Skip to content

bomeara/summarizetaskview

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

summarizetaskview

Way to quickly summarize info from a task view (or other list of packages)

This was inspired by Jonathan Chang’s post about downloads for different phylogenetics-related R packages as well as my long term curiosity about how packages in our area. It was also (I now realize after Maëlle Salmon’s tweet about this, inspired by this rOpenSci hackathon project, packagemetrics). It depends on goodpractice (thanks to Auriel Fournier for pointing to that package) and also uses the packages crandb, cranlogs, ggplot2, lubridate, ctv, packagemetrics, and parallel.

package last_update years_since_last_update years_since_first_release number_of_CRAN_releases has_coverage has_url has_bug_reporting downloads_last_year has_vignette_build percent_maximum_ideal_complexity days_since_last_issue_closed days_since_last_commit
adephylo 2017-12-18 0.98 9.1 11 FALSE FALSE FALSE 24013 FALSE 330 NA NA
adhoc 2017-03-17 1.73 4.99 2 TRUE TRUE FALSE 4756 FALSE 390 NA NA
adiv 2018-08-24 0.29 1.39 3 TRUE FALSE FALSE 3966 FALSE 710 NA NA
ape 2018-09-24 0.21 16.3 93 FALSE TRUE FALSE 449285 FALSE 1420 NA NA
apex 2017-09-23 1.21 3.65 4 FALSE TRUE TRUE 5754 TRUE 80 445 NA
aphid 2018-11-10 0.08 1.46 6 FALSE TRUE TRUE 6820 TRUE NA NA NA
apTreeshape 2018-04-04 0.68 13.27 13 TRUE FALSE FALSE 8642 FALSE 550 NA NA
BAMMtools 2017-02-03 1.85 4.77 12 TRUE TRUE FALSE 7997 FALSE 750 NA NA
bayou 2018-10-09 0.17 4.4 5 FALSE FALSE FALSE 7318 FALSE 580 NA NA
betapart 2018-10-18 0.14 6.78 8 TRUE FALSE FALSE 14784 FALSE 490 NA NA
BioGeoBEARS 2014-01-02 4.94 5.46 3 TRUE TRUE FALSE 8616 FALSE 1570 NA NA
BoSSA 2018-11-06 0.09 9 14 FALSE FALSE FALSE 13050 TRUE NA NA NA
brms 2018-10-23 0.13 3.59 37 FALSE TRUE TRUE 105444 TRUE NA 2 1
brranching 2018-12-05 0.01 3.08 4 FALSE TRUE TRUE 5478 TRUE 110 10 NA
caper 2018-04-17 0.65 7.52 6 FALSE FALSE FALSE 14353 FALSE 800 NA NA
cati 2018-05-09 0.59 4.46 5 TRUE TRUE FALSE 5922 FALSE 1110 912 NA
convevol 2018-11-04 0.1 5.29 6 TRUE FALSE FALSE 6601 FALSE 200 NA NA
corHMM 2017-07-19 1.39 5.58 12 TRUE FALSE FALSE 6055 FALSE 2040 NA NA
DAMOCLES 2015-03-05 3.77 4.12 2 TRUE FALSE FALSE 4054 FALSE 450 NA NA
DDD 2018-04-24 0.63 6.86 29 FALSE FALSE FALSE 9788 FALSE 840 NA NA
dendextend 2018-10-19 0.14 4.85 20 FALSE TRUE TRUE 484506 TRUE NA 49 50
dispRity 2018-09-20 0.22 0.72 2 TRUE TRUE FALSE 3233 FALSE 920 132 17
distory 2017-03-21 1.72 6 4 TRUE FALSE FALSE 4672 FALSE 300 NA NA
diversitree 2017-04-05 1.68 7.99 12 FALSE TRUE FALSE 7253 FALSE 380 NA NA
ecospat 2018-06-27 0.45 4.38 7 FALSE TRUE TRUE 6491 TRUE NA NA 159
