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Stata 将字符串数据和相应数据拆分为新行

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Stata 将字符串数据和相应数据拆分为新行,stata,Stata,我有一些数据，其中包含一个字符串变量（美国各州），一个相应的整数变量（注册）和另一个字符串 不幸的是，US states变量下的某些单元格列出了多个状态，并用分号分隔。我想把它们分成不同的行，然后在这些州之间平均分配相应的注册人数 例如，我有： State Enrollment Severity CA 100 Low MA;PA 50 Medium WA;OR;ID 120 H

我有一些数据，其中包含一个字符串变量（
美国各州
），一个相应的整数变量（
注册
）和另一个字符串

不幸的是，
US states
变量下的某些单元格列出了多个状态，并用分号分隔。我想把它们分成不同的行，然后在这些州之间平均分配相应的注册人数

例如，我有：

State       Enrollment   Severity
CA            100          Low
MA;PA         50           Medium
WA;OR;ID      120          High
我希望能够将其转化为：

State       Enrollment    Severity
CA             100          Low
MA             25           Medium
PA             25           Medium
WA             40           High
OR             40           High
ID             40           High
我曾尝试使用
split
命令分离它们，然后（以一种复杂的方式，计算相应的注册数），但我不太确定如何让它们进入新行，即使使用
restrape

编辑：

我还希望解决方案能够处理重复状态

例如：

State       Enrollment   Severity
CA            100          Low
MA;CA         50           Medium
WA;CA;ID      120          High
转化为：

State       Enrollment    Severity
CA             100          Low
MA             25           Medium
CA             25           Medium
WA             40           High
CA             40           High
ID             40           High
这里有一种方法可以使用原始数据完成您想要的操作：

clear 
input str10 State Enrollment str10 Severity
"CA" 100 "Low"
"MA;PA" 50 "Medium"
"WA;OR;ID" 120 "High"
end

generate id = _n
split State, p(;)
drop State
reshape long State, i(State?)
drop State?

keep if State != ""
bysort State (id): egen maxval = max(id)
bysort State (id): generate enrol = Enrollment / maxval
drop Enrollment
rename enrol Enrollment

sort id
drop id _j maxval
order State Enrollment Severity

list, abbreviate(20)

     +-------------------------------+
     | State   Enrollment   Severity |
     |-------------------------------|
  1. |    CA          100        Low |
  2. |    MA           25     Medium |
  3. |    PA           25     Medium |
  4. |    OR           40       High |
  5. |    ID           40       High |
  6. |    WA           40       High |
     +-------------------------------+

clear
input str10 State Enrollment str10 Severity
"CA"            100          "Low"
"MA;CA"         50           "Medium"
"WA;CA;ID"      120          "High"
end

generate id = _n
split State, p(;)
drop State

reshape long State, i(id)

keep if State != ""
bysort id: egen maxval = count(id)
bysort id: generate enrol = Enrollment / maxval
drop Enrollment
rename enrol Enrollment

sort id
drop id _j maxval
order State Enrollment Severity

list, abbreviate(20)

     +-------------------------------+
     | State   Enrollment   Severity |
     |-------------------------------|
  1. |    CA          100        Low |
  2. |    MA           25     Medium |
  3. |    CA           25     Medium |
  4. |    WA           40       High |
  5. |    CA           40       High |
  6. |    ID           40       High |
     +-------------------------------+
编辑：

这里有一种方法可以使用您的修订的数据来完成您想要的操作：

clear 
input str10 State Enrollment str10 Severity
"CA" 100 "Low"
"MA;PA" 50 "Medium"
"WA;OR;ID" 120 "High"
end

generate id = _n
split State, p(;)
drop State
reshape long State, i(State?)
drop State?

keep if State != ""
bysort State (id): egen maxval = max(id)
bysort State (id): generate enrol = Enrollment / maxval
drop Enrollment
rename enrol Enrollment

sort id
drop id _j maxval
order State Enrollment Severity

list, abbreviate(20)

     +-------------------------------+
     | State   Enrollment   Severity |
     |-------------------------------|
  1. |    CA          100        Low |
  2. |    MA           25     Medium |
  3. |    PA           25     Medium |
  4. |    OR           40       High |
  5. |    ID           40       High |
  6. |    WA           40       High |
     +-------------------------------+

clear
input str10 State Enrollment str10 Severity
"CA"            100          "Low"
"MA;CA"         50           "Medium"
"WA;CA;ID"      120          "High"
end

generate id = _n
split State, p(;)
drop State

reshape long State, i(id)

keep if State != ""
bysort id: egen maxval = count(id)
bysort id: generate enrol = Enrollment / maxval
drop Enrollment
rename enrol Enrollment

sort id
drop id _j maxval
order State Enrollment Severity

list, abbreviate(20)

