如何在R中的表格中将标准误差置于估计值以下,并转移到flextable
我正在使用Apistart数据创建一个汇总统计表,输出为R中的表(希望最终使用flextable格式化)。我希望操纵表格,使每个变量的标准误差直接低于我收集的平均值/中值。下面是一个例子:如何在R中的表格中将标准误差置于估计值以下,并转移到flextable,r,datatable,calculated-columns,survey,flextable,R,Datatable,Calculated Columns,Survey,Flextable,我正在使用Apistart数据创建一个汇总统计表,输出为R中的表(希望最终使用flextable格式化)。我希望操纵表格,使每个变量的标准误差直接低于我收集的平均值/中值。下面是一个例子: dstrata <- apistrat %>% as_survey_design(strata = stype, weights = pw) dstrata <- dstrata %>% mutate(api_diff = api00 - api99) dstrata
dstrata <- apistrat %>%
as_survey_design(strata = stype, weights = pw)
dstrata <- dstrata %>%
mutate(api_diff = api00 - api99)
dstrata %>%
summarise(api_diff = survey_mean(api_diff, vartype="se" ))
api_diff api_diff_se
<dbl> <dbl>
1 32.9 2.08
#so as you can see now, the standard error appears as its own column. Is there a way to reformat the table so it appears like this?
api_diff
<dbl>
1 32.9
(2.08)
谢谢大家! 类似这样的事情:
library(flextable)
library(srvyr)
library(survey)
library(dplyr)
data(api)
# stratified sample
dstrata <- apistrat %>%
as_survey_design(strata = stype, weights = pw)
dstrata <- dstrata %>%
mutate(api_diff = api00 - api99)
dat <- dstrata %>%
summarise(api_diff = survey_mean(api_diff, vartype="se" ))
flextable(dat, col_keys = "api_diff") %>%
compose(j = 1, value = as_paragraph(api_diff, " (", api_diff_se, ")")) %>%
autofit()
库(flextable)
图书馆(srvyr)
图书馆(调查)
图书馆(dplyr)
数据(api)
#分层抽样
dstrata%
as_测量_设计(地层=stype,重量=pw)
dstrata%
变异(api_diff=api00-api99)
dat%
总结(api_diff=调查平均值(api_diff,vartype=“se”))
flextable(dat,col_keys=“api_diff”)%%>%
组合(j=1,值=as_段落(api_diff,“(”,api_diff_se,“)”)%>%
自动拟合()
类似这样的事情:
library(flextable)
library(srvyr)
library(survey)
library(dplyr)
data(api)
# stratified sample
dstrata <- apistrat %>%
as_survey_design(strata = stype, weights = pw)
dstrata <- dstrata %>%
mutate(api_diff = api00 - api99)
dat <- dstrata %>%
summarise(api_diff = survey_mean(api_diff, vartype="se" ))
flextable(dat, col_keys = "api_diff") %>%
compose(j = 1, value = as_paragraph(api_diff, " (", api_diff_se, ")")) %>%
autofit()
库(flextable)
图书馆(srvyr)
图书馆(调查)
图书馆(dplyr)
数据(api)
#分层抽样
dstrata%
as_测量_设计(地层=stype,重量=pw)
dstrata%
变异(api_diff=api00-api99)
dat%
总结(api_diff=调查平均值(api_diff,vartype=“se”))
flextable(dat,col_keys=“api_diff”)%%>%
组合(j=1,值=as_段落(api_diff,“(”,api_diff_se,“)”)%>%
自动拟合()