APCEsummaryipw {aihuman}

Summary of APCE for frequentist analysis

Description

Summary of average principal causal effects (APCE) with ordinal decision with frequentist results.

Usage

APCEsummaryipw(
  G1_est,
  G2_est,
  G3_est,
  G4_est,
  G5_est,
  G1_boot,
  G2_boot,
  G3_boot,
  G4_boot,
  G5_boot,
  name.group = c("Overall", "Female", "Male", "Non-white\nMale", "White\nMale")
)

Arguments

G1_est

List generated from CalAPCEipw for the first subgroup.

G2_est

List generated from CalAPCEipw for the second subgroup.

G3_est

List generated from CalAPCEipw for the third subgroup.

G4_est

List generated from CalAPCEipw for the fourth subgroup.

G5_est

List generated from CalAPCEipw for the fifth subgroup.

G1_boot

List generated from BootstrapAPCEipw for the first subgroup.

G2_boot

List generated from BootstrapAPCEipw for the second subgroup.

G3_boot

List generated from BootstrapAPCEipw for the third subgroup.

G4_boot

List generated from BootstrapAPCEipw for the fourth subgroup.

G5_boot

List generated from BootstrapAPCEipw for the fifth subgroup.

name.group

A list of character vectors for the label of five subgroups.

Value

A data.frame that consists of mean and quantiles (2.5

Examples

data(synth)
synth$SexWhite = synth$Sex * synth$White
freq_apce = CalAPCEipw(synth)
boot_apce = BootstrapAPCEipw(synth, rep = 10)
# subgroup analysis
data_s0 = subset(synth, synth$Sex==0,select=-c(Sex,SexWhite))
freq_s0 = CalAPCEipw(data_s0)
boot_s0 = BootstrapAPCEipw(data_s0, rep = 10)
data_s1 = subset(synth, synth$Sex==1,select=-c(Sex,SexWhite))
freq_s1 = CalAPCEipw(data_s1)
boot_s1 = BootstrapAPCEipw(data_s1, rep = 10)
data_s1w0 = subset(synth, synth$Sex==1&synth$White==0,select=-c(Sex,White,SexWhite))
freq_s1w0 = CalAPCEipw(data_s1w0)
boot_s1w0 = BootstrapAPCEipw(data_s1w0, rep = 10)
data_s1w1 = subset(synth, synth$Sex==1&synth$White==1,select=-c(Sex,White,SexWhite))
freq_s1w1 = CalAPCEipw(data_s1w1)
boot_s1w1 = BootstrapAPCEipw(data_s1w1, rep = 10)

freq_apce_summary <- APCEsummaryipw(freq_apce, freq_s0, freq_s1, freq_s1w0, freq_s1w1,
                                    boot_apce, boot_s0, boot_s1, boot_s1w0, boot_s1w0)
PlotAPCE(freq_apce_summary, y.max = 0.25, decision.labels = c("signature","small cash",
         "middle cash","large cash"), shape.values = c(16, 17, 15, 18), 
         col.values = c("blue", "black", "red", "brown", "purple"), label = FALSE)