Sort/filter by p-values

Sort/filter by p-values

Usage

sort_p(x, q = FALSE)

filter_p(x, q = FALSE, t = 0.05)

Arguments

x

(gtsummary)
An object created using gtsummary functions

q

(scalar logical)
When TRUE will check the q-value column rather than the p-value. Default is FALSE.

t

(scalar numeric)
Threshold below which values will be retained. Default is 0.05.

Author

Karissa Whiting, Daniel D. Sjoberg

Examples

# Example 1 ----------------------------------
trial %>%
  select(age, grade, response, trt) %>%
  tbl_summary(by = trt) %>%
  add_p() %>%
  filter_p(t = 0.8) %>%
  sort_p()


  
Characteristic
      
Drug A

N = 981
      
Drug B

N = 1021
      
p-value2
    
Tumor Response
28 (29%)
33 (34%)
0.5
    Unknown
3
4

Age
46 (37, 60)
48 (39, 56)
0.7
    Unknown
7
4

1 Median (Q1, Q3); n (%)
    
2 Wilcoxon rank sum test; Pearson’s Chi-squared test
    

# Example 2 ----------------------------------
glm(response ~ trt + grade, trial, family = binomial(link = "logit")) %>%
  tbl_regression(exponentiate = TRUE) %>%
  sort_p()


  
Characteristic
      
OR
      
95% CI
      
p-value
    
Chemotherapy Treatment





    Drug A
—
—

    Drug B
1.21
0.66, 2.24
0.5
Grade





    I
—
—

    II
0.94
0.44, 1.98
0.9
    III
1.09
0.52, 2.27
0.8
Abbreviations: CI = Confidence Interval, OR = Odds Ratio