Univariate Regression Table

Creates a list of univariate regression tables with variable labels and standardized coefficients (if specified).

UnivariateRegressionTable() was renamed to MakeUnivariateRegressionTable() in SciDataReportR 20.5.0 to match the package's Make* naming convention. It remains available as a backwards-compatible synonym.

Usage

MakeUnivariateRegressionTable(
  data,
  outcome_vars,
  predictor_vars,
  covariates = NULL,
  Standardize = FALSE,
  Method = c("auto", "lm", "logistic"),
  LogisticExponentiate = TRUE,
  Data = lifecycle::deprecated(),
  OutcomeVars = lifecycle::deprecated(),
  PredictorVars = lifecycle::deprecated(),
  Covars = lifecycle::deprecated()
)

UnivariateRegressionTable(
  data,
  outcome_vars,
  predictor_vars,
  covariates = NULL,
  Standardize = FALSE,
  Method = c("auto", "lm", "logistic"),
  LogisticExponentiate = TRUE,
  Data = lifecycle::deprecated(),
  OutcomeVars = lifecycle::deprecated(),
  PredictorVars = lifecycle::deprecated(),
  Covars = lifecycle::deprecated()
)

Arguments

data

Dataframe containing the variables

outcome_vars

Character vector of outcome variable names

predictor_vars

Character vector of predictor variable names

covariates

Character vector of covariate variable names (default: NULL)

Standardize

Logical indicating whether to standardize numeric variables (default: FALSE)

Method

Character. Regression method to use. "auto" detects linear regression for numeric outcomes and logistic regression for two-level outcomes. "lm" and "logistic" force one model family for all outcomes.

LogisticExponentiate

Logical. If TRUE, logistic regression estimates are exponentiated and reported as odds ratios.

Data

Deprecated (since 19.15.0). Use data instead.

OutcomeVars

Deprecated (since 19.15.0). Use outcome_vars instead.

PredictorVars

Deprecated (since 19.15.0). Use predictor_vars instead.

Covars

Deprecated (since 19.15.0). Use covariates instead.

Value

A list containing:

• FormattedTable: A merged table with formatted regression results

• LargeTable: A merged table with unformatted regression results

• Results: A tidy dataframe with one row per estimated term. Columns: Outcome, OutcomeLabel, OutcomeFamily, EffectType, Predictor, PredictorLabel, Term, Level, TermLabel, N, Estimate, StdError, ConfLow, ConfHigh, PValue, Significant, and ReferenceValue. This dataframe can be filtered and passed directly to PlotForestFromTable().

• ModelSummaries: A list of fitted model objects

• Metadata: Outcome families and analysis settings