你好,
有没有办法在 JMP 中执行 Cramer von 检验?有人试过吗?
我不知道 JMP 中的 Cramer von 检验,但使用 JMP/Python 接口在 Python 中运行它很简单
names default to here(1);
dt =
// Open Data Table: semiconductor capability.jmp
// → Data Table( "semiconductor capability" )
Open( "$SAMPLE_DATA/big class.jmp" );
data = (dt:height << get values);
python send(data);
python submit("
print( data )
");
python submit("
from scipy.stats import cramervonmises
# Example data
import numpy as np
np.random.seed(0)
# data = np.random.normal(loc=0, scale=1, size=100)
# Test against normal distribution
result = cramervonmises(data, 'norm')
print(result)
");
以上适用于 JMP 18 及其集成的 Python
要在早期版本中运行此程序,只需进行少量修改
names default to here(1);
dt =
// Open Data Table: semiconductor capability.jmp
// → Data Table( "semiconductor capability" )
dt = Open( "$SAMPLE_DATA/big class.jmp" );
python init();
data = (dt:height << get values)`;
python send(data);
python submit("
print( data )
");
python submit("
from scipy.stats import cramervonmises
# Example data
import numpy as np
np.random.seed(0)
# data = np.random.normal(loc=0, scale=1, size=100)
# Test against normal distribution
result = cramervonmises(data, 'norm')
print(result)
");