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0.7.8 bump
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david-barnett committed Jun 21, 2021
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2 changes: 1 addition & 1 deletion DESCRIPTION
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Package: microViz
Title: Microbiome Data Analysis and Visualization
Version: 0.7.7.9002
Version: 0.7.8
Authors@R:
person(given = "David",
family = "Barnett",
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2 changes: 1 addition & 1 deletion NEWS.md
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# microViz (development version)
# microViz 0.7.8

- `ord_plot` gains `vec_*` helper functions for generating lists for styling taxa and constraint vectors/arrows (`vec_constraint`, `vec_tax_all` and `vec_tax_sel`)

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2 changes: 1 addition & 1 deletion README.Rmd
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Expand Up @@ -71,7 +71,7 @@ if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocMana
BiocManager::install(c("phyloseq", "microbiome"))

# To install the latest "released" version of this package
devtools::install_github("david-barnett/[email protected].7") # check 0.7.7 is the latest release
devtools::install_github("david-barnett/[email protected].8") # check 0.7.8 is the latest release

# To install the very latest version:
devtools::install_github("david-barnett/microViz")
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80 changes: 36 additions & 44 deletions README.md
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Expand Up @@ -78,7 +78,7 @@ if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocMana
BiocManager::install(c("phyloseq", "microbiome"))

# To install the latest "released" version of this package
devtools::install_github("david-barnett/[email protected].7") # check 0.7.7 is the latest release
devtools::install_github("david-barnett/[email protected].8") # check 0.7.8 is the latest release

