CRAN Package Check Results for Package MF.beta4

Last updated on 2025-09-06 09:50:57 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.1.1 17.13 142.37 159.50 ERROR
r-devel-linux-x86_64-debian-gcc 1.1.1 11.35 101.44 112.79 OK
r-devel-linux-x86_64-fedora-clang 1.1.1 271.56 OK
r-devel-linux-x86_64-fedora-gcc 1.1.1 270.16 OK
r-devel-windows-x86_64 1.1.1 19.00 137.00 156.00 ERROR
r-patched-linux-x86_64 1.1.1 16.32 139.98 156.30 OK
r-release-linux-x86_64 1.1.1 17.34 137.62 154.96 OK
r-release-macos-arm64 1.1.1 68.00 OK
r-release-macos-x86_64 1.1.1 131.00 OK
r-release-windows-x86_64 1.1.1 18.00 146.00 164.00 OK
r-oldrel-macos-arm64 1.1.1 64.00 OK
r-oldrel-macos-x86_64 1.1.1 91.00 OK
r-oldrel-windows-x86_64 1.1.1 26.00 179.00 205.00 OK

Check Details

Version: 1.1.1
Check: examples
Result: ERROR Running examples in ‘MF.beta4-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: MFggplot > ### Title: ggplot2 extension for a MF1_single or MF2_multiple object > ### Aliases: MFggplot > > ### ** Examples > > > 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 > > ### Use the entire of 209 plots data from six countries > > > > > ### Use partial data to calculate multifunctionality based on 3 plots in each country, not by pairs > ### (Take the first 3 plots in each country) > > data("forest_function_data_raw") > data("forest_biodiversity_data") > > forest_function_data_raw_3plots <- forest_function_data_raw[c(1:3,29:31,67:69,103:105, + 146:148,174:176),] > forest_function_data_normalized_3plots <- + function_normalization(data = forest_function_data_raw_3plots, + fun_cols = 6:31, + negative = c("soil_cn_ff_10","wue"), + by_group = "country") > forest_biodiversity_data_3plots <- + forest_biodiversity_data[c(1:6,49:52,141:148,230:232,351:355,411:417),] > > output5 <- MF2_multiple(func_data = forest_function_data_normalized_3plots[,6:32], + species_data = forest_biodiversity_data_3plots, + weight = 1, + by_group = "country", by_pair = FALSE) > > ## BEF relationships: display fitted line of linear model > figure_all_plots <- MFggplot(output5, model = "lm", caption = "slope") Error in ll(object) : could not find function "ll" Calls: MFggplot ... tibble_quos -> eval_tidy -> <Anonymous> -> AIC.default Execution halted Flavor: r-devel-linux-x86_64-debian-clang

Version: 1.1.1
Check: examples
Result: ERROR Running examples in 'MF.beta4-Ex.R' failed The error most likely occurred in: > ### Name: MFggplot > ### Title: ggplot2 extension for a MF1_single or MF2_multiple object > ### Aliases: MFggplot > > ### ** Examples > > > 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 > > ### Use the entire of 209 plots data from six countries > > > > > ### Use partial data to calculate multifunctionality based on 3 plots in each country, not by pairs > ### (Take the first 3 plots in each country) > > data("forest_function_data_raw") > data("forest_biodiversity_data") > > forest_function_data_raw_3plots <- forest_function_data_raw[c(1:3,29:31,67:69,103:105, + 146:148,174:176),] > forest_function_data_normalized_3plots <- + function_normalization(data = forest_function_data_raw_3plots, + fun_cols = 6:31, + negative = c("soil_cn_ff_10","wue"), + by_group = "country") > forest_biodiversity_data_3plots <- + forest_biodiversity_data[c(1:6,49:52,141:148,230:232,351:355,411:417),] > > output5 <- MF2_multiple(func_data = forest_function_data_normalized_3plots[,6:32], + species_data = forest_biodiversity_data_3plots, + weight = 1, + by_group = "country", by_pair = FALSE) > > ## BEF relationships: display fitted line of linear model > figure_all_plots <- MFggplot(output5, model = "lm", caption = "slope") Error in ll(object) : could not find function "ll" Calls: MFggplot ... tibble_quos -> eval_tidy -> <Anonymous> -> AIC.default Execution halted Flavor: r-devel-windows-x86_64