| adjust_dose_time | adjust the dose time | 
| append.CovT | Append time-varying covariates to an event data frame | 
| append.events | Append event data frames | 
| as.data.frame.domain.metadata | Format a metadata object as a dataframe | 
| as_numeric | safely coerce to numeric | 
| bind_rows | bind rows for dataframes with units | 
| blank_to_missing | Convert whitespace to a missing value | 
| boxcox | Applies Box-Cox transformation with known lambda | 
| calc_addl | calc_addl is a vectorized function which provides the number... | 
| cfb_abs | absolute change from baseline | 
| cfb_percent | percent change from baseline | 
| cfb_ratio | ratio change from baseline | 
| combine_rows_by_tol | Combine data frame rows by tolerance on a value | 
| compare_mappings | compare_mappings | 
| conc_to_molar | conc_to_molar converts a concentration to molar | 
| conditional_values | Create a character column based on named conditions | 
| contains_one_of | Check if a value matches multiple regular expressions | 
| contains_one_of_ | Check if a value matches multiple regular expressions | 
| convert | convert units to a chosen value | 
| convert_units_from_list | convert_units_from_list converts units for all output columns... | 
| count_if | Increments a counter when the criteria is met | 
| covariate_plots | Summary plot of dataset | 
| crcl | Compute creatinine clearance | 
| createDDD | Generate Data Definition Table | 
| create.domain | Create a domain object from file and mappings information | 
| DataManagement | Create a Data Management Object | 
| date_in_range | Test where a date falls relative to a date range | 
| datetimeformat | Date and Time formatting for text output | 
| default_missing_column | Create a default value in a dataframe column if the column... | 
| diagnostics.domain | ## Diagnostics ## diagnostic functions should return a list... | 
| diagnostics_premerge | Pre-merge diagnostic checks | 
| domain | Create a domain object from a list of settings. | 
| domains.save.metadata | Save meta data for a list of domains | 
| dot- | Generate a character vector from unquoted names | 
| dot-getDependencyList | Title | 
| elapsed.time | Compute elapsed time from beginning of POSIX vector | 
| enumerate | Give numeric identifiers to a vector of values | 
| exclusion_codes | Create an exclusion column | 
| expand_addl | expand rows that correspond to addl records | 
| fill | Fill NA values in columns | 
| fill_occasion | Fills occasion in a dataframe | 
| find_mismatched_TRT | Find mismatched Treatment codes across domains | 
| find_subjects_no_dosing | Find subjects with no dosing records | 
| find_subjects_no_obs | Find subjects with no observation records | 
| find_subjects_placebo_obs | Find placebo subjects with positive DV | 
| formatDDD | Format a DDD object as a dataframe | 
| get_addl_dosing | derive necessary information about addl and append to given... | 
| get_baseline | Find a baseline value | 
| getCov | Processes domain data for merged covariates | 
| getCovT | Processes domain data for time-varying covariates | 
| getDomain | Processes source data | 
| getDV | Processes domain data for specified dependent variables (DV) | 
| get_from_domain | Get a column from a domain | 
| getIndividualDoses | Processes domain data for individual doses | 
| get_metadata | Gather metadata from a data frame | 
| get_nm_attributes | Get column attributes for nonmem formatted output | 
| guess_dosing_sequence | guess dosing sequence based on time of day | 
| impute_fn | impute a value to all missing | 
| impute_value | impute by a calculated value for any NA's in a column impute... | 
| increment_to_nominal_time | increment a time record to some nominal time | 
| is_file_writable | Check if a file is writable | 
| is.integral | Determine if a value can be coerced to an integer type | 
| is.number | Determine if a value can be coerced to a numeric type | 
| iso_duration | Convert ISO duration to numeric | 
| is_one_of | Test if value in x is one of several values | 
| iso_to_posix | Convert an ISO8601 date/time to POSIXct | 
| load.domain | Load a domain from a domain object or from settings | 
| load.domain.mappings | Load mappings list from mappings file | 
| load_excel | Load an Excel sheet from a workbook | 
| load_sas7bdat | Load a sas7bdat file into a domain object | 
| load_table | Load a delimited text file | 
| load_xpt | Load a sas xport file into a domain object | 
| locf | Fill NA values in a vector using previous non-NA value | 
| lookup_in_domain | Lookup a value in domain data | 
| lookup_intervals | lookup intervals is a vectorized function that returns the... | 
| merge.Cov | Merge events with covariates | 
| numerize | Combine several numbers together into a string | 
| occasion | Enumerate on condition 1 when followed by condition 2 | 
| OutputDataset | Format a dataframe for output to nonmem | 
| overlay_dosing | overlay dosing records onto an existing ggplot | 
| parse_usubjid | Recombine pieces of a delimited string | 
| partial_join | Join two dataframes with partial matching of keys | 
| plot_individual | Plot individual subject profiles in NONMEM dataset | 
| plot_outlier_byCuts | Plot outliers by cutpoints | 
| plot_spaghetti | Plot NONMEM data as spaghetti plot | 
| posix_to_date | convert posixct to date | 
| post.merge.refactoring | Perform routine generic checks on NONMEM data and apply... | 
| post_process_dosing | Apply ADDL and Missing doses to a dosing data frame | 
| post_transform_message | Send a message during a piped operation | 
| power | Applies a power transform y=a*x^b | 
| pre.merge | Pre-merge one domain with another | 
| Query | Create a Query object | 
| recode_values | Recode/Replace values in a data frame column | 
| relative_time | relative time such that first record is at time 0 | 
| replace_values | Replace values in a vector with supplied values | 
| resolve_units | resolve unit requirements across data frames | 
| R.installation.qualification | Run installation qualification for PMDatR in current R... | 
| separate_rows | Split rows based on a delimited string column | 
| set_units | set_units sets the units for a given vector | 
| set_units_from_list | set_units_from_list sets units for all columns that match a... | 
| spread_ | spread that understands units | 
| statfuns | Summary functions overridden by PMDatR | 
| strip_units | strip attributes from a vector if they exist | 
| strip_units_df | strip all unit columns from a dataframe | 
| summary_table | Summary table of dataset | 
| table_dv | Summarise observations by EVID in NONMEM dataset | 
| table_outlier_byCuts | Summarise DV by strata or cutpoint to look for outliers | 
| table_time | Summarise time variables in NONMEM dataset | 
| time_after_criteria | time_after_criteria calculates the time after some filter... | 
| time_after_dose | time after dose | 
| time_after_first_dose | time after the first dose | 
| time_diff | Time difference | 
| time_of_first_dose | Time of the first dose | 
| time_varying_codes | Convert a dataframe of codes with start/stop time to a flat,... | 
| transform.tbl_df | Add new variables to a data_frame | 
| unit_cols | get the units columns present in a dataframe and what the... | 
| units.pmunits | retrieve measurement units from 'pmunits' object | 
| visualize_dosing | visualize dosing history | 
| WriteCode.DataManagement | Write R functions corresponding to a DataManagement objet | 
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