For example, you might want to convert a continuous reading score that ranges from 0 to 100 into 3 groups (say low, medium and high). On the right side of the window, under Output Variable, type a name for the new variable, and optionally a variable label. For example, you could collapse salaries into a new variable containing salary range categories. Recoding several variables into several new variables is straightforward: simply fill in multiple input variable names after RECODE and multiple output variable names after INTO. Chinese Simplified / 简体中文 We want to create an adapted 3 category version of the original SEC variable rather than overwriting the original so we will recode into different variables: Transform > Recode into Different Variables. You can recode numeric and string variables ; You can recode numeric variables into string variables and vice versa. 2 Put the variable you want to recode in the Input Variable → Output Variable box. Danish / Dansk For example, with the six variables shown in the table below, it is common to recode this data to take a value of 1 if a person has selected Like or Love and 0 otherwise (i.e., a "top 2 box" score). German / Deutsch Portuguese/Brazil/Brazil / Português/Brasil DISQUS’ privacy policy. Figure 18. Almost every SAS programmer has written a DATA step that uses IF-THEN/ELSE logic or the SELECT-WHEN statements to recode variables.Although creating a new variable is effective, it is also inefficient because you have to create a new data set that contains the new variable. However, once you understand it you will find it saves you a lot of time and pain. Whilst you can also use the Recode into Different Variables procedure to create dummy variables if you have SPSS Statistics version 22 or later, we set out the Create Dummy Variables procedure in this guide because it is dedicated to creating dummy variables and is a lot easier and quicker to use. In the recoding scheme, we need to specify how the values of old variables are converted into the values of new variables. same variable, using the recode statement instead so that you can see that the recode statement requires a lot less coding and only two steps. Thai / ภาษาไทย Slovenian / Slovenščina The left column lists all of the variables in your dataset. Click on “Recode into Different Variables”, as choosing the “Recode into Same Variable” would destroy the values of the existing variable. This post shows how to use Displayr to replicate the standard SPSS functions of Transform > Recode into Same Variables and Transform > Recode into Different Variables. On the Variables and Questions tab, select multiple variables at the same time and recode them together. You can merge columns, by adding new variables; or you can merge rows, by adding observations. (The only time you'd use that is when fixing fouled labels.) DISQUS terms of service. Employee research The left side of equal signs (=) is for the values of old variables, and the right side for the values of new variables. In the “Recode into Different Variables: Old and New Values” dialog box, select “Range:” and enter 15 in the first box and 24 in the text box below. Recode an existing variable in Stata. To recode variables in Stata, use the recode command. Recoding variables using recode There is an easier way to recode mpg to three categories using generate and recode. Recoding variables Recoding categorical or quantitative variables can be useful in a number of circumstances. Recoding variables can be tedious, but it is often a necessary part of data analysis. Before we look at this example, though, let us review the syntax of the recode statement. For example, when we use recode into different variable options, we can see new variables have been added to our data set while recording the existing variable in the following diagram. If you’re following along with the NHANES data, the variable is AUXTMEPR. To recode into different variables, click Transform > Recode into Different Variables. Defining date-time variables in the Variable View window and through the Date and Time Wizard. Recode into Different Variables: Old and New Values You can define values to recode in this dialog box. Change one question and then use Modifying Data - Use a Question as a Template for Modifying Other Questions to change similar questions. Slovak / Slovenčina Use Automate > Browse Online Library > Create New Variables. SPSS offers two choices under the recode command: Into Same Variable and Into Different Variables. Whilst you can also use the Recode into Different Variables procedure to create dummy variables if you have SPSS Statistics version 22 or later, we set out the Create Dummy Variables procedure in this guide because it is dedicated to creating dummy variables and is a lot easier and quicker to use. you can you use this variable for further analysis after dichotoming or making an order scale as you like. One at a time, select a variable to be recoded from the list on the center of the Recode into Different Variables dialog window. We will illustrate this with the hsb2 data file with a variable … In Recode values in the following columns, enter the variables with the numeric codes. To Recode Values of a Variable into a New Variable. In the recoding scheme, we need to specify how the values of old variables are converted into the values of new variables. What if I want to recode some variables like 1=-1, 2=1, .default = NaN and some like 1=1, 2=-1, .default = NaN? Japanese / 日本語 Brandon Bertelsen, I have only ever heard "recoding" used in the usual sense "rename categorical labels/ reorder categorical levels/ swap levels <-> labels".Never for "convert continuous variables into discrete categories", which is binning, not recoding.Nor for changing cut thresholds or quantiles. Figure 18 Click “OK” 11 12. Enter an output (new) variable name for each new variable and click Change. This section returns to basics and looks at all the steps that go into recoding a numeric variable into a categorical variable. Romanian / Română Overwriting variables is dangerous (you cannot undo changes, value labels may be wrong, etc. In a lot of data sets people want to recode their continuous scores into categories. Similarly, we might code the dichotomous variable for sex: 0 = Female 1 = Male Dichotomous variables can also be dummy variables. You will get this syntax read out that tells you what you just did. This example uses LO THRU 3 which means “the lowest value through 3”. Here we use the -generate- command to create a new variable representing population younger than 18 years old. If datasets are in different locations, first you need to import in R as we explained previously. French / Français You need to state some specific use-cases and show a little sample code or data. Recoding into the same variables works in the same way as recoding into different variables except there’s one important distinguishing characteristic. Greek / Ελληνικά In Displayr, you can merge together categories by clicking on them and, dragging the grey box with the three dark lines onto another category. gen nx3 = 6-x3. Polish / polski The variables, in this case, need to have the same coding structure. The easiest way is to use revalue() or mapvalues() from the plyr package. Then, we use recode to convert mpg3a into three categories: min-18 into 1, 19-23 into 2, and 24-max into 3. Recoding a categorical variable. Croatian / Hrvatski We still do not have labels attached to the values of the new variable. Macedonian / македонски Whereas when you’re using SPSS recode into different variables range can be manipulated with little concern for the loss of data, recoding into the same variables will actually delete your original data. Just make sure that the number of input variables matches the number of output variables. Currently the mpg (miles per gallon) variable of mtcars is a continuous numeric variable, but it may be more useful if mpg was a categorical variable that immedietly told you if the car had low or high miles per gallon.. We can make categories through indexing variables that meet certain criteria. Click on the variable in the Data Sets tree and click Properties > DATA VALUES > Values and enter the desired values (you can also copy and paste using the Export and Import buttons). 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