R调查库均值差异检验

我目前正在使用R的

调查

库分析调查数据。我有两个不同时期的样品。我的目标是测试两个加权样本均值之间的差值是否等于0问题：我如何使用R的调查库实现这一点？

我尝试了两种方法：

方法1：创建两个不同的后分层对象。玩具示例：

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这种方法的问题是，我不知道如何对“第一”和“第二”对象（这两个

svymean

对象）进行均值差异测试

方法2：仅创建一个后分层对象。玩具示例：

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这种方法的问题是，当我运行

svyby

只是为了检查创建的平均值时，

svyby

的输出不是我所期望的。当时间=0的理论加权平均值为0.55时，它得出

平均值=0.5714

对于理论平均值与

svyby的不同之处，我们将非常感谢。

非常感谢您抽出时间
 你在找这个吗？谢谢

library(survey)

q1 = c(1,1,1,1,0, 1,1,0,0,1)

# edited #
group = c(0,0,0,1,1, 2,2,3,3,3)

time = c(0,0,0,0,0, 1,1,1,1,1) #Variable that distinguishes between the samples

df = data.frame(q1, group, time)

svy_design = svydesign(ids = ~1 , data = df)

# edited #
pop_data = data.frame(group = c(0,1,2,3), Freq = c(10,90,20,80))

ps_design = postStratify(svy_design, strata = ~group,pop_data)

svyby(~q1, ~time, ps_design, svymean)

svyttest(q1~time, ps_design)

你在找这个吗？谢谢

library(survey)

q1 = c(1,1,1,1,0, 1,1,0,0,1)

# edited #
group = c(0,0,0,1,1, 2,2,3,3,3)

time = c(0,0,0,0,0, 1,1,1,1,1) #Variable that distinguishes between the samples

df = data.frame(q1, group, time)

svy_design = svydesign(ids = ~1 , data = df)

# edited #
pop_data = data.frame(group = c(0,1,2,3), Freq = c(10,90,20,80))

ps_design = postStratify(svy_design, strata = ~group,pop_data)

svyby(~q1, ~time, ps_design, svymean)

svyttest(q1~time, ps_design)

library(survey)

q1 = c(1,1,1,1,0, 1,1,0,0,1)

# edited #
group = c(0,0,0,1,1, 2,2,3,3,3)

time = c(0,0,0,0,0, 1,1,1,1,1) #Variable that distinguishes between the samples

df = data.frame(q1, group, time)

svy_design = svydesign(ids = ~1 , data = df)

# edited #
pop_data = data.frame(group = c(0,1,2,3), Freq = c(10,90,20,80))

ps_design = postStratify(svy_design, strata = ~group,pop_data)

svyby(~q1, ~time, ps_design, svymean)

svyttest(q1~time, ps_design)