Question

我有一个编码为1-5的调查表，然后针对缺少的变量标记为（。）。如何编码数据以反映以下内容：

如果患者=> 80％的值不小于缺失值，则将其编码为已回答问题的平均值。如果患者遗漏了超过80％的值，而不是将度量摘要设置为患者遗漏，则删除记录。

condomuse;
set int108;
run;

proc means data=condomuse n nmiss missing;
var cusesability CUSESPurchase CUSESCarry CUSESDiscuss CUSESSuggest CUSESUse CUSESMaintain CUSESEmbarrass CUSESReject CUSESUnsure CUSESConfident CUSESComfort CUSESPersuade CUSESGrace CUSESSucceed;
by Intround sid;
run;

Answer 1

使用以下假设：

每行/每条记录都是唯一的人
所有变量都是数字

NMISS（），N（），CMISS（）和DIM（）是可以与数组一起使用的函数。

这将标识丢失80％或更多的所有记录。

data temp; *temp is output data set name;
    set have; *have is input data set name;

    *create an array to avoid listing all variables later;
    array vars_check(*) cusesability CUSESPurchase CUSESCarry CUSESDiscuss CUSESSuggest CUSESUse CUSESMaintain CUSESEmbarrass CUSESReject CUSESUnsure CUSESConfident CUSESComfort CUSESPersuade CUSESGrace CUSESSucceed;

    *calculate percent missing;
    Percent_Missing = NMISS(of vars_check(*)) / Dim(vars_check);

    if percent_missing >= 0.8 then exclude = 'Y';
    else exclude = 'N';

 run;

要用平均值或其他方法替换，PROC STDIZE可以做到。

*temp is input data set name from previous step;
proc stdize data=temp out=temp_mean reponly method=mean;
*keep only records with more than 80%;
where exclude = 'N';

*list of vars to fill with mean;
VAR cusesability CUSESPurchase CUSESCarry CUSESDiscuss CUSESSuggest CUSESUse CUSESMaintain CUSESEmbarrass CUSESReject CUSESUnsure CUSESConfident CUSESComfort CUSESPersuade CUSESGrace CUSESSucceed;

run;

不同的标准化方法是here，但是这些是标准化方法而不是归因方法。

如果缺少调查表数据的值少于80％，则SAS输入平均值

1 个答案: