Function reference • bsd.report

All functions

NA_logLik_: An NA-equivalent value for logLik

add_hash_to_file(): Create a string of the filename with its hash as an attribute to allow change detection in drake

as.data.frame(<power.htest>): Convert a power calculation to a table for reporting.

as_gg_list(): Make a gg_list object (a list of ggplots) for knit_printing

bayesian_decision_figure(): Make a figure describing the Bayesian decision-making based on a range of lower and upper reference values

check_expected_cols(): Verify that a data.frame has the expected columns present

coalesce_same(): Replace missing values with non-missing while confirming that non-missing values are the same.

comma_and(): Generate a list of text grammatically correctly

correct_case(): Correct the case of a vector to be in a preferred case

cumsum_reset(): Perform a cumulative sum resetting to zero whenever a reset value is found.

dated_warning_or_error(): Give a warning or error based on the current date

duplicated_including_first(): Determine duplicate elements (including the first duplicate)

emax_fun() inverse_emax(): Compute the Emax or its inverse.

extract_ggplot_legend(): Extract the legend from a ggplot2 object

filter_list(): Filter a list of data.frames

filter_maybe(): Filter if it works, otherwise, do nothing

find_less(): Find the choice that is less than a value

find_sub_table(): When data are provided as blocks of tables within a larger data set, extract those sub-tables as a list.

fun_no_na() max_no_na() min_no_na() median_no_na() mean_no_na() sd_no_na(): Perform an operation on a vector that may be empty or all NA with controlled output.

get_data_manage_standard_cols(): Get a vector of column names expected for a dataset.

grepl_multi_pattern(): Run grepl on a vector of patterns.

gsub_multi_pattern(): Substitute from a vector of patterns with a single replacement

impute_dtc() impute_dtc_ntod(): Impute dates and times when data are missing.

impute_dtc_helper_single_datetime() impute_dtc_helper_single_date() impute_dtc_helper_median_time() impute_dtc_helper_time_ntod(): Impute the date and time within a single study/subject/nominal time where there is only one date/time combo in the interval.

impute_dtc_simplify_time(): Confirm that the value looks like a time, and remove fully unknown times and zero seconds

impute_sd() impute_sd_sd() impute_sd_cv() impute_sd_se() impute_sd_ci() impute_sd_iqr() impute_sd_range(): Impute standard deviation from measures of dispersion.

impute_time_act_nom(): Impute actual time using nominal time when actual is unavailable

interesting_cols(): Find the columns that have more than one value

intermingle_list(): Intermingle elements from a set of lists

join_control() join_many_to_one() join_one_to_one(): Perform join where the outcome of the join is verifed to match an expected pattern.

knit_print(<formula>): Generate LaTeX math from an R formula

knit_print(<gg>): Print a ggplot object with space around it

knit_print(<gg_list>): Print a list of ggplot objects with space around each

knit_print(<sessionInfo>): Print the sessionInfo in a way that is usable in knitr/rmarkdown reports

latex_reference() latex_label() latex_label_clean() latex_label_first_last(): Generate a latex label or reference to the label

logLik.xpose_data logLik.NULL logLik.logical logLik.try-error: Extract Log-Likelihood

make_ci(): Make a confidence interval from a point estimate and standard error.

make_loq(): Extract numeric, below/above the lower/upper limits of quantification (LLQ and ULQ), and text data from a vector.

make_nested_id(): Generate a numeric identifier attempting to be stable to changes within groups.

make_tab_models_tested(): Create a tibble of tested models

median_character(): Return the median of a character vector

mindiff(): Find the minimum difference between a vector and a set of choices.

mindiff_after(): Return the minimum of the differences of x for the first value after the choices.

nonmem_column_order(): Output a data.frame with numeric columns on the left.

number_patterns: Regular expression patterns for numbers

paste_missing(): Concatenate strings dropping missing values

patch_data(): Patch one data set using another

pdf_combine_multi(): Combine multiple PDF files including optional selection of pages.

plot_grid_one_legend(): Extract the legend from the first figure, remove the legends from all plots, and put the legend at the end.

realize_addl_single(): Expand II and ADDL with NONMEM-like methods for a single subject

remove_ggplot_legend(): Remove the legend(s) from a ggplot

replace_synonym(): Replace values in a character string with their synonym

replace_synonym_list(): Use a regular expression to choose the synonyms in a list to replace in a data.frame.

search_fun_edge(): Go to the edge

search_fun_values_or_edge(): Go to a value or the edge

seq_exp(): Sequence generation on an expoential scale

set_baseline(): Set a single baseline value given input data.

setdiff_bidir(): Bidirectional setdiff rather than the default unidirectional version

single_value(): Ensure that a vector has only a single value throughout.

sprintf_data_frame() sprintf_data_frame_single(): Create new columns in a data.frame with sprintf results

translate_value(): Convert a value from something old to something new (using gsub)

unicode_to_ascii(): Convert from Unicode to ASCII