列中的值以%表示

时间:2022-09-30 21:30:30

In Access I'd take the column I'm looking to get the data from select it. Go to its properties, go to Top Values, and I'd put in the percentage I wanted of the current list. For instance a Cost list. 1000 members, I only want to know the top 2% of cost of my members. I place 2% in and the list shows the top 2% of cost of my members.

在Access中我会选择我想要从中选择数据的列。转到它的属性,转到Top Values,然后我输入我想要的当前列表的百分比。例如,成本列表。 1000名成员,我只想知道我的成员的前2%的成本。我将2%放入,列表显示了我的会员成本的前2%。

How can I do this in SAS?

我怎么能在SAS中这样做?

2 个解决方案

#1


I'd just use proc rank.

我只是使用proc等级。

groups=100 creates 100 ranked groups based on the variable var1 specified in the var statement. The ranks statement puts the groups into a new variable percentile.

groups = 100根据var语句中指定的变量var1创建100个排名组。 rank语句将组放入新的变量百分位数。

proc rank data=have out=have_ranked groups=100;
  ranks percentile;
  var var1;
run;

data want;
  set have_ranked;
  where percentile ge 98;
run;

#2


You could also use proc univariate to get cutoff point for top 2%, then select obs you need. Something like:

你也可以使用proc univariate来获得前2%的截止点,然后选择你需要的obs。就像是:

proc univariate data=sashelp.class;
    var weight;
    output out=cutoff pctlpts=98 pctlpre=weight;
 run;

data class;
   set sashelp.class;
   if _n_=1 then set cutoff;
   if weight>=weight98 then output;
run;

#1


I'd just use proc rank.

我只是使用proc等级。

groups=100 creates 100 ranked groups based on the variable var1 specified in the var statement. The ranks statement puts the groups into a new variable percentile.

groups = 100根据var语句中指定的变量var1创建100个排名组。 rank语句将组放入新的变量百分位数。

proc rank data=have out=have_ranked groups=100;
  ranks percentile;
  var var1;
run;

data want;
  set have_ranked;
  where percentile ge 98;
run;

#2


You could also use proc univariate to get cutoff point for top 2%, then select obs you need. Something like:

你也可以使用proc univariate来获得前2%的截止点,然后选择你需要的obs。就像是:

proc univariate data=sashelp.class;
    var weight;
    output out=cutoff pctlpts=98 pctlpre=weight;
 run;

data class;
   set sashelp.class;
   if _n_=1 then set cutoff;
   if weight>=weight98 then output;
run;