Reshape long string stata software

There are two important differences with stata merge. When the option by is not specified, merges are based on variables with common names. 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. Using example data from the world bank we show how to transform a wide format panel to a long format panel in stata using the reshape command. In the above code, long tells stata that you want to restructure data from wide format to long format. Reshaping data in stata wide to long and long to wide. The option string says that the j variable is a string variable. The text weight calories indicates the variables to be converted, and iid tells stata that id is the identifier you can have more than one. From string to stata format this blog post discusses the. In our dataset, there are 2 variables which are inc and ue. Data preparationdescriptive statistics princeton university.

Converting data from wide to long format using excel hindiurdu duration. For this example, the variables for each case, are as follows. If the data isnt set up right, the software wont be able to run any of your analyses. Reshaping data wide to long stata learning modules. Extracting and reshaping world fertility survey data in stata. You can work with byte, integer, long, float, string and double variables. 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. Stata requires the variables over which we perform the reshape command to be numbers rather than string. The wide and long data format for repeated measures data. The command is useful when needing to change a dataset from wide format to long format. Reshaping data long to wide stata learning modules. With a force option, datasets containing numeric variables may also be transposed. The reshape command reconstructs your dataset to wide or long form. If you then reshape back to wide format, you will have all the original entries, including empty ones added for padding.

Reshape data in stata an easy to understand tutorial. It does not have an option to save the value or variable labels of the variables that change. Reed college stata help reshaping your data in stata. Stata gives you complete control of all types of data. In stata, there are many ways to solve a problem, like there are many ways to prove the pythagorean theorem. It also is possible to reshape a wide data file to be long when there are character suffixes. Now we can go ahead and reshape the data from wide to long with id as the subject identifier. If you need to modify the structure of your data, you should surely be familiar with reshape and its two functions. Home online help statistical packages stata reshape world development indicators for stata analysis. Your sandbox data has implicit missing values, so the first two lines get omitted the way i read this in. Borrowing wickhams definition, in this format a each variable forms a column, b each observation forms a row, and c each type of observational unit forms a table.

Use the reshape wide command to create new variables for the types of software hint 1. How can i reshape doubly or triply wide data to long. I am having difficulty analysing this using a linear regression in stata. Placeholders like and show where userspecified values go in each language. These examples take wide data files and reshape them into long form. The long format uses multiple rows for each observation or participant. To reshape a wide data set long, you have to specify reshape long. This module illustrates the power and simplicity of stata in its ability to reshape data files. We are here to help, but wont do your homework or help you pirate software. One of the key data management tools stata provides is reshape d reshape. Stata for econ capstone stata research guides at bates.

These show common examples of reshaping data, but do not exhaustively demonstrate the different kinds of data reshaping that you could encounter. Hi, kit your procedure for my reshape problem works almost perfect, the thing is that my descriptor usually is a very long string such as total factor productivity and when i do. And, like the pythagorean theorem proofs, there are the very long ones, the shorter ones, and the one that is the most elegant of all. Say we have data on 500 patients stored in our stata dataset patients. Once i have reshaped, it is changing all my variable names to be value. For downloads it can take a bit of work to change the data and rework it before stata can be used to merge it with other data. There are two cases in which you will want to convert string variables to numeric. These examples take long data files and reshape them into wide form. These show common examples of reshaping data but do not exhaustively demonstrate the different kinds of data reshaping that you. Geocenterstatatraining the worlds leading software.

The stata topython translations below are written assuming that you have a single dataframe called df. Perhaps the most common kind of problem in practice is to reshape from wide to long. Apr 18, 2020 faster implementation of statas collapse, reshape, xtile, egen, isid, and more using c plugins mcaceresbstata gtools. Reshaping data from wide to long university of virginia. Specify for the first dimension to let reshape automatically. Stata offers the reshape command for restructuring data. If you use the option string teacher ids will be generated as string variables rather than missing. Sometimes you need to reshape your data which is in a wide format like shown below. We are starting with the worksheet initial download. You can recognize these in the data editor because they will be colored red. They take up more memory and are not useful for your regressions, etc. 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.