     +-------------------------------+
     | State   Enrollment   Severity |
     |-------------------------------|
  1. |    CA          100        Low |
  2. |    MA           25     Medium |
  3. |    CA           25     Medium |
  4. |    WA           40       High |
  5. |    CA           40       High |
  6. |    ID           40       High |
     +-------------------------------+
这里有一种方法可以使用原始数据完成您想要的操作：

clear 
input str10 State Enrollment str10 Severity
"CA" 100 "Low"
"MA;PA" 50 "Medium"
"WA;OR;ID" 120 "High"
end

generate id = _n
split State, p(;)
drop State
reshape long State, i(State?)
drop State?

keep if State != ""
bysort State (id): egen maxval = max(id)
bysort State (id): generate enrol = Enrollment / maxval
drop Enrollment
rename enrol Enrollment

sort id
drop id _j maxval
order State Enrollment Severity

list, abbreviate(20)

     +-------------------------------+
     | State   Enrollment   Severity |
     |-------------------------------|
  1. |    CA          100        Low |
  2. |    MA           25     Medium |
  3. |    PA           25     Medium |
  4. |    OR           40       High |
  5. |    ID           40       High |
  6. |    WA           40       High |
     +-------------------------------+

clear
input str10 State Enrollment str10 Severity
"CA"            100          "Low"
"MA;CA"         50           "Medium"
"WA;CA;ID"      120          "High"
end

generate id = _n
split State, p(;)
drop State

reshape long State, i(id)

keep if State != ""
bysort id: egen maxval = count(id)
bysort id: generate enrol = Enrollment / maxval
drop Enrollment
rename enrol Enrollment

sort id
drop id _j maxval
order State Enrollment Severity

list, abbreviate(20)

     +-------------------------------+
     | State   Enrollment   Severity |
     |-------------------------------|
  1. |    CA          100        Low |
  2. |    MA           25     Medium |
  3. |    CA           25     Medium |
  4. |    WA           40       High |
  5. |    CA           40       High |
  6. |    ID           40       High |
     +-------------------------------+
编辑：

这里有一种方法可以使用您的修订的数据来完成您想要的操作：

clear 
input str10 State Enrollment str10 Severity
"CA" 100 "Low"
"MA;PA" 50 "Medium"
"WA;OR;ID" 120 "High"
end

generate id = _n
split State, p(;)
drop State
reshape long State, i(State?)
drop State?

keep if State != ""
bysort State (id): egen maxval = max(id)
bysort State (id): generate enrol = Enrollment / maxval
drop Enrollment
rename enrol Enrollment

sort id
drop id _j maxval
order State Enrollment Severity

list, abbreviate(20)

     +-------------------------------+
     | State   Enrollment   Severity |
     |-------------------------------|
  1. |    CA          100        Low |
  2. |    MA           25     Medium |
  3. |    PA           25     Medium |
  4. |    OR           40       High |
  5. |    ID           40       High |
  6. |    WA           40       High |
     +-------------------------------+

clear
input str10 State Enrollment str10 Severity
"CA"            100          "Low"
"MA;CA"         50           "Medium"
"WA;CA;ID"      120          "High"
end

generate id = _n
split State, p(;)
drop State

reshape long State, i(id)

keep if State != ""
bysort id: egen maxval = count(id)
bysort id: generate enrol = Enrollment / maxval
drop Enrollment
rename enrol Enrollment

sort id
drop id _j maxval
order State Enrollment Severity

list, abbreviate(20)

     +-------------------------------+
     | State   Enrollment   Severity |
     |-------------------------------|
  1. |    CA          100        Low |
  2. |    MA           25     Medium |
  3. |    CA           25     Medium |
  4. |    WA           40       High |
  5. |    CA           40       High |
  6. |    ID           40       High |
     +-------------------------------+
嗨，珀莉·斯宾塞，谢谢你的回复。但这确实不起作用。在我的原始问题中，我没有提到在我的datatset中状态也会重复（即CA或任何其他状态都有多个实例）。因此，当我重新整形时，我得到一个错误，在当前宽格式变量State1 State2中。。。不要唯一地标识数据。有解决办法吗？谢谢很明显，它适用于您给出的示例。我们用得到的东西工作——我们不是读心术的人。您需要提供一个如何重复
CA
的示例。它是独立于另一个观察中还是作为一个群体，即
CA；MA
等。？另外，在这种情况下，如何计算注册人数？嗨，你说得对-我的意思是，它对我的情况不起作用，我说我不会早些提到它，并为此道歉。我已经对问题进行了修改。很抱歉，这是来回的。谢谢嗨，珀莉·斯宾塞，谢谢你的回复。但这确实不起作用。在我的原始问题中，我没有提到在我的datatset中状态也会重复（即CA或任何其他状态都有多个实例）。因此，当我重新整形时，我得到一个错误，在当前宽格式变量State1 State2中。。。不要唯一地标识数据。有解决办法吗？谢谢很明显，它适用于您给出的示例。我们用得到的东西工作——我们不是读心术的人。您需要提供一个如何重复
CA
的示例。它是独立于另一个观察中还是作为一个群体，即
CA；MA
等。？另外，在这种情况下，如何计算注册人数？嗨，你说得对-我的意思是，它对我的情况不起作用，我说我不会早些提到它，并为此道歉。我已经对问题进行了修改。很抱歉，这是来回的。谢谢