# To install the very latest version:
devtools::install_github("david-barnett/microViz")
Expand Down Expand Up @@ -131,7 +131,7 @@ ord_explore(pseq) # gif generated with microViz version 0.7.4 (plays at 1.75x sp
``` r
library(phyloseq)
library(dplyr)
#> Warning: package 'dplyr' was built under R version 4.0.4
#> Warning: package 'dplyr' was built under R version 4.0.5
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
Expand Down Expand Up @@ -265,8 +265,8 @@ aitchison_perm <- dist_permanova(
variables = "bmi_group + female"
)
#> Dropping samples with missings: 2
#> 2021-06-04 09:22:53 - Starting PERMANOVA with 99 perms with 1 processes
#> 2021-06-04 09:22:53 - Finished PERMANOVA
#> 2021-06-21 21:10:24 - Starting PERMANOVA with 99 perms with 1 processes
#> 2021-06-21 21:10:24 - Finished PERMANOVA
# view the permanova results
perm_get(aitchison_perm) %>% as.data.frame()
#> Df SumOfSqs R2 F Pr(>F)
Expand Down Expand Up @@ -294,8 +294,8 @@ your permanova directly using the ord\_plot function with constraints.
``` r
perm2 <- dist_permanova(data = aitchison_dists, variables = c("weight", "female"), seed = 321)
#> Dropping samples with missings: 2
#> 2021-06-04 09:22:53 - Starting PERMANOVA with 999 perms with 1 processes
#> 2021-06-04 09:22:54 - Finished PERMANOVA
#> 2021-06-21 21:10:24 - Starting PERMANOVA with 999 perms with 1 processes
#> 2021-06-21 21:10:26 - Finished PERMANOVA
perm_get(perm2)
#> Permutation test for adonis under reduced model
#> Marginal effects of terms
Expand Down Expand Up @@ -381,53 +381,45 @@ and by participating in this project you agree to abide by its terms.
``` r
sessionInfo()
#> R version 4.0.3 (2020-10-10)
#> Platform: x86_64-pc-linux-gnu (64-bit)
#> Running under: Ubuntu 18.04.5 LTS
#> Platform: x86_64-w64-mingw32/x64 (64-bit)
#> Running under: Windows 10 x64 (build 19042)
#>
#> Matrix products: default
#> BLAS: /usr/lib/x86_64-linux-gnu/openblas/libblas.so.3
#> LAPACK: /usr/lib/x86_64-linux-gnu/libopenblasp-r0.2.20.so
#>
#> locale:
#> [1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C LC_TIME=en_GB.UTF-8
#> [4] LC_COLLATE=en_GB.UTF-8 LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_GB.UTF-8
#> [7] LC_PAPER=en_GB.UTF-8 LC_NAME=C LC_ADDRESS=C
#> [10] LC_TELEPHONE=C LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C
#> [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252
#> [3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C
#> [5] LC_TIME=English_United States.1252
#>
#> attached base packages:
#> [1] stats graphics grDevices utils datasets methods base
#>
#> other attached packages:
#> [1] ggplot2_3.3.3 dplyr_1.0.6 phyloseq_1.34.0 microViz_0.7.6.9002
#> [5] devtools_2.4.0 usethis_2.0.1 pkgdown_1.6.1
#> [1] ggplot2_3.3.3 dplyr_1.0.6 phyloseq_1.34.0 microViz_0.7.8
#>
#> loaded via a namespace (and not attached):
#> [1] nlme_3.1-149 matrixStats_0.58.0 fs_1.5.0 RColorBrewer_1.1-2
#> [5] progress_1.2.2 rprojroot_2.0.2 tools_4.0.3 utf8_1.2.1
#> [9] R6_2.5.0 vegan_2.5-7 DBI_1.1.1 BiocGenerics_0.36.1
#> [13] mgcv_1.8-33 colorspace_2.0-1 GetoptLong_1.0.5 permute_0.9-5
#> [17] rhdf5filters_1.2.1 ade4_1.7-16 withr_2.4.2 tidyselect_1.1.1
#> [21] prettyunits_1.1.1 processx_3.5.1 compiler_4.0.3 microbiome_1.12.0
#> [25] cli_2.5.0 Biobase_2.50.0 Cairo_1.5-12.2 TSP_1.1-10
#> [29] desc_1.3.0 labeling_0.4.2 scales_1.1.1 callr_3.7.0
#> [33] stringr_1.4.0 digest_0.6.27 rmarkdown_2.7 XVector_0.30.0
#> [37] pkgconfig_2.0.3 htmltools_0.5.1.1 sessioninfo_1.1.1 highr_0.9
#> [41] fastmap_1.1.0 GlobalOptions_0.1.2 rlang_0.4.11 shape_1.4.6
#> [45] farver_2.1.0 generics_0.1.0 jsonlite_1.7.2 magrittr_2.0.1
#> [49] biomformat_1.18.0 Matrix_1.3-2 Rcpp_1.0.6 munsell_0.5.0
#> [53] S4Vectors_0.28.1 Rhdf5lib_1.12.1 fansi_0.5.0 ape_5.5
#> [57] lifecycle_1.0.0 stringi_1.6.2 yaml_2.2.1 MASS_7.3-53
#> [61] zlibbioc_1.36.0 rhdf5_2.34.0 pkgbuild_1.2.0 Rtsne_0.15
#> [65] plyr_1.8.6 grid_4.0.3 parallel_4.0.3 crayon_1.4.1
#> [69] lattice_0.20-41 Biostrings_2.58.0 splines_4.0.3 multtest_2.46.0
#> [73] circlize_0.4.12 hms_1.1.0 magick_2.7.1 ComplexHeatmap_2.6.2
#> [77] knitr_1.32 ps_1.6.0 pillar_1.6.1 igraph_1.2.6
#> [81] rjson_0.2.20 reshape2_1.4.4 codetools_0.2-18 stats4_4.0.3
#> [85] pkgload_1.2.1 glue_1.4.2 corncob_0.2.0 evaluate_0.14
#> [89] data.table_1.14.0 remotes_2.3.0 png_0.1-7 vctrs_0.3.8
#> [93] foreach_1.5.1 testthat_3.0.2 gtable_0.3.0 purrr_0.3.4
#> [97] tidyr_1.1.3 clue_0.3-59 assertthat_0.2.1 cachem_1.0.5
#> [101] xfun_0.22 survival_3.2-7 seriation_1.2-9 tibble_3.1.2
#> [105] iterators_1.0.13 registry_0.5-1 memoise_2.0.0 IRanges_2.24.1
#> [109] cluster_2.1.0 ellipsis_0.3.2
#> [1] nlme_3.1-152 matrixStats_0.58.0 RColorBrewer_1.1-2 progress_1.2.2
#> [5] tools_4.0.3 utf8_1.2.1 R6_2.5.0 vegan_2.5-7
#> [9] DBI_1.1.1 BiocGenerics_0.36.1 mgcv_1.8-34 colorspace_2.0-1
#> [13] permute_0.9-5 rhdf5filters_1.2.1 ade4_1.7-16 GetoptLong_1.0.5
#> [17] withr_2.4.2 tidyselect_1.1.1 prettyunits_1.1.1 compiler_4.0.3
#> [21] microbiome_1.12.0 Biobase_2.50.0 Cairo_1.5-12.2 TSP_1.1-10
#> [25] labeling_0.4.2 scales_1.1.1 stringr_1.4.0 digest_0.6.27
#> [29] rmarkdown_2.7 XVector_0.30.0 pkgconfig_2.0.3 htmltools_0.5.1.1
#> [33] highr_0.8 rlang_0.4.11 GlobalOptions_0.1.2 shape_1.4.6
#> [37] generics_0.1.0 farver_2.1.0 jsonlite_1.7.2 magrittr_2.0.1
#> [41] biomformat_1.18.0 Matrix_1.2-18 Rcpp_1.0.6 munsell_0.5.0
#> [45] S4Vectors_0.28.1 Rhdf5lib_1.12.1 fansi_0.5.0 ape_5.5
#> [49] lifecycle_1.0.0 stringi_1.5.3 yaml_2.2.1 MASS_7.3-53.1
#> [53] zlibbioc_1.36.0 rhdf5_2.34.0 Rtsne_0.15 plyr_1.8.6
#> [57] grid_4.0.3 parallel_4.0.3 crayon_1.4.1 lattice_0.20-41
#> [61] Biostrings_2.58.0 splines_4.0.3 multtest_2.46.0 circlize_0.4.12
#> [65] hms_1.1.0 knitr_1.31 ComplexHeatmap_2.6.2 pillar_1.6.1
#> [69] igraph_1.2.6 rjson_0.2.20 reshape2_1.4.4 codetools_0.2-18
#> [73] stats4_4.0.3 glue_1.4.2 corncob_0.2.0 evaluate_0.14
#> [77] data.table_1.14.0 vctrs_0.3.8 png_0.1-7 foreach_1.5.1
#> [81] gtable_0.3.0 purrr_0.3.4 tidyr_1.1.3 clue_0.3-59
#> [85] assertthat_0.2.1 xfun_0.21 survival_3.2-7 seriation_1.2-9
#> [89] tibble_3.1.1 iterators_1.0.13 registry_0.5-1 IRanges_2.24.1
#> [93] cluster_2.1.1 ellipsis_0.3.2
```
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