CRAN Package Check Results for Package fplot

Last updated on 2025-12-19 19:50:49 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.1.0 25.91 56.28 82.19 NOTE
r-devel-linux-x86_64-debian-gcc 1.1.0 12.71 38.51 51.22 ERROR
r-devel-linux-x86_64-fedora-clang 1.1.0 48.00 NOTE
r-devel-linux-x86_64-fedora-gcc 1.1.0 37.00 101.34 138.34 ERROR
r-devel-windows-x86_64 1.1.0 26.00 82.00 108.00 NOTE
r-patched-linux-x86_64 1.1.0 21.68 52.34 74.02 NOTE
r-release-linux-x86_64 1.1.0 21.60 51.09 72.69 NOTE
r-release-macos-arm64 1.1.0 NOTE
r-release-macos-x86_64 1.1.0 16.00 61.00 77.00 NOTE
r-release-windows-x86_64 1.1.0 27.00 84.00 111.00 NOTE
r-oldrel-macos-arm64 1.1.0 NOTE
r-oldrel-macos-x86_64 1.1.0 19.00 42.00 61.00 NOTE
r-oldrel-windows-x86_64 1.1.0 33.00 104.00 137.00 NOTE

Check Details

Version: 1.1.0
Check: Rd files
Result: NOTE checkRd: (-1) plot_lines.Rd:66: Lost braces 66 | moderator. By default it is equal to \8code{c(19, 17, 15, 8, 5, 4, 3, 1)}.} | ^ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64

Version: 1.1.0
Check: examples
Result: ERROR Running examples in ‘fplot-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: plot_distr > ### Title: Plot distributions, possibly conditional > ### Aliases: plot_distr > > ### ** Examples > > > # Data on publications from U.S. institutions > data(us_pub_econ) > > # 0) Let's set a dictionary for a better display of variables > setFplot_dict(c(institution = "U.S. Institution", jnl_top_25p = "Top 25% Pub.", + jnl_top_5p = "Top 5% Pub.", Frequency = "Publications")) > > # 1) Let's plot the distribution of publications by institutions: > plot_distr(~institution, us_pub_econ) > > # When there is only the variable, you can use a vector instead: > plot_distr(us_pub_econ$institution) > > # 2) Now the production of institution weighted by journal quality > plot_distr(jnl_top_5p ~ institution, us_pub_econ) > > # You can plot several variables: > plot_distr(1 + jnl_top_25p + jnl_top_5p ~ institution, us_pub_econ) > > # 3) Let's plot the journal distribution for the top 3 institutions > > # We can get the data from the previous graph > graph_data = plot_distr(jnl_top_5p ~ institution, us_pub_econ, plot = FALSE) > # And then select the top universities > top3_instit = graph_data$x[1:3] > top5_instit = graph_data$x[1:5] # we'll use it later > > # Now the distribution of journals > plot_distr(~ journal | institution, us_pub_econ[institution %in% top3_instit]) > # Alternatively, you can use the argument mod.select: > plot_distr(~ journal | institution, us_pub_econ, mod.select = top3_instit) > > # 3') Same graph as before with "other" column, 5 institutions > plot_distr(~ journal | institution, us_pub_econ, + mod.select = top5_instit, other = TRUE) > > # > # Example with continuous data > # > > # regular histogram > plot_distr(iris$Sepal.Length) > > # now splitting by species: > plot_distr(~ Sepal.Length | Species, iris) > > # idem but the three distr. are separated: > plot_distr(~ Sepal.Length | Species, iris, mod.method = "split") > > # Now the three are stacked > plot_distr(~ Sepal.Length | Species, iris, mod.method = "stack") Error in `[.data.table`(new_coords, , `:=`(ytop_new, cumsum(ytop)), by = x_nb) : attempt access index 7/7 in VECTOR_ELT Calls: plot_distr -> [ -> [.data.table Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.1.0
Check: examples
Result: ERROR Running examples in ‘fplot-Ex.R’ failed The error most likely occurred in: > ### Name: plot_distr > ### Title: Plot distributions, possibly conditional > ### Aliases: plot_distr > > ### ** Examples > > > # Data on publications from U.S. institutions > data(us_pub_econ) > > # 0) Let's set a dictionary for a better display of variables > setFplot_dict(c(institution = "U.S. Institution", jnl_top_25p = "Top 25% Pub.", + jnl_top_5p = "Top 5% Pub.", Frequency = "Publications")) > > # 1) Let's plot the distribution of publications by institutions: > plot_distr(~institution, us_pub_econ) > > # When there is only the variable, you can use a vector instead: > plot_distr(us_pub_econ$institution) > > # 2) Now the production of institution weighted by journal quality > plot_distr(jnl_top_5p ~ institution, us_pub_econ) > > # You can plot several variables: > plot_distr(1 + jnl_top_25p + jnl_top_5p ~ institution, us_pub_econ) > > # 3) Let's plot the journal distribution for the top 3 institutions > > # We can get the data from the previous graph > graph_data = plot_distr(jnl_top_5p ~ institution, us_pub_econ, plot = FALSE) > # And then select the top universities > top3_instit = graph_data$x[1:3] > top5_instit = graph_data$x[1:5] # we'll use it later > > # Now the distribution of journals > plot_distr(~ journal | institution, us_pub_econ[institution %in% top3_instit]) > # Alternatively, you can use the argument mod.select: > plot_distr(~ journal | institution, us_pub_econ, mod.select = top3_instit) > > # 3') Same graph as before with "other" column, 5 institutions > plot_distr(~ journal | institution, us_pub_econ, + mod.select = top5_instit, other = TRUE) > > # > # Example with continuous data > # > > # regular histogram > plot_distr(iris$Sepal.Length) > > # now splitting by species: > plot_distr(~ Sepal.Length | Species, iris) > > # idem but the three distr. are separated: > plot_distr(~ Sepal.Length | Species, iris, mod.method = "split") > > # Now the three are stacked > plot_distr(~ Sepal.Length | Species, iris, mod.method = "stack") Error in `[.data.table`(new_coords, , `:=`(ytop_new, cumsum(ytop)), by = x_nb) : attempt access index 7/7 in VECTOR_ELT Calls: plot_distr -> [ -> [.data.table Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc