From 2deebf100f270b8a298a86e1c8536fc6e8e0161e Mon Sep 17 00:00:00 2001 From: GitHub Actions Date: Tue, 7 May 2024 00:22:40 +0000 Subject: [PATCH] differences for PR #883 --- 00-before-we-start.md | 22 +- 01-intro-to-r.md | 34 +- 02-starting-with-data.md | 28 +- 03-dplyr.md | 20 +- 04-visualization-ggplot2.md | 2 +- 05-r-and-databases.md | 54 +- CITATION.md | 10 +- config.yaml | 86 - ...dered-average-weight-time-facet-both-1.png | Bin 51015 -> 51022 bytes ...verage-weight-time-facet-sex-columns-1.png | Bin 39160 -> 39166 bytes ...d-average-weight-time-facet-sex-rows-1.png | Bin 55654 -> 55659 bytes ...ggplot2-rendered-boxplot-with-points-1.png | Bin 79688 -> 78999 bytes ...-ggplot2-rendered-color-by-species-1-1.png | Bin 66713 -> 66778 bytes ...lot2-rendered-facet-by-genus-and-sex-1.png | Bin 40994 -> 40996 bytes ...gplot2-rendered-integrating-the-pipe-1.png | Bin 49843 -> 49834 bytes ...es-year-with-right-labels-xfont-size-1.png | Bin 52377 -> 53030 bytes ...dered-number-species-year-with-theme-1.png | Bin 53740 -> 54235 bytes ...n-ggplot2-rendered-patchwork-example-1.png | Bin 58337 -> 58217 bytes ...lot2-rendered-pipes-and-manipulation-1.png | Bin 49843 -> 49834 bytes ...t2-rendered-scatter-challenge-answer-1.png | Bin 33090 -> 33095 bytes ...ot2-rendered-time-series-with-colors-1.png | Bin 49843 -> 49834 bytes ...on-ggplot2-rendered-unnamed-chunk-10-1.png | Bin 97516 -> 98200 bytes ...on-ggplot2-rendered-unnamed-chunk-11-1.png | Bin 64904 -> 64361 bytes ...ion-ggplot2-rendered-unnamed-chunk-9-1.png | Bin 82971 -> 82529 bytes md5sum.txt | 34 +- renv.lock | 1591 ----------------- 26 files changed, 102 insertions(+), 1779 deletions(-) delete mode 100644 config.yaml delete mode 100644 renv.lock diff --git a/00-before-we-start.md b/00-before-we-start.md index 76dafe3df..de89b2d10 100644 --- a/00-before-we-start.md +++ b/00-before-we-start.md @@ -432,7 +432,7 @@ and help others to pinpoint where the issue might be. Try to... sessionInfo() ``` -```{.output} +```output #> R version 4.3.3 (2024-02-29) #> Platform: x86_64-pc-linux-gnu (64-bit) #> Running under: Ubuntu 22.04.4 LTS @@ -454,20 +454,20 @@ sessionInfo() #> [1] stats graphics grDevices utils datasets methods base #> #> other attached packages: -#> [1] RSQLite_2.3.4 lubridate_1.9.3 forcats_1.0.0 stringr_1.5.1 -#> [5] dplyr_1.1.4 purrr_1.0.2 readr_2.1.4 tidyr_1.3.0 -#> [9] tibble_3.2.1 ggplot2_3.4.4 tidyverse_2.0.0 knitr_1.45 +#> [1] RSQLite_2.3.6 lubridate_1.9.3 forcats_1.0.0 stringr_1.5.1 +#> [5] dplyr_1.1.4 purrr_1.0.2 readr_2.1.5 tidyr_1.3.1 +#> [9] tibble_3.2.1 ggplot2_3.5.1 tidyverse_2.0.0 knitr_1.46 #> #> loaded via a namespace (and not attached): -#> [1] bit_4.0.5 gtable_0.3.4 compiler_4.3.3 renv_1.0.5 -#> [5] highr_0.10 tidyselect_1.2.0 blob_1.2.4 scales_1.3.0 +#> [1] bit_4.0.5 gtable_0.3.5 compiler_4.3.3 renv_1.0.7 +#> [5] highr_0.10 tidyselect_1.2.1 blob_1.2.4 scales_1.3.0 #> [9] fastmap_1.1.1 yaml_2.3.8 R6_2.5.1 generics_0.1.3 -#> [13] munsell_0.5.0 DBI_1.2.0 pillar_1.9.0 tzdb_0.4.0 -#> [17] rlang_1.1.2 utf8_1.2.4 cachem_1.0.8 stringi_1.8.3 -#> [21] xfun_0.41 bit64_4.0.5 memoise_2.0.1 timechange_0.2.0 -#> [25] cli_3.6.2 withr_2.5.2 magrittr_2.0.3 grid_4.3.3 +#> [13] munsell_0.5.1 DBI_1.2.2 pillar_1.9.0 tzdb_0.4.0 +#> [17] rlang_1.1.3 utf8_1.2.4 cachem_1.0.8 stringi_1.8.4 +#> [21] xfun_0.43 bit64_4.0.5 memoise_2.0.1 timechange_0.3.0 +#> [25] cli_3.6.2 withr_3.0.0 magrittr_2.0.3 grid_4.3.3 #> [29] hms_1.1.3 lifecycle_1.0.4 vctrs_0.6.5 evaluate_0.23 -#> [33] glue_1.6.2 fansi_1.0.6 colorspace_2.1-0 tools_4.3.3 +#> [33] glue_1.7.0 fansi_1.0.6 colorspace_2.1-0 tools_4.3.3 #> [37] pkgconfig_2.0.3 ``` diff --git a/01-intro-to-r.md b/01-intro-to-r.md index deb2472a2..923ce6159 100644 --- a/01-intro-to-r.md +++ b/01-intro-to-r.md @@ -222,7 +222,7 @@ Let's try a function that can take multiple arguments: `round()`. round(3.14159) ``` -```{.output} +```output #> [1] 3 ``` @@ -238,7 +238,7 @@ help for this function using `?round`. args(round) ``` -```{.output} +```output #> function (x, digits = 0) #> NULL ``` @@ -256,7 +256,7 @@ type `digits = 2` or however many we want. round(3.14159, digits = 2) ``` -```{.output} +```output #> [1] 3.14 ``` @@ -268,7 +268,7 @@ don't have to name them: round(3.14159, 2) ``` -```{.output} +```output #> [1] 3.14 ``` @@ -279,7 +279,7 @@ And if you do name the arguments, you can switch their order: round(digits = 2, x = 3.14159) ``` -```{.output} +```output #> [1] 3.14 ``` @@ -459,7 +459,7 @@ animals <- c("mouse", "rat", "dog", "cat") animals[2] ``` -```{.output} +```output #> [1] "rat" ``` @@ -467,7 +467,7 @@ animals[2] animals[c(3, 2)] ``` -```{.output} +```output #> [1] "dog" "rat" ``` @@ -480,7 +480,7 @@ more_animals <- animals[c(1, 2, 3, 2, 1, 4)] more_animals ``` -```{.output} +```output #> [1] "mouse" "rat" "dog" "rat" "mouse" "cat" ``` @@ -500,7 +500,7 @@ weight_g <- c(21, 34, 39, 54, 55) weight_g[c(TRUE, FALSE, FALSE, TRUE, TRUE)] ``` -```{.output} +```output #> [1] 21 54 55 ``` @@ -513,7 +513,7 @@ values above 50: weight_g > 50 # will return logicals with TRUE for the indices that meet the condition ``` -```{.output} +```output #> [1] FALSE FALSE FALSE TRUE TRUE ``` @@ -522,7 +522,7 @@ weight_g > 50 # will return logicals with TRUE for the indices that meet the weight_g[weight_g > 50] ``` -```{.output} +```output #> [1] 54 55 ``` @@ -534,7 +534,7 @@ You can combine multiple tests using `&` (both conditions are true, AND) or `|` weight_g[weight_g > 30 & weight_g < 50] ``` -```{.output} +```output #> [1] 34 39 ``` @@ -542,7 +542,7 @@ weight_g[weight_g > 30 & weight_g < 50] weight_g[weight_g <= 30 | weight_g == 55] ``` -```{.output} +```output #> [1] 21 55 ``` @@ -550,7 +550,7 @@ weight_g[weight_g <= 30 | weight_g == 55] weight_g[weight_g >= 30 & weight_g == 21] ``` -```{.output} +```output #> numeric(0) ``` @@ -573,7 +573,7 @@ animals <- c("mouse", "rat", "dog", "cat", "cat") animals[animals == "cat" | animals == "rat"] ``` -```{.output} +```output #> [1] "rat" "cat" "cat" ``` @@ -583,7 +583,7 @@ animals[animals == "cat" | animals == "rat"] animals %in% c("rat", "cat", "dog", "duck", "goat", "bird", "fish") ``` -```{.output} +```output #> [1] FALSE TRUE TRUE TRUE TRUE ``` @@ -593,7 +593,7 @@ animals %in% c("rat", "cat", "dog", "duck", "goat", "bird", "fish") animals[animals %in% c("rat", "cat", "dog", "duck", "goat", "bird", "fish")] ``` -```{.output} +```output #> [1] "rat" "dog" "cat" "cat" ``` diff --git a/02-starting-with-data.md b/02-starting-with-data.md index fe59231bd..282955cbd 100644 --- a/02-starting-with-data.md +++ b/02-starting-with-data.md @@ -122,7 +122,7 @@ about data frames later): surveys <- read_csv("data_raw/portal_data_joined.csv") ``` -```{.output} +```output #> Rows: 34786 