帮我写一个sas代码用来实现插值法
时间: 2023-03-07 14:37:13 浏览: 69
sas代码如下:
proc expand data=data_set out=result_set;
by var_1;
convert var_2 = var_3 /
method=spline
splineinit=step;
run;
相关问题
写一段sas代码用来实现插值法
data interpolation;
set example;
array x{5} x1-x5;
array y{5} y1-y5;
array a{4} a1-a4;
do i=1 to 4;
a{i}=(y{i+1}-y{i})/(x{i+1}-x{i});
end;
do j=1 to 5;
if x{j}<=x<x{j+1} then
y=a{j}*(x-x{j})+y{j};
end;
run;
帮我写一个sas logistic回归的代码
好的,以下是一个简单的SAS Logistic回归的示例代码:
```
/* 导入数据 */
data mydata;
infile "path/to/mydata.csv" dlm=',' firstobs=2; /* 从CSV文件中导入数据 */
input age sex$ bmi cholesterol sysBP diaBP glucose diabetes$ heartDisease$; /* 定义变量 */
run;
/* 数据清洗 */
data clean_data;
set mydata;
/* 去掉缺失值 */
if missing(age) or missing(sex) or missing(bmi) or missing(cholesterol) or missing(sysBP) or missing(diaBP) or missing(glucose) or missing(diabetes) or missing(heartDisease) then delete;
/* 将字符串变量转换为数值变量 */
if sex = 'male' then sex_num = 1;
else if sex = 'female' then sex_num = 0;
if diabetes = 'yes' then diabetes_num = 1;
else if diabetes = 'no' then diabetes_num = 0;
if heartDisease = 'yes' then heartDisease_num = 1;
else if heartDisease = 'no' then heartDisease_num = 0;
run;
/* 运行Logistic回归 */
proc logistic data=clean_data;
model heartDisease_num(event='1') = age sex_num bmi cholesterol sysBP diaBP glucose diabetes_num / selection=stepwise; /* 设置自变量 */
run;
```
请注意,这只是一个示例代码。要运行成功,您需要将代码中的路径和变量名替换为您自己的数据。此外,还需要仔细检查数据清洗部分,以确保数据的正确性和一致性。