entropart 2018-02-05 0.84 5.25 15 FALSE TRUE TRUE 4908 TRUE NA NA NA
enveomics.R 2018-11-13 0.07 2.91 15 FALSE TRUE FALSE 9292 FALSE 730 NA NA
evobiR 2015-09-06 3.26 5.14 2 TRUE TRUE FALSE 4275 FALSE 330 NA NA
expoTree 2013-09-03 5.27 5.87 4 FALSE FALSE FALSE 3617 FALSE 120 NA NA
geiger 2015-09-07 3.26 11.63 19 TRUE TRUE FALSE 27857 FALSE 500 NA NA
geomorph 2018-07-27 0.37 6.12 27 TRUE FALSE FALSE 20080 FALSE 770 NA NA
ggmuller 2018-02-16 0.81 1.27 6 FALSE FALSE FALSE 4446 TRUE 250 NA NA
ggplot2 2018-10-25 0.12 11.53 33 FALSE TRUE TRUE 6355634 TRUE 290 2 2
GUniFrac 2018-02-12 0.82 6.62 2 TRUE FALSE FALSE 9335 FALSE 220 NA NA
hisse 2018-11-06 0.09 3.8 17 FALSE FALSE FALSE 7122 TRUE 640 NA NA
HMPTrees 2017-07-05 1.43 7.06 5 FALSE FALSE FALSE 4091 FALSE 280 NA NA
HyPhy 2012-07-30 6.36 6.36 1 TRUE FALSE FALSE 3574 FALSE 1640 NA NA
idendr0 2017-02-22 1.79 3.18 4 TRUE TRUE TRUE 4195 FALSE 4010 NA 647
ips 2014-11-10 4.08 4.08 1 TRUE FALSE FALSE 5081 FALSE 310 NA NA
iteRates 2013-05-03 5.61 7.47 4 TRUE FALSE FALSE 3511 FALSE 1280 NA NA
jaatha 2016-05-13 2.58 5.92 15 FALSE TRUE TRUE 4083 TRUE NA 679 NA
kdetrees 2014-05-30 4.53 5.83 3 FALSE TRUE FALSE 3501 FALSE 140 NA NA
markophylo 2018-01-30 0.86 3.43 5 FALSE FALSE FALSE 4165 TRUE 1730 NA NA
MCMCglmm 2018-07-03 0.44 9.87 42 FALSE FALSE FALSE 47610 FALSE 3080 NA NA
metacoder 2018-11-19 0.05 2.28 6 FALSE TRUE TRUE 5879 TRUE NA 9 9
metafor 2017-06-22 1.47 9.52 24 FALSE TRUE TRUE 68026 TRUE NA 0 NA
MPSEM 2018-05-16 0.57 5.27 9 FALSE FALSE FALSE 4599 TRUE NA NA NA
mvMORPH 2018-08-04 0.35 5.17 11 FALSE TRUE FALSE 7964 TRUE 1900 24 89
nLTT 2018-04-18 0.64 3.89 8 FALSE TRUE TRUE 4218 TRUE 420 236 NA
nodiv 2018-11-07 0.09 4.07 18 TRUE TRUE FALSE 2980 FALSE 480 33 33
ouch 2017-07-18 1.39 14.13 23 TRUE TRUE FALSE 5708 FALSE 440 NA NA
outbreaker 2017-08-17 1.31 5.81 11 TRUE TRUE FALSE 3944 FALSE 740 NA NA
OutbreakTools 2017-10-05 1.18 4.92 8 FALSE TRUE FALSE 4739 TRUE NA NA NA
OUwie 2016-06-18 2.48 7.23 30 TRUE FALSE FALSE 5407 FALSE 1590 NA NA
paleotree 2018-10-02 0.19 6.87 23 TRUE TRUE TRUE 11686 FALSE 1650 1003 39
paleoTS 2015-12-02 3.02 12.39 12 TRUE FALSE FALSE 4705 FALSE 240 NA NA
pastis 2013-09-11 5.25 5.53 3 FALSE TRUE FALSE 3290 FALSE 420 NA NA
PBD 2017-05-04 1.6 4.69 7 FALSE FALSE FALSE 3666 TRUE 260 NA NA
PCPS 2018-05-24 0.55 4.61 7 TRUE FALSE FALSE 5170 FALSE 240 NA NA
pegas 2018-07-09 0.42 9.58 23 FALSE TRUE FALSE 32332 FALSE 980 NA NA
phangorn 2018-02-15 0.81 10.72 47 FALSE TRUE TRUE 77860 TRUE 1260 67 3
phyclust 2017-12-02 1.02 8.87 22 TRUE TRUE TRUE 6330 FALSE 430 311 311
phyext2 2015-07-27 3.37 3.4 2 TRUE FALSE FALSE 3229 FALSE 500 NA NA
phylobase 2017-04-21 1.64 9.11 12 FALSE TRUE TRUE 26563 TRUE 690 152 NA