The other useful option is string which tells stata that the the variable specified in j is a string variable. Dss reshape world development indicators for stata analysis. If anyone has any ideas for how to get my data to reshape to long, i would appreciate it so much. Description of basic syntax wide and long data forms avoiding and correcting mistakes reshape long and reshape wide without arguments missing variables advanced issues with basic syntax. The stata reshape command can convert the data files between these two formats. After that you specify the word kernel that the multiple columns we want to reshape have in common.

Reshape a 4by4 square matrix into a matrix that has 2 columns. The issue is that i have two variables, but they arent both in the wide format. Your data may come compactly stored with information for each individual in one row case, observation, but stata shows a marked preference for long structures, especially when observations are repeated across time for each individual in a dataset. Transform wide data into long data using stata youtube. The pisa dataset is different in that rather than having one score for reading, it lists 10 plausible scores. After that, we have to specify the names of the variables which are in the wide format. Hello everybody, i need to reshape wide data to long. Since we need to convert the data from a wide format to a long format, this is why the command that we wrote was reshape long. Wen there are multiple matches both in the master and using datasets, r functions create all combinations of rows, similarly to joinby and contrary to merge m. After reshaping my dataset using the reshape command, some of the variable and value labels are deleted.

Mar 10, 2020 stata software is best for your mac, in which it provides you, multilevels models. Similar work can be done for other downloads from databases like amadeus or bankscope. Reshape in r from wide to long and from long to wide. In this blog post i will use the reshape command to change datastream data as an example. Lets begin with looking at a table where the data is tidy. How to programming with stata how to build software. I also tried to first make the software to list all variables neglecting the twodigit numbers at their ends so i can later use the list as the input to reshape but i couldnt find an easy way for this either since variable names are of different lengths and apparently there is no way in stata to refer to a sub string in the beginning of a. Those contemplating anything identifying with getting most recent information are for the most part the clients of this product.

This article will outline one of the issues in data set up. We will be referring to this as long format data although other naming conventions exist, see below. A few fields of study make utilization of this product. A nice feature of the wfs command is that it can work directly from the dhs data archive. In some cases, you may have to apply reshape twice to solve a particularly knotty data management. We can also use reshape to manipulate small segments of the data that are panellike. Download free stata 15 updated full version i free. You can now use stata s string variables to hold exceedingly long strings, even the contents of files or even binary files. The,replace at the end just means that if a log file of this name exists in this folder then write over it this is useful if you are running the syntax for a project multiple. Reshape function in r transforms the data from wide to long and also transforms back the data from long to wide. Syntax data analysis and statistical software stata. An external package titled pisatools downloaded online has a command titled pisareg, designed for stata, to. Reshape the data long so that r and stata form their own columns and can be sorted by year hint. Stata 15 is a product that was made and created to analyze, delivering and overseeing information.

This video introduces the reshape command in stata. For example, if you type reshape long after you have reshaped the data to be wide, stata will revert the data. Note that we want our long data set to contain a new string variable called name. Stata news, code tips and tricks, questions, and discussion. And in many data situations, you will need to set up the data different ways for different parts of the analyses. The following example data contains two participants measured on two outcome variables weight and calories, under three different time points.

The stata reshape command apparently relies on this naming. An external package titled pisatools downloaded online has a command titled pisareg, designed for stata, to analyse the dataset. Reshape matrix to have specified number of columns. Note that in many cases, will be simple text in stata e. Ok, so the most important thing about the reshape function is that you have to give it variable names that it can understand.

The option nodrop can be used with reshape long to keep all of the entries. Ive been browsing the stata help forums and i didnt see a solution to this issue anywhere, other than to destring the variable. To create andor modify a numeric variable, you could use the compute command. Reshape world development indicators for panel data analysis. We have discussed melting and casting in r which is another way of transforming data. Is there a way to retrieve the original labels and apply them to the reshaped dataset. When going from wide to long, there are some labels which are not defined. This syntax is cumbersome to support and prone to errors given the degree to which greshape had to rewrite the base code.