Columns: 13 #> ── Column specification ──────────────────────────────────────────────────────── #> Delimiter: "," @@ -175,7 +175,7 @@ We can also extract the first few lines of this data using the function head(surveys) ``` -```{.output} +```output #> # A tibble: 6 × 13 #> record_id month day year plot_id species_id sex hindfoot_length weight #> @@ -290,7 +290,7 @@ questions? str(surveys) ``` -```{.output} +```output #> spc_tbl_ [34,786 × 13] (S3: spec_tbl_df/tbl_df/tbl/data.frame) #> $ record_id : num [1:34786] 1 72 224 266 349 363 435 506 588 661 ... #> $ month : num [1:34786] 7 8 9 10 11 11 12 1 2 3 ... @@ -532,7 +532,7 @@ the `sex` vector would be: sex # current order ``` -```{.output} +```output #> [1] male female female male #> Levels: female male ``` @@ -542,7 +542,7 @@ sex <- factor(sex, levels = c("male", "female")) sex # after re-ordering ``` -```{.output} +```output #> [1] male female female male #> Levels: male female ``` @@ -650,7 +650,7 @@ sex <- surveys$sex levels(sex) ``` -```{.output} +```output #> [1] "F" "M" ``` @@ -659,7 +659,7 @@ sex <- addNA(sex) levels(sex) ``` -```{.output} +```output #> [1] "F" "M" NA ``` @@ -667,7 +667,7 @@ levels(sex) head(sex) ``` -```{.output} +```output #> [1] M M #> Levels: F M ``` @@ -677,7 +677,7 @@ levels(sex)[3] <- "undetermined" levels(sex) ``` -```{.output} +```output #> [1] "F" "M" "undetermined" ``` @@ -685,7 +685,7 @@ levels(sex) head(sex) ``` -```{.output} +```output #> [1] M M undetermined undetermined undetermined #> [6] undetermined #> Levels: F M undetermined @@ -844,7 +844,7 @@ This character vector can be used as the argument for `ymd()`: ymd(paste(surveys$year, surveys$month, surveys$day, sep = "-")) ``` -```{.warning} +```warning #> Warning: 129 failed to parse. ``` @@ -859,7 +859,7 @@ vector to the `surveys` data frame as a new column called `date`: surveys$date <- ymd(paste(surveys$year, surveys$month, surveys$day, sep = "-")) ``` -```{.warning} +```warning #> Warning: 129 failed to parse. ``` @@ -875,7 +875,7 @@ column is to use `summary()`: summary(surveys$date) ``` -```{.output} +```output #> Min. 1st Qu. Median Mean 3rd Qu. Max. #> "1977-07-16" "1984-03-12" "1990-07-22" "1990-12-15" "1997-07-29" "2002-12-31" #> NA's @@ -898,7 +898,7 @@ missing_dates <- surveys[is.na(surveys$date), c("year", "month", "day")] head(missing_dates) ``` -```{.output} +```output #> # A tibble: 6 × 3 #> year month day #> diff --git a/03-dplyr.md b/03-dplyr.md index 0ffecfb16..1d6de21c8 100644 --- a/03-dplyr.md +++ b/03-dplyr.md @@ -88,7 +88,7 @@ tidyverse package **`readr`**. surveys <- read_csv("data_raw/portal_data_joined.csv") ``` -```{.output} +```output #> Rows: 34786 Columns: 13 #> ── Column specification ──────────────────────────────────────────────────────── #> Delimiter: "," @@ -353,7 +353,7 @@ surveys %>% tail() ``` -```{.output} +```output #> `summarise()` has grouped output by 'sex'. You can override using the `.groups` #> argument. ``` @@ -376,7 +376,7 @@ surveys %>% summarize(mean_weight = mean(weight)) ``` -```{.output} +```output #> `summarise()` has grouped output by 'sex'. You can override using the `.groups` #> argument. ``` @@ -395,7 +395,7 @@ surveys %>% print(n = 15) ``` -```{.output} +```output #> `summarise()` has grouped output by 'sex'. You can override using the `.groups` #> argument. ``` @@ -413,7 +413,7 @@ surveys %>% min_weight = min(weight)) ``` -```{.output} +```output #> `summarise()` has grouped output by 'sex'. You can override using the `.groups` #> argument. ``` @@ -430,7 +430,7 @@ surveys %>% arrange(min_weight) ``` -```{.output} +```output #> `summarise()` has grouped output by 'sex'. You can override using the `.groups` #> argument. ``` @@ -447,7 +447,7 @@ surveys %>% arrange(desc(mean_weight)) ``` -```{.output} +```output #> `summarise()` has grouped output by 'sex'. You can override using the `.groups` #> argument. ``` @@ -628,7 +628,7 @@ surveys_gw <- surveys %>% summarize(mean_weight = mean(weight)) ``` -```{.output} +```output #> `summarise()` has grouped output by 'plot_id'. You can override using the #> `.groups` argument. ``` @@ -730,7 +730,7 @@ surveys_wide_genera <- surveys %>% pivot_wider(names_from = year, values_from = n_genera) ``` -```{.output} +```output #> `summarise()` has grouped output by 'plot_id'. You can override using the #> `.groups` argument. ``` @@ -793,7 +793,7 @@ surveys_long %>% pivot_wider(names_from = measurement, values_from = mean_value) ``` -```{.output} +```output #> `summarise()` has grouped output by 'year', 'measurement'. You can override #> using the `.groups` argument. ``` diff --git a/04-visualization-ggplot2.md b/04-visualization-ggplot2.md index 852dbaebe..9aef6a7d2 100644 --- a/04-visualization-ggplot2.md +++ b/04-visualization-ggplot2.md @@ -567,7 +567,7 @@ yearly_weight <- surveys_complete %>% summarize(avg_weight = mean(weight)) ``` -```{.output} +```output #> `summarise()` has grouped output by 'year'. You can override using the #> `.groups` argument. ``` diff --git a/05-r-and-databases.md b/05-r-and-databases.md index cdd93e7b7..537f2d9ac 100644 --- a/05-r-and-databases.md +++ b/05-r-and-databases.md @@ -97,12 +97,12 @@ library(dplyr) library(dbplyr) ``` -```{.output} +```output #> #> Attaching package: 'dbplyr' ``` -```{.output} +```output #> The following objects are masked from 'package:dplyr': #> #> ident, sql @@ -131,8 +131,8 @@ Let's take a closer look at the `mammals` database we just connected to: src_dbi(mammals) ``` -```{.output} -#> src: sqlite 3.44.2 [/home/runner/work/R-ecology-lesson/R-ecology-lesson/site/built/data_raw/portal_mammals.sqlite] +```output +#> src: sqlite 3.45.2 [/home/runner/work/R-ecology-lesson/R-ecology-lesson/site/built/data_raw/portal_mammals.sqlite] #> tbls: plots, species, surveys ``` @@ -186,9 +186,9 @@ rows of the table: head(surveys, n = 10) ``` -```{.output} +```output #> # Source: SQL [10 x 9] -#> # Database: sqlite 3.44.2 [/home/runner/work/R-ecology-lesson/R-ecology-lesson/site/built/data_raw/portal_mammals.sqlite] +#> # Database: sqlite 3.45.2 [/home/runner/work/R-ecology-lesson/R-ecology-lesson/site/built/data_raw/portal_mammals.sqlite] #> record_id month day year plot_id species_id sex hindfoot_length weight #> #> 1 1 7 16 1977 2 NL M 32 NA @@ -217,7 +217,7 @@ how many rows there are in total using `nrow()`: nrow(surveys) ``` -```{.output} +```output #> [1] NA ``` @@ -293,9 +293,9 @@ surveys %>% select(species_id, sex, weight) ``` -```{.output} +```output #> # Source: SQL [?? x 3] -#> # Database: sqlite 3.44.2 [/home/runner/work/R-ecology-lesson/R-ecology-lesson/site/built/data_raw/portal_mammals.sqlite] +#> # Database: sqlite 3.45.2 [/home/runner/work/R-ecology-lesson/R-ecology-lesson/site/built/data_raw/portal_mammals.sqlite] #> species_id