium skin tone
setting value
version R version 4.1.2 (2021-11-01)
os Red Hat Enterprise Linux 9.2 (Plow)
system x86_64, linux-gnu
ui X11
language (EN)
collate en_AU.UTF-8
ctype en_AU.UTF-8
tz Australia/Melbourne
date 2024-01-01
pandoc 2.18 @ /apps/easybuild-2022/easybuild/software/MPI/GCC/11.3.0/OpenMPI/4.1.4/RStudio-Server/2022.07.2+576-Java-11-R-4.1.2/bin/pandoc/ (via rmarkdown)
─ Packages ───────────────────────────────────────────────────────────────────
package * version date (UTC) lib source
assertthat 0.2.1 2019-03-21 [2] CRAN (R 4.1.2)
bslib 0.3.1 2021-10-06 [1] CRAN (R 4.1.0)
cachem 1.0.6 2021-08-19 [1] CRAN (R 4.1.0)
callr 3.7.0 2021-04-20 [2] CRAN (R 4.1.2)
cli 3.6.1 2023-03-23 [1] CRAN (R 4.1.0)
colorspace 2.1-0 2023-01-23 [1] CRAN (R 4.1.0)
crayon 1.5.1 2022-03-26 [1] CRAN (R 4.1.0)
DBI 1.1.2 2021-12-20 [1] CRAN (R 4.1.0)
desc 1.4.0 2021-09-28 [2] CRAN (R 4.1.2)
devtools 2.4.2 2021-06-07 [2] CRAN (R 4.1.2)
digest 0.6.29 2021-12-01 [1] CRAN (R 4.1.0)
dplyr * 1.0.9 2022-04-28 [1] CRAN (R 4.1.0)
ellipsis 0.3.2 2021-04-29 [2] CRAN (R 4.1.2)
evaluate 0.14 2019-05-28 [2] CRAN (R 4.1.2)
fansi 1.0.4 2023-01-22 [1] CRAN (R 4.1.0)
farver 2.1.1 2022-07-06 [1] CRAN (R 4.1.0)
fastmap 1.1.0 2021-01-25 [2] CRAN (R 4.1.2)
forcats * 0.5.1 2021-01-27 [2] CRAN (R 4.1.2)
fs 1.5.2 2021-12-08 [1] CRAN (R 4.1.0)
generics 0.1.3 2022-07-05 [1] CRAN (R 4.1.0)
ggplot2 * 3.3.6 2022-05-03 [1] CRAN (R 4.1.0)
git2r 0.28.0 2021-01-10 [2] CRAN (R 4.1.2)
glue 1.6.0 2021-12-17 [1] CRAN (R 4.1.0)
gtable 0.3.0 2019-03-25 [2] CRAN (R 4.1.2)
here 1.0.1 2020-12-13 [1] CRAN (R 4.1.0)
highr 0.9 2021-04-16 [2] CRAN (R 4.1.2)
htmltools 0.5.2 2021-08-25 [1] CRAN (R 4.1.0)
httpuv 1.6.5 2022-01-05 [1] CRAN (R 4.1.0)
jquerylib 0.1.4 2021-04-26 [2] CRAN (R 4.1.2)
jsonlite 1.8.0 2022-02-22 [1] CRAN (R 4.1.0)
knitr 1.36 2021-09-29 [1] CRAN (R 4.1.0)
later 1.3.0 2021-08-18 [1] CRAN (R 4.1.0)
lifecycle 1.0.1 2021-09-24 [1] CRAN (R 4.1.0)
magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.1.0)
memoise 2.0.1 2021-11-26 [1] CRAN (R 4.1.0)
munsell 0.5.0 2018-06-12 [2] CRAN (R 4.1.2)
pillar 1.7.0 2022-02-01 [1] CRAN (R 4.1.0)
pkgbuild 1.2.0 2020-12-15 [2] CRAN (R 4.1.2)
pkgconfig 2.0.3 2019-09-22 [2] CRAN (R 4.1.2)
pkgload 1.2.3 2021-10-13 [2] CRAN (R 4.1.2)
prettyunits 1.1.1 2020-01-24 [2] CRAN (R 4.1.2)
processx 3.5.2 2021-04-30 [2] CRAN (R 4.1.2)
promises 1.2.0.1 2021-02-11 [2] CRAN (R 4.1.2)
ps 1.7.1 2022-06-18 [1] CRAN (R 4.1.0)
purrr 0.3.4 2020-04-17 [2] CRAN (R 4.1.2)
R6 2.5.1 2021-08-19 [1] CRAN (R 4.1.0)
Rcpp 1.0.8.3 2022-03-17 [1] CRAN (R 4.1.0)
remotes 2.4.2 2021-11-30 [1] CRAN (R 4.1.0)
rlang 1.0.3 2022-06-27 [1] CRAN (R 4.1.0)
rmarkdown 2.14 2022-04-25 [1] CRAN (R 4.1.0)
rprojroot 2.0.3 2022-04-02 [1] CRAN (R 4.1.0)
rstudioapi 0.14 2022-08-22 [1] CRAN (R 4.1.0)
sass 0.4.1 2022-03-23 [1] CRAN (R 4.1.0)
scales 1.2.1 2022-08-20 [1] CRAN (R 4.1.0)
sessioninfo 1.2.0 2021-10-31 [2] CRAN (R 4.1.2)
stringi 1.7.6 2021-11-29 [1] CRAN (R 4.1.0)
stringr 1.4.0 2019-02-10 [2] CRAN (R 4.1.2)
testthat 3.1.0 2021-10-04 [2] CRAN (R 4.1.2)
tibble 3.1.7 2022-05-03 [1] CRAN (R 4.1.0)
tidyr * 1.2.0 2022-02-01 [1] CRAN (R 4.1.0)
tidyselect 1.1.2 2022-02-21 [1] CRAN (R 4.1.0)
usethis 2.1.3 2021-10-27 [2] CRAN (R 4.1.2)
utf8 1.2.3 2023-01-31 [1] CRAN (R 4.1.0)
vctrs 0.4.1 2022-04-13 [1] CRAN (R 4.1.0)
whisker 0.4 2019-08-28 [2] CRAN (R 4.1.2)
withr 2.5.0 2022-03-03 [1] CRAN (R 4.1.0)
workflowr 1.7.0 2021-12-21 [1] CRAN (R 4.1.0)
xfun 0.31 2022-05-10 [1] CRAN (R 4.1.0)
yaml 2.3.5 2022-02-21 [1] CRAN (R 4.1.0)
[1] /home/jpullin/R/x86_64-pc-linux-gnu-library/4.1
[2] /apps/easybuild-2022/easybuild/software/MPI/GCC/11.3.0/OpenMPI/4.1.4/R/4.1.2/lib64/R/library
──────────────────────────────────────────────────────────────────────────────