如何合并行数不同的多个R统计对象为统一表格？

以下是将你提供的freq、wf、prop、CI、CV对象合并为3行完整表格的R代码：

library(survey)

# 处理freq对象：转为数据框并设置行名
freq_df <- data.frame(freq = freq, row.names = c("0", "1", "Total"))

# 处理wf对象：提取total值和标准误，整理为数据框
wf_df <- data.frame(
  total = as.vector(wf),
  SE = sqrt(diag(attr(wf, "var"))),
  row.names = c("0", "1", "Total")
)

# 处理prop对象：提取均值、标准误和DEff，添加Total行
prop_df <- data.frame(
  mean = as.vector(prop),
  SE_prop = sqrt(diag(attr(prop, "var"))),
  DEff = diag(attr(prop, "deff")),
  row.names = c("0", "1")
)
prop_df <- rbind(prop_df, data.frame(mean = NA, SE_prop = NA, DEff = NA, row.names = "Total"))

# 处理CI对象：转为数据框并添加Total行
CI_df <- as.data.frame(CI)
CI_df <- rbind(CI_df, data.frame(`2.5 %` = NA, `97.5 %` = NA, row.names = "Total"))
rownames(CI_df) <- c("0", "1", "Total")

# 处理CV对象：转为数据框并添加Total行
CV_df <- data.frame(CV = CV, row.names = c("0", "1"))
CV_df <- rbind(CV_df, data.frame(CV = NA, row.names = "Total"))

# 合并所有数据框并调整列顺序
final_table <- cbind(freq_df, wf_df, prop_df, CI_df, CV_df)
final_table <- final_table[, c("freq", "total", "SE", "mean", "SE_prop", "DEff", "2.5 %", "97.5 %", "CV")]

# 打印结果（空值显示为空白）
print(final_table, na.print = "")

最终合并后的表格： #

内容的提问来源于stack exchange，提问作者datadigger