The option string says that the j variable is a string variable. Multiple imputation for longitudinal data, long or wide. The equivalent in the tidyverse would be the gather wide to long and spread long to wide functions from the tidyr package. The generic form of cast function takes the following form.
Multiple regression an extension of simple linear regression is used to predict the value of a dependent variable also known as an outcome variable based on the value of two or more independent variables also known as predictor variables. Hello everybody, i need to reshape wide data to long. Stata offers the reshape command for restructuring data. Reshape in r from wide to long and from long to wide. If i have many variables all occurring in pairs for two years 1997 and 1998. Mar, 2015 the first loop tells stata to use the datasets stored in the local macro and to reshape the selected outcomes from wide to long and then go back to wide. These examples take long data files and reshape them into wide form. Stata help reshaping your data in stata reed college. Geocenterstatatraining the worlds leading software. We reshape the data to long format and use ggplot2 to plot read, write and math scores for each subject. If more than one record matches, the first will be taken with a warning. An example of reshape long with stata1 stata has reshape long and reshape wide commands that make it pretty easy to modify files from wide to long, and back. One of the key data management tools stata provides is reshape d reshape. Ive been browsing the stata help forums and i didnt see a solution to this issue anywhere, other than to destring the variable.
The two commands will be identical except for adding mi and changing wide to long. Reshaping data long to wide stata learning modules. Reshape data university of virginia library research. A key point is that in reshaping from wide to long, reshape expects to find one or. For this example, the variables for each case, are as follows. Multiple imputation for longitudinal data, long or wide format. Is it possible to impute longitudinal data in the long format. The following example data contains two participants measured on two outcome variables weight and calories, under three different time points. Jan 29, 2016 this video is dedicated for anyone of you who want to utilize stata to make panel data analysis, the presentation is quick and fast, and to the point.
Reed college stata help reshaping your data in stata. A variable that uniquely identifies each subject variables in the wide data that should be converted to rows in the long data variables in the wide data set that should be retained and repeated for each new row in the long data. The wide and long data format for repeated measures data. The variables with the prefix x x1960, x1961, x1962, etc. In the long format, each row is one time point per subject. Id condition time factor1 factor2 factor3 100 a 1 8 4 1 100 a 2 5 7 1 100 b 1 8 8 9 100 b 2 6 9 9 101 a 1 1 3 1 101 a 2 9 9 6 101 b 1 3.
The x variables in combination define the rows, and y variables in combination defines the columns. Use the reshape wide command to create new variables for the types of software hint 1. Imputing in stata add prefixes to all imputed variables for example which can make reshaping the data difficult. Lets suppose that you are looking for variables with a certain value label attached. Stata news, code tips and tricks, questions, and discussion. Many stata users would reshape the data in two stages using two reshape commands. As an example, consider the data below presented in both formats the data itself is identical, but organized in a different way. Reshaping data wide to long stata learning modules idre stats.
Aggregation and restructuring data from r in action. Each county has four rows of dataone for each year. Hence, taking a dataset from long to wide and back to long will result in getting the same dataset labelling back again. To reshape a wide data set long, you have to specify reshape long. We will begin by creating a subject identifier variable called, cleverly, id. These examples take wide data files and reshape them into long form. However, analysis often requires the long form, where there is one observation per subject per period. In my case, i have all 50 states, 3 variables population, per capita income, and total personal income from 19812018. After that you specify the word kernel that the multiple columns we want to reshape have in common. As described in the benchmarks section below, wideto long reshapes are between 2 and 15 times. I have a database that tracks disbursements twice a year june and december, and the variables columns appeared as jun93, dec93, jan95, dec94, and so on. If youve used stata you might be familiar with its reshape command. The timeinvariant variables are repeated across the multiple records for each child. This naming scheme tells stata that theyre different observations of the same variable.
Reshaping panel data using excel and stata moonhawk kim department of political science stanford university june 27, 2003 figure 1. An example of multiple i variables would be hospital id and patient id within each hospital. The difference is that gather and spread work on key value pairs, emphasis on the singular value, while reshape is fine with having multiple values associated with a single key. Number of variables 17 12 j variable 3 values year xij variables. If you need to modify the structure of your data, you should surely be familiar with reshape and its two functions. Data transformation reshape data cheat sheet get string. Reshaping data sets from wide to long and from long to wide in stata.
The equivalent in the tidyverse would be the gather wide to long and spread long to wide. Reshape long multiple variables per year semesters stata. How to prepare panel data in stata and make panel data. Since in this project i do not have access to a matlab license, i need to solve this with stata a software i am not yet sufficiently acquainted with and took me 3 hours without any progress. How can i reshape doubly or triply wide data to long. These show common examples of reshaping data, but do not exhaustively demonstrate the different kinds of data reshaping that you could encounter. Stata stata offers the reshape command for restructuring data. The long format uses multiple rows for each observation or participant. When going from wide to long, there are some labels which are not defined. Now we can go ahead and reshape the data from wide to long with id as the subject identifier. Data preparationdescriptive statistics princeton university.
Check whether your x y are different numeric types. I have multiple variables within the dataset that i would like to do this for. The variable id has a unique id number for each child. Multiple regression analysis using stata introduction. How to reshape data from wide to long format, and back. That way the imputation model for a given variable in a given period can include values of the same variable in other periods, which are likely to be good predictors. Reshaping multiple variables in one dataset using stata. The xrewide package is an extended version of reshape wide, which saves results in variable characteristics, in addition to the dataset characteristics saved by reshape.
