# Activate the `foreign` library library(foreign) # Read the SPSS data mySPSSData <- read.spss("example.sav", to.data.frame=TRUE, use.value.labels=FALSE) You can set the use.value.labels argument to FALSE, if you wish to not convert value labels variables to R factors. Also, to.da...
How to Transpose Duplicate Rows to Columns in Excel (4 Ways) How to Transpose Every n Rows to Columns in Excel (2 Easy Methods) Convert Columns to Rows in Excel Using Power Query How to Convert Columns to Rows in Excel Based On Cell Value VBA to Transpose Multiple Columns into Rows in ...
To him, programming is like a time-saving wizard, making data manipulation, file handling, and internet interactions a breeze. His skill set extends to SPSS, STATA, Deep Neural Networks, and Machine Learning. Holding a B.Sc in Leather Engineering from Khulna University of Engineering & ...
Among commercial software providers, Stata (from version 16 on) offers built-in functions to perform various meta-analytical analyses or to produce various plots (Palmer and Sterne2016). For SPSS and SAS, there exist several macros for meta-analyses provided by scholars, such as David B. Wilson...
Learn about factor analysis - a simple way to condense the data in many variables into a just a few variables.
Below is a comparison of the commands used to write data into various file formats using R, SAS, SPSS and Stata. The variables gender and workshop are categorical factors and q1 to q4, pretest and posttest are considered continuous and normally distributed. ...
But there are times you need to use some procedure that won’t compute standardized coefficients for you. Often it makes more sense to use a general linear model procedure to run regressions. But GLM in SAS and SPSS don’t give standardized coefficients. Likewise, you won’t get standardized...
In this case it is relatively simple to impute the missing data using sequential regression imputation where the missing values are imputed for each variable at a time [20]. Many statistical packages (for example, STATA) may analyse if the missingness is monotone or not. If missingness is not...
Chapter 3: Help out your friends that are still paying for their statistical software and import their datasets from SAS, STATA, and SPSS using the haven and foreign packages. Chapter 4: Pull data in style from popular relational databases, including SQL. ...
To him, programming is like a time-saving wizard, making data manipulation, file handling, and internet interactions a breeze. His skill set extends to SPSS, STATA, Deep Neural Networks, and Machine Learning. Holding a B.Sc in Leather Engineering from Khulna University of Engineering & ...