compute_lm_fit_df

Description

Fits a linear model of input dataframe

Usage

compute_lm_fit_df(
  data,
  xdata_col,
  ydata_col,
  conf_int = 0.95
)

Arguments

Name	Description
data	QTc dataset
xdata_col	an unquoted column name of x data
ydata_col	an unquoted column name of y data
conf_int	confidence interval

Returns

the fitted parameters of a lm of y ~ x

Examples

data <- preprocess(data)

 compute_lm_fit_df(data, RR, QT)

compute_lm_fit_df.R

# A tibble: 1 × 9
  intercept slope intercept_ci_lower intercept_ci_upper slope_ci_lower
      <dbl> <dbl>              <dbl>              <dbl>          <dbl>
1      280. 0.107               271.               289.         0.0974
# ℹ 4 more variables: slope_ci_upper <dbl>, p_value_intercept <dbl>,
#   p_value_slope <dbl>, conf_int <dbl>