github-trending/2016-12-07.md at master · vrachieru/github ...
github-trending/2016-12-07.md at master · vrachieru/github ...
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github-trending/2016-12-22.md at master · vrachieru/github ...
Why does STATA insist on making my numeric variables string format?
So I am trying to make an Excel sheet into a STATA data file. But whenever I copy paste numerical data into the program, it makes the variable (column) strings instead of e..g long/float/int. It's very weird, some columns which consist exclusively of numbers are long while some are string. So I can't make numerical correlations etc. How do I change this?
Looking for Stata code, to generate new variable in a sequence based on specific criteria
I'm trying to figure out a way to identify the first time a number in a sequence by group (ID) is greater than 29 (number). For example, I would like to end up with the following: ID Number NewVar Date 1 28 0 11/4/21 1 28 0 11/5/21 1 30 1 11/6/21 1 28 0 11/7/21 1 30 0 11/8/21 However what I have been doing, was generating just a regular code, bysort ID: gen NewVar=1 if Number>29, but that doesn't solve my problem that I want only the FIRST time a number is greater than 29 to generate NewVar=1. Is this possible to do in Stata?
Using A Numeric Value in a Cell to Change Function Variables
I have a feeling I'm just missing the vocabulary to properly google this. Say I have =A1-A2 Where A1 = 100 A2 = 20 A3 = 50 B1 = 3 Is there a means of writing that function so that the value of B1 changes A2 to A3? If there is, is there anything additional to take into account when trying to use it to change the range from another sheet in a QUERY function? e.g. =query('Sheet1'!A:C) And I want the value of B1 to make it =query('Sheet1!A3:C) And just to take it all the way to it's actual use case I have a data export that is always outputting every day since 2015. However, the data might not start until 2020, and it's all zero values matched to dates til then. I know I can use "where B>0" to extract the dates that have data, but it's insufficient because I need the data from 2020 to today where the value in B might be zero. I've gotten as far as =MATCH(TRUE,INDEX('Sheet1'!B2:B>0,0),0) as a means of finding the first cell with a value greater than zero. However, if that value was in B1222 it just returns that numerical value of "1222" So it's that numerical value I'm trying to use as a helper to automate finding the start date I need for my Query, so that once I had it it would automate the query into =query('Sheet1'!A1222:C) providing the data from the day it really begins to today.
Is there a way to identify the type of distribution of one variable in stata?
I came across this article which tests the goodness of fit for 14 different types of distributions and 2 transformations at once for any variable in minitab using anderson-darling statistics, p value and 3 parameter LRT p value. This got me thinking if there is any similar command in STATA, or we can check it one by one for each distribution currently.
How to manage multiple categorical variables (with multiple levels) in STATA
Hi peers, I am starting to run an econometric analysis considering the outcomes of a nationwide survey about the role of pesticides in the beekeeping sector. In the survey, people were asked to assign a value for each environmental hazard(from 1 to 4 from "less risky" to "higher riskiness" -> for those I created four dummy variables for each category). The dependent variable is also a dummy variable, pesticides (pest_d1 where 1=high risk perceived and 0=otherwise). Then I run a logit model in this way (every dependent variable has 3 dummy variables (4-1 to avoi dmulticollinearity)) logit pest_d cc_d1 cc_d2 cc_d3 l_habitatd1 l_habitatd2 l_habitatd3 org_agrid1 org_agrid2 org_agrid3 and then I made Odds ratio and I got this
My questions are: - Am I doing the right analysis by using the "logit" command? Cause I actually don't know how to manage categorical variables with multiple levels; - I was thinking of doing a marginsplot to show the relations among those variables, but still, I don't know how to make it with categorical variables w/ multiple levels. Could you help me suggest any kind of analysis? Thanks in advance
Doubt on Control Variables in Random Effects Regression in Stata.
I am working on my thesis. I am using the Random Effects Regression method in Stata. In this project, there are multiple independent variables. I also have to insert some control variables in the program but I am unsure how to do that. Could anyone please explain how to do that? Thank you in advance.
Qualtrics separates categorical select all questions into discrete variables for each answer. For example, instead of Q1 with three answers been by one variable, it is Q1-1, Q1-2, Q1-3 as three separate variables. How do I combine these under one question variable in Stata?
Adding an extra word in the non-numeric value of a string variable
I want to add an extra word in my county_name column. I want to add county at the end of every county name. Like if it has "New York" , I want to write it as "New York County". Like if it has "Cook" , I want to write it as "Cook County". I need to merge it with another data, and that dataset has the county name in that particular way. Is it possible to do such thing on stata or Do I need to convert it to excel ?
----------------------- copy starting from the next line ----------------------- [CODE] * Example generated by -dataex-. For more info, type help dataex clear input str20 state_name long county_fips str21 county_name "New York" 36061 "New York" "California" 6037 "Los Angeles" "Illinois" 17031 "Cook" "Florida" 12086 "Miami-Dade" "Texas" 48113 "Dallas" "Pennsylvania" 42101 "Philadelphia" "Texas" 48201 "Harris" "Georgia" 13121 "Fulton" "District of Columbia" 11001 "District of Columbia" "Massachusetts" 25025 "Suffolk" "Arizona" 4013 "Maricopa"
Trying to use the String(realnum) function. This is killing me. All I need is for the numeric value of the stat to be converted to a string and displayed using draw. These variables are declared using a godobject in the room at the start of the game. Cant screencap on this PC so have a pic, sorry.
How to determine endogenous variables from an econometrics model using STATA? Actions in case of weak instrumental variable>
Hello, I am trying to run a fixed effect regression where my dependent variable is gender inequality. Regressors are the microfinance index, GDP per capita, gov investment, and others. So in one of the papers, they found there is no endogeneity between gender inequality and GNI per capita. Another paper showed endogeneity between income inequality and other regressors (used the Davidson-MacKinnon endogeneity test). I sought answers in google, statalist but am still left confused regarding the commands in STATA. Basically, I want to know which variables should I instrument in my regression.
Convergence of 3 variables into a new variable in stata (for full date) - new to stata
Hello, I have variables for day, month and year within stata. However, I would like to converge these variables as a new variable within stata so as to have the full date. I have tried to find online how to converge these variables however the commands I tried seemed not to achieve the results desired. Can you kindly suggest commands for this please? Thank you.
Creating variable that counts number of IDs within a category in Stata
I'm new to Stata and I am trying in vain to create a new variable that I can use together with my other variables for a linear regression model.. I want to create a new variable that sorts the number of IDs by category. I thought the following would be correct: egen total_id = count(id), by(category) But it seems to count the new total_id for every 'line'.. So instead of giving me e.g. three total id numbers for three categories, it sums the total_id for every id which ends up being a giant number.. It works when I did the collapse command: collapse (count) id, by(category) But I don't understand how to add it to my current dataset. :( I feel like this should be very simple, but I am a total noob at this. Thanks in advance.
How to identify endogenous variables for panel data (fixed effect) in STATA?
Hello, I am trying to run a fixed effect regression where my dependent variable is gender inequality. Regressors are the microfinance index, GDP per capita, gov investment, and others. So in one of the papers, they found there is no endogeneity between gender inequality and GNI per capita. Another paper showed endogeneity between income inequality and other regressors (used the Davidson-MacKinnon endogeneity test). I sought answers in google, statalist but am still left confused regarding the commands in STATA. Basically, I want to know which variables should I instrument in my regression. Also, if I use robust standard errors, do I control for heteroskedasticity?
Factors vs numeric variables when running GEE models in R?
I'm running a GEE model to examine unit nonresponse. The dependent variable is unit nonresponse, and the independent variables are the unit position in the panel data and the education of the participant. The education levels is split into four four groups: primary school, high school, bachelor's degree and master's degree or higher. When running the GEE regression model, is it better to have the education variable as a factor with 4 levels, or as a numeric variable that's 1 = primary school, 2 = high school, 3 = bachelor's, 4 = master's +?
Hello everyone, I hope you are all good. I am new to Stata and I am solving exercises from few books, however, they do not list the solutions and I am getting frustrated by this small problem. I have dataset in which age variable has values that go in ranges such as 15-20 30-40 etc etc. Now, the problem is that the question asks me to generate a new variable within the age rage of 15-50 year old. I am struggling to generate this variable since the values are saved in ranges not in simple numbers. Please anyone help me out with this.
How can I create a table with 2 independent numeric variables in SPSS?
I'm trying to tabulate some concentrations of compounds to eventually test if tide (or depth for other samples) and distance along a sampling transect affect these compounds (the 5 variables on the right). However, the only way I can think to do this is in the attached image, where I'm forced to repeat the distance measurements which results in them getting treated as separate values. If I just split each dependent variable into two based on tide, then I no longer have that independent variable which slows things down quite a bit. Also, I'm trying to make my Tide variable binary, but I don't see an option for that - perhaps that's also a problem here? Here's my table. Thanks in advance
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