On april 23, 2014, statalist moved from an email list to a forum, based at. See the hierarchical data section of stata for researchers for more discussion of reshape and long vs. There is an r function called reshape from the stats package that does the same thing, just not within the tidyverse framework. Long format is when each observation of each person is its own line. Hi, i am very new to stata and with my uni being closed due to the coronavirus pandemic i am unable to get lessons on how to operate stata. The stata reshape command apparently relies on this naming. Reshaping data from wide to long university of virginia. Each variable has a different number of iterations, that is, one variable has four iterations, the variable has 7 iterations and so on. Reshape from long to wide form with several identifying. Openingsaving a stata datafile quick way of finding variables subsetting using conditional if stata color coding system from spsssas to stata example of a dataset in excel from excel to stata copyandpaste. Please dont get me wrong for specific applications as the one i am working on here, stata. I have read about both the proc transpose and the array options to reshape from long to. These show common examples of reshaping data but do not exhaustively demonstrate the different kinds of data reshaping that you.
What is the stem of the variable going from wide to long. Any variables that dont change across time will have the same value in all the rows. You can retrieve those variables using ds and pass their names to recode. Here is a simple example of a wide form dataset, in which every variable lives in a column. Suppose you have collected data about heterosexual couples. Commands like svyset, tsset, and xtset also have mi versions. Hi, i am trying to reshape a data set from long to wide form. Longitudinal data analysis using stata statistical horizons. We will do using a single reshape command and several recode s.
Reshaping data wide to long stata learning modules. Stata how to substitute two variables in one loop in stata. The most common examples at the sscc are individuals living in a household and a subject being observed multiple times, but there are many other applications. Jun 20, 2016 reshape your data from long to wide, split a column, aggregate. Recode the same value pattern for all variables in stata. As part of the reshape command we create a variable called seq which will be the sequence identifier for the nine observations within each subject.
This module illustrates the power and simplicity of stata in its ability to reshape data files. Country variable 2001 2002 2003 a demand 8 46 776 a supply 4576 576 576 a storage 5 765 765 b demand 7543 76 58 b supply 58 5 65 b storage 864 3 537 c demand 6 48 65 c supply 75 86 458 c storage 587 58 5 to this structure long format. It also allows an arbitrary number of grouping by variables. Reshaping data from wide to long format the do loop. Jan 31, 2011 when i convert data from wide to long format, i use three sets of variables. Stata is a complete, integrated software package that provides all your data science needsdata manipulation, visualization, statistics, and automated reporting.
So each subject county will have data in multiple rows. Ok, so the most important thing about the reshape function is that you have to give it variable names that it can understand. Although the builtin reshape procedure in stata is invaluable for working with panel data, it is known to perform poorly on large datasets see this benchmark and this discussion. Stata s reshape command makes it easy to transform your data from either long to wide format or from wide to long. The basic command reshape is followed by which direction long or wide you want to reshape the data. These show common examples of reshaping data but do not exhaustively demonstrate the different kinds of data reshaping that you could encounter. Notice that the order of variables in varying is like x. Im wondering how to use reshape in stata whenever there are multiple variables. Coding in python is a little different than coding in stata. We are here to help, but wont do your homework or help you pirate software.
In addition, we are often interested in combining multiple observations. Ill use the data from jmt2080ads answer and set the seed to set. For example, you might want to know how many respondents use stata. Panel data refers to data that follows a cross section over timefor example, a sample of individuals surveyed repeatedly for a number of years or data for all 50 states for all census years. These variables may also be present in wide format. You can see the same five counties data below in the long format. Your sandbox data has implicit missing values, so the first two lines get omitted the way i read this in. Stata is a complete, integrated statistical software package that provides everything you need for data science.
Stata is a complete, integrated software package that provides all your data science needsdata manipulation, visualization, statistics, and reproducible reporting. Reshape long multiple variables per year semesters from. It transforms long data into wide format and can aggregate variable within any combinations of id variables. Hi everyone, i am trying to reshape my large datset with lots of missing data and variable names that are mixed character and numeric none of that i want to drop. I am trying to run a regression on the log returns of bitcoin with dummy variables for each day of the week. Each unique variable should have a column, as well as corresponding columns of value, error, and unit, for each. The i variable denotes the logical observation and is often called the group. How to perform a multiple regression analysis in stata. We will do using a single reshape command and several recodes. Jan 18, 2016 use the reshape wide command to create new variables for the types of software hint 1. The reshape command for wide to long requires this information varying. Convert data back to wide form after using reshape long reshape. The issue is that i have two variables, but they arent both in the wide format.
Statas data management features give you complete control. Names of one or more variables in long format that identify multiple records from the same groupindividual. Hierarchical data is any kind of data where observations fall into groups or clusters. To understand how it works, i will start with an example in long format. Then, after having ordered alphabetically the variables thanks to aorder, it is asked to the software to create two new variables for each outcome included in the local macro and to generate. First, lets see how the wide and long forms look like. The stata reshape command can convert the data files between these two formats. The syntax is reshape long wide stubname, ii jj where the stubname is the stub of your variables in this case, it is cond, i is the id variable and j is the new variable youll create or the existing variable if reshaping the data into wide format.
1037 1420 1418 111 7 1411 891 531 1188 1285 471 1382 1040 978 1009 658 1631 371 1434 439 235 132 414 869 1367 31 1182 445 418 39 933 642 500 961