Package index
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OR.0.rm() - Remove zero elements
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OR.F.to.NA() - Convert FALSE values to NA
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OR.NA.rm() - Remove missing values
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OR.NA.to.0() - Convert missing values to zero
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OR.NA.to.F() - Convert missing values to FALSE
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OR.NA.to.empty() - Convert missing values to empty strings
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OR.as.numeric() - Convert strings to numeric after normalising minus signs and stripping digit grouping separators
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OR.string.to.binary() - Convert string variable to binary variable
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OR.delim.contains() - Detect delimited string elements (case-insensitive and whitespace-trimmed)
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OR.delim.intersect() - Check if two delimited strings share any element (case-insensitive and whitespace-trimmed)
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OR.delim.merge() - Merge delimited string elements pairwise (case-insensitive and whitespace-trimmed)
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OR.delim.replace() - Replace delimited string elements (case-insensitive and whitespace-trimmed)
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OR.delim.split() - Split delimited string elements (case-insensitive and whitespace-trimmed)
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OR.delim.subset() - Check if one delimited string is a subset of another (case-insensitive and whitespace-trimmed)
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OR.delim.table() - Frequency table of delimited string elements (case-insensitive and whitespace-trimmed)
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OR.delim.txclass() - Classify common medical oncology treatments (work in progress)
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OR.delim.txname() - Standardize common medical oncology treatment names (work in progress)
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OR.Google.TSP() - Travelling salesman distance via Google Routes API
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OR.Google.address() - Resolve address using Google Geocoding API
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OR.Google.distance() - Road distance between two addresses using Google Routes API
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OR.dmyY.to.Excel() - Convert mixed format dates to Microsoft Excel serial dates
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OR.mdyY.to.Excel() - Convert mixed format dates to Microsoft Excel serial dates
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OR.txlines.restart() - Identify treatment restart after a minimum treatment-free interval
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OR.txlines.timeline() - Construct treatment timelines (long format)
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OR.txlines.truncate() - Truncate stop dates by maximum duration
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OR.txlines.wide() - Convert treatment timelines to wide format
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OR.kMAD() - Small-sample MAD cutoff under normality
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OR.outliers() - Non-parametric outlier detection using the modified z-score method
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OR.outliers.rlm() - Polynomial linear non-parametric outlier detection
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OR.outliers.rlm.ggplot() - Polynomial linear non-parametric outlier plot
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OR.max() - Maximum with NA removal or NA if no valid entries
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OR.mean() - Arithmetic mean with NA removal or NA if no valid entries
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OR.min() - Minimum with NA removal or NA if no valid entries
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OR.mode() - Statistical mode
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OR.modefreq() - Frequency of the mode
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OR.rowleft() - Row-wise leftmost non-missing value
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OR.rowmax() - Row-wise maxima
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OR.rowmax.threshold() - Row-wise maxima below a threshold
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OR.rowmin() - Row-wise minima
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OR.rowmin.threshold() - Row-wise minima above a threshold
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OR.sum() - Sum with NA removal or NA if no valid entries
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OR.dose.vials() - Minimum-cost vial combination to achieve a target dose
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OR.dose.weights() - Stabilize and impute dosing weights within clusters
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OR.LOCF() - Last observation carried forward
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OR.collapse() - Collapse repeated measurements across IDs
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OR.permutations() - Enumerate permutations of k out of n items
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OR.read.csv.stub() - Read CSV files matching a path stub and combine by rows
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OR.survoutcome() - Survival outcomes
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AICR.Huber() - Robust Akaike information criterion for Huber M-estimation
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rlm.Huber() - Robust linear regression using Huber M-estimation