tbl_summary(data,by=NULL,label=NULL,statistic=list(all_continuous()~"{median} ({p25}, {p75})",all_categorical()~"{n} ({p}%)"),digits=NULL,type=NULL,value=NULL,missing=c("ifany","no","always"),missing_text="Unknown",missing_stat="{N_miss}",sort=all_categorical(FALSE)~"alpha...
我试图提供一个表格,显示在一项调查中被问及的多个两分法结果的人口统计信息。missing_text = "Missing") %>% modify_header(label ~ "Demographics")我正在考虑为我感兴趣的每一个结果创建一个tbl_summary,然后将它们合并在一起。我只想得到有结果的百分比(也就是说,只显示吃了<e ...
tbl_summary(by = trt, missing = "no") %>% add_n() %>% as_gt() %>% # 转换为gt对象 gt::tab_source_note(gt::md("*This data is simulated*")) 1. 2. 3. 4. 5. image-20220704181032609 同一个变量展示多个统计量 对于连续型变量,可以在多行显示多个统计值,只要设置type = all_contin...
tbl_summary( data, by = NULL, label = NULL, statistic = NULL, digits = NULL, type = NULL, value = NULL, missing = NULL, missing_text = NULL, sort = NULL, percent = NULL, include = everything(), group = NULL ) Arguments data A data frame by A column name (quoted or unquote...
trial2|>tbl_summary(by=trt, missing="no")|>add_n()|>as_gt()|>gt::tab_source_note(gt::md("*This data is simulated*")) CharacteristicNDrug A N = 981Drug B N = 1021 Age18946 (37, 60)48 (39, 56) Grade200 I 35 (36%)33 (32%) ...
分组后表格 #定制表格格式trial2%>%tbl_summary(by=trt,statistic=list(all_continuous()~"{mean} ({sd})",#确定连续变量格式all_categorical()~"{n} / {N} ({p}%)"),#确定分类变量格式 digits=all_continuous()~2,#确定小数点数 label=grade~"Tumor Grade",#确定变量显示名称 missing_text="(Missi...
1、重复值处理 把数据结构中，行相同的数据只保留一行。 函数语法： drop_duplicates() 删除重复值new...
如果我们想高级为n = 2，那么我们首先要删除 Dataframe 中的额外白色。剩下的是使用remove_row_type()...
下面的代码演示了如何从gtsummary表的内部访问测试名称。也就是说，不能保证在将来的某个时候内部不会...
```{r} trial2 |> tbl_summary(by = trt, missing = "no") |> add_n() |> as_gt() |> gt::tab_source_note(gt::md("*This data is simulated*")) ``` ## Select Helpers {#select_helpers} There is flexibility in how you select variables for {gtsummary} arguments, which allows ...