sex weight #> #> 1 PF M 4 @@ -357,9 +357,9 @@ data_subset %>% select(-sex) ``` -```{.output} +```output #> # Source: SQL [?? x 2] -#> # Database: sqlite 3.44.2 [/home/runner/work/R-ecology-lesson/R-ecology-lesson/site/built/data_raw/portal_mammals.sqlite] +#> # Database: sqlite 3.45.2 [/home/runner/work/R-ecology-lesson/R-ecology-lesson/site/built/data_raw/portal_mammals.sqlite] #> species_id weight #> #> 1 PF 4 @@ -426,9 +426,9 @@ plots <- tbl(mammals, "plots") plots ``` -```{.output} -#> # Source: table [?? x 2] -#> # Database: sqlite 3.44.2 [/home/runner/work/R-ecology-lesson/R-ecology-lesson/site/built/data_raw/portal_mammals.sqlite] +```output +#> # Source: table<`plots`> [?? x 2] +#> # Database: sqlite 3.45.2 [/home/runner/work/R-ecology-lesson/R-ecology-lesson/site/built/data_raw/portal_mammals.sqlite] #> plot_id plot_type #> #> 1 1 Spectab exclosure @@ -451,9 +451,9 @@ The `plot_id` column also features in the `surveys` table: surveys ``` -```{.output} -#> # Source: table [?? x 9] -#> # Database: sqlite 3.44.2 [/home/runner/work/R-ecology-lesson/R-ecology-lesson/site/built/data_raw/portal_mammals.sqlite] +```output +#> # Source: table<`surveys`> [?? x 9] +#> # Database: sqlite 3.45.2 [/home/runner/work/R-ecology-lesson/R-ecology-lesson/site/built/data_raw/portal_mammals.sqlite] #> record_id month day year plot_id species_id sex hindfoot_length weight #> #> 1 1 7 16 1977 2 NL M 32 NA @@ -495,11 +495,11 @@ plots %>% collect() ``` -```{.output} +```output #> Joining with `by = join_by(plot_id)` ``` -```{.output} +```output #> # A tibble: 1,995 × 10 #> plot_id plot_type record_id month day year species_id sex #> @@ -557,7 +557,7 @@ left_join(surveys, species) %>% collect() ``` -```{.output} +```output #> Joining with `by = join_by(species_id)` ``` @@ -628,7 +628,7 @@ unique_genera <- left_join(surveys, plots) %>% collect() ``` -```{.output} +```output #> Joining with `by = join_by(plot_id)` #> Joining with `by = join_by(species_id)` ``` @@ -655,7 +655,7 @@ library(tidyverse) species <- read_csv("data_raw/species.csv") ``` -```{.output} +```output #> Rows: 54 Columns: 4 #> ── Column specification ──────────────────────────────────────────────────────── #> Delimiter: "," @@ -669,7 +669,7 @@ species <- read_csv("data_raw/species.csv") surveys <- read_csv("data_raw/surveys.csv") ``` -```{.output} +```output #> Rows: 35549 Columns: 9 #> ── Column specification ──────────────────────────────────────────────────────── #> Delimiter: "," @@ -684,7 +684,7 @@ surveys <- read_csv("data_raw/surveys.csv") plots <- read_csv("data_raw/plots.csv") ``` -```{.output} +```output #> Rows: 24 Columns: 2 #> ── Column specification ──────────────────────────────────────────────────────── #> Delimiter: "," @@ -708,7 +708,7 @@ my_db_file <- "data/portal-database-output.sqlite" my_db <- src_sqlite(my_db_file, create = TRUE) ``` -```{.warning} +```warning #> Warning: `src_sqlite()` was deprecated in dplyr 1.0.0. #> ℹ Please use `tbl()` directly with a database connection #> Call `lifecycle::last_lifecycle_warnings()` to see where this warning was @@ -722,8 +722,8 @@ Currently, our new database is empty, it doesn't contain any tables: my_db ``` -```{.output} -#> src: sqlite 3.44.2 [/home/runner/work/R-ecology-lesson/R-ecology-lesson/site/built/data/portal-database-output.sqlite] +```output +#> src: sqlite 3.45.2 [/home/runner/work/R-ecology-lesson/R-ecology-lesson/site/built/data/portal-database-output.sqlite] #> tbls: ``` diff --git a/CITATION.md b/CITATION.md index 1ddd1ce96..9ad5b11db 100644 --- a/CITATION.md +++ b/CITATION.md @@ -1,7 +1,7 @@ # CITATION -```{.warning} +```warning Warning in system("update-copyright.py"): error in running command ``` @@ -39,24 +39,24 @@ sponsored by the [ELIXIR project](https://elixir-europe.org/). You can cite this Data Carpentry lesson as follow: -```{.warning} +```warning Warning in file(con, "r"): cannot open file 'AUTHORS': No such file or directory ``` -```{.error} +```error Error in file(con, "r"): cannot open the connection ``` or as a BibTeX entry: -```{.warning} +```warning Warning in file(con, "r"): cannot open file 'AUTHORS': No such file or directory ``` -```{.error} +```error Error in file(con, "r"): cannot open the connection ``` diff --git a/config.yaml b/config.yaml deleted file mode 100644 index 506c7a11e..000000000 --- a/config.yaml +++ /dev/null @@ -1,86 +0,0 @@ -#------------------------------------------------------------ -# Values for this lesson. -#------------------------------------------------------------ - -# Which carpentry is this (swc, dc, lc, or cp)? -# swc: Software Carpentry -# dc: Data Carpentry -# lc: Library Carpentry -# cp: Carpentries (to use for instructor training for instance) -# incubator: The Carpentries Incubator -carpentry: 'dc' - -# Overall title for pages. -title: 'Data Analysis and Visualisation in R for Ecologists' - -# Date the lesson was created (YYYY-MM-DD, this is empty by default) -created: '2015-04-02' - -# Comma-separated list of keywords for the lesson -keywords: 'software, data, lesson, The Carpentries' - -# Life cycle stage of the lesson -# possible values: pre-alpha, alpha, beta, stable -life_cycle: 'stable' - -# License of the lesson materials (recommended CC-BY 4.0) -license: 'CC-BY 4.0' - -# Link to the source repository for this lesson -source: 'https://github.com/datacarpentry/R-ecology-lesson' - -# Default branch of your lesson -branch: 'main' - -# Who to contact if there are any issues -contact: 'curriculum@carpentries.org' - -# Navigation ------------------------------------------------ -# -# Use the following menu items to specify the order of -# individual pages in each dropdown section. Leave blank to -# include all pages in the folder. -# -# Example ------------- -# -# episodes: -# - introduction.md -# - first-steps.md -# -# learners: -# - setup.md -# -# instructors: -# - instructor-notes.md -# -# profiles: -# - one-learner.md -# - another-learner.md - -# Order of episodes in your lesson -episodes: -- 00-before-we-start.Rmd -- 01-intro-to-r.Rmd -- 02-starting-with-data.Rmd -- 03-dplyr.Rmd -- 04-visualization-ggplot2.Rmd -- 05-r-and-databases.Rmd - -# Information for Learners -learners: -- reference.md - -# Information for Instructors -instructors: -- instructor-notes.md - -# Learner Profiles -profiles: - -# Customisation --------------------------------------------- -# -# This space below is where custom yaml items (e.g. pinning -# sandpaper and varnish versions) should live - - -url: 'https://datacarpentry.github.io/R-ecology-lesson' diff --git a/fig/04-visualization-ggplot2-rendered-average-weight-time-facet-both-1.png 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