phylocanvas 2017-10-30 1.11 1.85 2 FALSE TRUE TRUE 3382 TRUE 20 632 404
phyloclim 2018-05-25 0.54 9.03 7 TRUE FALSE FALSE 5586 FALSE 300 NA NA
PHYLOGR 2018-03-20 0.72 18.28 13 TRUE TRUE FALSE 4419 FALSE 260 NA NA
phylogram 2018-06-25 0.46 1.49 5 FALSE TRUE TRUE 4698 TRUE 260 NA 165
phyloland 2014-09-13 4.24 4.76 4 TRUE FALSE FALSE 3261 FALSE 1350 NA NA
phylolm 2018-05-31 0.53 5.92 8 TRUE TRUE FALSE 8611 FALSE 1080 NA NA
phylotools 2017-12-10 1 8.13 5 TRUE TRUE FALSE 6544 FALSE 140 NA NA
phyloTop 2018-02-21 0.8 5.36 7 TRUE FALSE FALSE 4376 FALSE 680 NA NA
phyreg 2018-04-12 0.66 4.84 3 TRUE FALSE FALSE 2587 FALSE 1980 NA NA
phytools 2018-09-28 0.2 7.31 36 TRUE TRUE FALSE 46858 FALSE 970 61 17
picante 2018-05-14 0.57 10.52 25 FALSE FALSE FALSE 28831 FALSE 320 NA NA
pmc 2018-05-17 0.56 6.88 8 FALSE TRUE TRUE 3970 TRUE 70 2391 NA
ratematrix 2018-10-30 0.11 0.5 2 FALSE TRUE FALSE 1786 TRUE NA 39 39
rdryad 2018-06-18 0.48 6.8 5 TRUE TRUE TRUE 4726 FALSE 50 173 52
rmetasim 2018-02-15 0.81 14.35 29 FALSE FALSE FALSE 5242 TRUE 850 NA NA
rncl 2018-07-27 0.37 4.02 6 TRUE TRUE TRUE 35357 FALSE 110 723 NA
RNeXML 2018-11-01 0.1 4.4 16 FALSE TRUE TRUE 32332 TRUE 160 0 0
rotl 2018-09-29 0.19 3.38 7 FALSE TRUE TRUE 29411 TRUE 330 81 70
rphast 2018-02-11 0.82 8.24 10 FALSE TRUE FALSE 6137 FALSE 780 NA NA
Rphylip 2014-03-26 4.71 4.75 2 TRUE TRUE FALSE 3642 FALSE 660 NA NA
SigTree 2017-10-02 1.19 5.32 10 FALSE FALSE FALSE 3732 FALSE NA NA NA
strap 2014-11-05 4.1 4.7 5 TRUE FALSE FALSE 4404 FALSE 1050 NA NA
surface 2014-02-14 4.82 5.93 4 FALSE TRUE FALSE 3847 FALSE 840 NA NA
SYNCSA 2018-03-23 0.72 7.55 8 TRUE FALSE FALSE 5348 FALSE 910 NA NA
taxize 2018-07-24 0.38 6.02 31 FALSE TRUE TRUE 32583 TRUE 340 2 2
TESS 2015-10-28 3.12 6.17 6 FALSE FALSE FALSE 4150 TRUE 1630 NA NA
tidytree 2018-11-29 0.03 0.99 6 FALSE TRUE TRUE 10204 TRUE NA 198 NA
treebase 2017-02-06 1.84 7.13 10 FALSE TRUE TRUE 3823 TRUE 130 21 NA
treedater 2018-05-04 0.6 0.6 1 FALSE FALSE FALSE 1634 TRUE 280 NA NA
TreePar 2015-01-02 3.94 8.48 14 TRUE FALSE FALSE 3908 FALSE 480 NA NA
treeplyr 2018-06-07 0.51 2.77 5 FALSE TRUE TRUE 3904 FALSE 110 947 NA
TreeSim 2017-03-20 1.72 8.8 14 TRUE FALSE FALSE 5282 FALSE 1290 NA NA
vegan 2018-10-25 0.12 17.27 81 FALSE TRUE TRUE 459854 TRUE NA 4 24
warbleR 2018-10-16 0.15 3.38 17 FALSE TRUE TRUE 5696 TRUE NA 19 1
windex 2014-10-16 4.15 4.15 1 TRUE FALSE FALSE 2355 FALSE 200 NA NA
#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

#> `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

About

Way to quickly summarize info from a task view (or other list of packages)

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages