How to fix case-control matching with SPSS fuzzy command
来源： https://stackoverflow.com/questions/55890764/how-to-fix-case-control-matching-with-spss-fuzzy-command
spss
Standardized regression coefficients with dummy variables in R vs. SPSS
问题 I came across a puzzling difference in standardized (beta) coefficients with linear regression model computed with R and SPSS using dummy coded variables. I have used the hsb2 data set and created a contrast (dummy coding), so that the third category is the reference. Here is the R code: # Read the data hsb2 <- read.table('https://stats.idre.ucla.edu/stat/data/hsb2.csv', header = TRUE, sep = ",") # Create a factor variable with respondents' race hsb2$race.f <- factor(hsb2$race, labels = c(
Looping through parallel lists/arrays in an SPSS macro
问题 I would like to write a SPSS macro to perform three operations: generate a custom table, clean the output window, export table. As you know SPSS macro facility allows to use two types of loops: 'numeric' like ( !do !i = !x !to !y ) and 'list'/'for each' like ( !do !i !in (!1) ). My goal is to create a macro with a call as below: col v1 v2 / "Sheet A" "Sheet B". working this way (with a 'list' like loop): Get first variable name (v1) Put it in the ctables macro section Get first sheet name
Looping through parallel lists/arrays in an SPSS macro
问题 I would like to write a SPSS macro to perform three operations: generate a custom table, clean the output window, export table. As you know SPSS macro facility allows to use two types of loops: 'numeric' like ( !do !i = !x !to !y ) and 'list'/'for each' like ( !do !i !in (!1) ). My goal is to create a macro with a call as below: col v1 v2 / "Sheet A" "Sheet B". working this way (with a 'list' like loop): Get first variable name (v1) Put it in the ctables macro section Get first sheet name
数据挖掘产品 IBM SPSS Modeler 新手使用入门
IBM SPSS Modeler 简介 作为 IBM 分析与预测解决方案的重要组成部分，IBM SPSS Modeler 是一组数据挖掘工具，通过这些工具可以采用商业技术快速建立预测性模型，并将其应用于商业活动，从而改进决策过程。随着于 2010 年其新版本 14.1 的发布，名字也由 PASW Modeler 更名为现在的 IBM SPSS Modeler 。 SPSS Modeler 提供了各种借助机器学习、人工智能和统计学的建模方法。通过建模选项板中的方法，您可以根据数据生成新的信息以及开发预测模型。每种方法各有所长，同时适用于解决特定类型的问题。 初次上手 典型的 SPSS Modeler 界面如下： 图 1. SPSS Modeler 界面 接下来将详细介绍其基本概念及操作。 基本概念：节点 节点代表要对数据执行的操作。 例如，假定您需要打开某个数据源、添加新字段、根据新字段中的值选择记录，然后在表中显示结果。在这种情况下，您的数据流应由以下四个节点组成： 表 1. 节点示例 变量文件节点，设置此节点后可以读取数据源中的数据。 导出节点，用于向数据集中添加计算的新字段。 选择节点，用于设置选择标准，以从数据流中排除某些记录。 表节点，用于在屏幕上显示操作结果。 基本概念：数据流 SPSS Modeler 进行的数据挖掘重点关注通过一系列节点运行数据的过程
IBM SPSS Modeler随机森林算法介绍
在之前的文章《Bagging 或Boosting让你的模型更加优化》中，我们介绍了可以通过Bagging或Boosting技术，使得模型更加稳定和准确率更高，那么今天要介绍的随机森林算法，本身的算法逻辑已经使用了Bagging技术，来构建多棵树，最终实现构建“森林”的目的。 首先我们先来了解下这个算法，记住几个要点就可以： 1.在 IBM SPSS Modeler 中，随机森林构建的每棵树，使用的算法是C&RT，关于C&RT算法的介绍可以参考之前的文章《 IBM SPSS Modeler算法系列------C&R Tree算法介绍 》； 2.使用Bagging,每构建一棵树，都是通过随机选择样本数据来构建（有放回的）； 3.除了使用Bagging技术，对使用的输入指标，也随机选择。比如说一共有20个输入指标，每选完一次样本数据后，会再随机选择其中的10个指标来构建树。 4.最终的预测结果，会综合前面构建的决策树通过投票的方式得到最终的预测结果，如果是数值型的预测，则是取平均值做为最终的预测结果。 5.在 IBM SPSS Modeler 中，随机森林算法不仅支持传统的关系型数据库，比如DB2、Oracle、SQL Server等通过ODBC可连接的数据库，也支持Haoop分布式架构的数据，它可以生成MapReduce或者Spark，放到Hadoop平台上去执行，从而提升整个计算效率
Loop through items and sum items in SPSS
问题 I have two sets of variables called ITEM 1 to ITEM 47, and another called L1 to L47. What I want to do is to calculate the sum of Ls if any ITEM#i=1. What I wrote is as following: COMPUTE LSUM=0. LOOP #i=1 to 47. IF (ITEM(#i)=1) LSUM=LSUM+L(#i). END LOOP. But I got an error message saying the characters do not match any existing function or vector. What should I do then? Your inputs will be very appreciated. Thanks. Sincerely, Lucy 回答1: COMPUTE LSUM=0. exe. vector vitems = ITEM 1 to ITEM 47.
Dynamically create value labels with haven::labelled
问题 I am using haven::labelled to set value labels of a variable. The goal is to create a fully documented dataset I can export to SPSS. Now, say I have a df value_labels of values and their value labels. I also have i df df_data with variables to which I want allocate value labels. value_labels <- tibble( value = 1:6, labels = paste0("value", 1:6) ) df_data <- tibble( id = 1:10, var = floor(runif(10, 1, 6)) ) Manually, I would create value labels for df_data$var like so: df_data$var <- haven:
Saving data from SPSS to Excel - custom sheet name
问题 Is it possible, When exporting a dataset from SPSS to Excel, to control the name of the worksheet the data is being saved into ? The "SAVE TRANSLATE OUTFILE" command does not allow for this. I have SPSS 21, with Python installed (although I am fairly new to Python...) 回答1: Yes. See this weblink on IBM website for details. get file="C:\Program Files\IBM\SPSS\Statistics\23\Samples\English\Employee data.sav". SAVE TRANSLATE /TYPE=ODBC /CONNECT='DSN=Excel Files;DBQ=C:\Daten\Temp
Query SQL Server from SPSS how to connect
问题 I am at a total loss on how to do what I think is a fairly simple and standard task: I am running SPSS 20 on Mac and want to connect to a SQL Server database on a remote server. When going to File -> Open Database -> New Query (The command names may be a bit off, my SPSS is in German and I'm just translating) it only shows myodbc as data source. I assume I have to add a driver for SQL Server however I don´t really know where to get it or how to install it as I cannot find it in the SPSS