我使用SPSS建模器来计算各种每周估计的准确性。我有一个数据表，其中有几周的估算和几周的实际数据点。目前，要计算每周的错误，我必须使用每周的派生节点：ex：wk1错误

Question

<- (Wk1 estimate - Wk1 actual). This is naturally inefficient when considering many weeks. Is there a way to derive all of these error columns at once?

我不确定在普通建模器GUI中是否可以使用，因为您需要解析相应的字段名称并将其用作派生（多个）节点中的参数。 但是，您可以使用

模型脚本语言

。请参阅以下脚本，该脚本创建一个UserInput节点并用一些示例数据填充它，并根据WeekX列动态创建派生节点：

import modeler.api
import re

s = modeler.script.stream()

# create user input node and fill with sample data
input_node = s.create("userinput", "Userinput Node")
input_node.setPropertyValue("names", ["group", "week1 (estimate)", "week2 (estimate)", "week3 (estimate)", "week1 (actual)", "week2 (actual)", "week3 (actual)"])

input_node.setKeyedPropertyValue("data", "group", '"A" "B" "C" "D"')
input_node.setKeyedPropertyValue("data", "week1 (estimate)", '1 2 5 1')
input_node.setKeyedPropertyValue("data", "week2 (estimate)", '2 3 1 4')
input_node.setKeyedPropertyValue("data", "week3 (estimate)", '1 1 1 1')
input_node.setKeyedPropertyValue("data", "week1 (actual)", '1 3 2 5')
input_node.setKeyedPropertyValue("data", "week2 (actual)", '1 3 6 2')
input_node.setKeyedPropertyValue("data", "week3 (actual)", '1 1 1 1')

input_node.setKeyedPropertyValue("custom_storage", "group", "String")
input_node.setKeyedPropertyValue("custom_storage", "week1 (estimate)", "Integer")
input_node.setKeyedPropertyValue("custom_storage", "week2 (estimate)", "Integer")
input_node.setKeyedPropertyValue("custom_storage", "week3 (estimate)", "Integer")
input_node.setKeyedPropertyValue("custom_storage", "week1 (actual)", "Integer")
input_node.setKeyedPropertyValue("custom_storage", "week2 (actual)", "Integer")
input_node.setKeyedPropertyValue("custom_storage", "week3 (actual)", "Integer")

input_node.setPropertyValue("data_mode", "Ordered")

# alternatively (e.g. data from database, flatfile): find input node by id and read fieldlist
#input_node = s.findByID("id1UTWII7ZNZF")
#fieldlist = []
#for field in input_node.getOutputDataModel().iterator():
#    fieldlist.append(field)

# get fieldlist from input node
fieldlist = input_node.getPropertyValue("names")

print(fieldlist)

# loop through field list and assemble dict
weekdic = {}

p = re.compile('[wW]eek.?[0-9]')

for field in fieldlist:
    print(field)
    m = p.match(field)
    if m:
        try:
            weekdic[m.group()[len(m.group())-1]].append(field)
        except:
            weekdic[m.group()[len(m.group())-1]] = [field]

derive = False

# loop through dic and create derive node and set formula 
    
for i in weekdic:
    derive_temp = s.create("derive", "My node"+i)
    if derive:
        s.link(derive,derive_temp)
        derive = derive_temp
    else:
        derive = derive_temp
        s.link(input_node,derive)

    derive.setPropertyValue("new_name", "week" + i + " (error)")
    derive.setPropertyValue("result_type", "Formula")
    derive.setPropertyValue("formula_expr", "'" + weekdic[i][0] + "'" + ' - ' + "'" + weekdic[i][1] + "'")

# link last derive node to outputtable
tablenode = s.createAt("table", "Results", 288, 64)
s.link(derive, tablenode)
results = []
tablenode.run(results)

Answer 1

有多个派生节点进行单个操作，然后使用合并节点与原始列并排放置结果。在合并节点上，消除重复的列。

Answer 2