View source: R/count_matches.R
count_matches | R Documentation |
Given a use pattern string, count the number of times that pattern contains a certain substance use indicator
count_matches( use_pattern, match_is, start = 1, end = -1, mixed_results_are = NULL, mixed_weight = 0.5, proportion = FALSE )
use_pattern |
A character string showing the daily, by visit, or weekly substance use pattern for a single subject |
match_is |
A single character value of the use indicator of interest;
e.g. |
start |
These two arguments give the integer range wherein to look for the use sub-pattern of interest. Usually, start should be the week of randomization. Defaults to 1. |
end |
The end of the detection range. This is often the end of followup (denoted by -1, the default value, which represents the last item in the string), or this could be a set number of weeks or visits, such as 12 weeks or 48 visits. |
mixed_results_are |
A single character value indicating a partial use
week; e.g. |
mixed_weight |
A fraction showing the proportional use value for a mixed result week. For example, some studies state that a positive UDS counts as three days of use (3/7), while other studies regard a positive UDS as five days of use (5/7). This value should be substance-specific, but we default to 0.5. |
proportion |
Should this function return the count or proportion of
matching use periods? Defaults to |
At current, we allow for many symbols in the use pattern "word", such as "_" for missing by study design, "o" missing for protocol non-compliance (the most common form of missing), "+" for positive, "-" for negative, and "*" for mixed positive and negative results (this usually comes up when the visit represents multiple days and there are both positive and negative results in those days; for example, a subject is tested weekly; they provided a positive test on Tuesday but came back to provide a negative test the following day).
A single integer (real) value measuring the count (proportion) of the use periods for which the subject had the substance use value of interest
# This pattern represents 26 weeks of treatment UDS pattern_char <- "++++*o-------+--+-o-o-o+o+" # Replace any missing UDS ("o") with positive cleanPattern_char <- recode_missing_visits(pattern_char) # Example: find the proportion of the subject's negative use weeks after # randomization but before the end of a 12-week observation # period count_matches( cleanPattern_char, match_is = "-", end = 12, mixed_results_are = "*", mixed_weight = 0.5, proportion = TRUE ) # Example: find the number of times the subject used non-study opioids # after being clean at least one week count_matches( cleanPattern_char, match_is = "-+" )
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