all_metrics: Calculate all metrics in iglu
In stevebroll/iglu: Interpreting Glucose Data from Continuous Glucose Monitors

Description Usage Arguments Details Value Examples

The function all_metrics runs all of the iglu functions: ADRR, AUC, CONGA, CV_GLU, CV_Measures, eA1C, GMI, GRADE, GRADE_Euglycemia, GRADE_Hyperglycemia, GRADE_Hypoglycemia, GVP, HBGI, LBGI, Hyper_Index, Hypo_Index, IGC, IQR_GLU, J_Index, M_Value, MAG, Mad_GLU, MAGE, MODD, Percent_Above, Percent_Below, Percent_In_Range, Range, SD_GLU, SD_Measures, SD_ROC, Summary and combines them into a tibble object.

1	all_metrics(data)

data

DataFrame object with column names "id", "time", and "gl".

Returns a tibble object with 1 row for each subject, and one column per metric: a column for subject id, a column for adrr value, a column for hourly_auc value, a column for COGI value, a column for CONGA(24) value, a column for cv value, a column for CVmean value, a column for CVsd value, a column for ea1c value, a column for gmi value, a column for grade value, a column for grade_eugly value, a column for grade_hyper value, a column for grade_hypo value, a column for gvp value, a column for hbgi value, a column for lbgi value, a column for hyper_index value, a column for hypo_index value, a column for igc value, a column for iqr value, a column for j_index value, a column for m_value value, a column for MAD value, a column for MAG value, a column for mage value, a column for modd value, a column for above_140 value, a column for above_180 value, a column for above_250 value, a column for below_54 value, a column for below_70 value, a column for in_range_63_140 value, a column for in_range_70_180 value, a column for range value, a column for sd value, a column for SdW value, a column for SdHHMM value, a column for SdWSH value, a column for SdDM value, a column for SdB value, a column for SdBDM value, a column for sd_roc value, a column for Min. value, a column for 1st Qu. value, a column for Median value, a column for Mean value, a column for 3rd Qu. value, a column for Max. value.

If a data.frame object is passed, then a tibble object with 1 row for each subject, and one column for each metric is returned: a column for subject id, a column for adrr value, a column for hourly_auc value, a column for COGI value, a column for CONGA(24) value, a column for cv value, a column for CVmean value, a column for CVsd value, a column for ea1c value, a column for gmi value, a column for grade value, a column for grade_eugly value, a column for grade_hyper value, a column for grade_hypo value, a column for gvp value, a column for hbgi value, a column for lbgi value, a column for hyper_index value, a column for hypo_index value, a column for igc value, a column for iqr value, a column for j_index value, a column for m_value value, a column for MAG value, a column for MAD value, a column for mage value, a column for modd value, a column for above_140 value, a column for above_180 value, a column for above_250 value, a column for below_54 value, a column for below_70 value, a column for in_range_63_140 value, a column for in_range_70_180 value, a column for range value, a column for sd value, a column for SdW value, a column for SdHHMM value, a column for SdWSH value, a column for SdDM value, a column for SdB value, a column for SdBDM value, a column for sd_roc value, a column for Min. value, a column for 1st Qu. value, a column for Median value, a column for Mean value, a column for 3rd Qu. value, a column for Max. value.