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Play and Listen 045 histogram in statcrunch 406 relative frequency histogram in statcrunch 538 histogram in excel 1620 frequency polygon in excel 1852 Graphing: Histograms and frequency polygons in EXCEL Mp3. COUNTIF(A,B) counts the number of occurrences of a value in the range A that satisfy the criterion B. Select “Next” and give the data range a name like “Frequency” 15. “Finish” and the chart will look like the prototype. Alternative ways to create histogram in Excel.

This blog is a free Stata tutorial. I have been using Stata for the last two years now for different applied work in economics and other fields of the social sciences. If you are in your undergraduate or graduate studies or if you are working for some agency that performs social research, you will probably need to use Stata in the context of your project. Stata has an extensive manual which is very accessible, in my opinion, but in order to know how to use it, one needs to already know the commands' names. However, if you are new to Stata, and you have a project to do, there is a sequence of actions you probably need to do. This tutorial is constructed to follow this sequence: data assembly and construction of additional variables.

Then I deliberately skip talking about commands that perform statistical analyses and leave it to your statistics or econometrics courses. But the second part of the tutorial (steps #5-#8) are dedicated to automating those commands and the creation of tables which will report the results. In addition, there are best practices of how to write code that will be easy to follow and change if needed. The steps are as follows (keep in mind that the tutorial is still under construction):. if your Data isn't in.dta format - Excel as an example. for datasets already in.dta format.

generate variables, change values and drop variables or observations. a very powerful command that extends the possibilities of data manipulation. How to tell your program to use the output from reg, sum, etc.

macros, loops, and other sorts of fun. Step #7: Exporting Results to a Spreadsheet - Excel as an example. Step #8: Program Definition - if you start to see the same code in many.do files, maybe you should read this step. I did not find time to fill in steps #7 and #8 here. For step #7, and other good things, I prepared some slides for a short Stata sequence I gave at the department.

Hi Keith, I'm not sure I understand exactly where the males come into the regression, but I am assuming you need to run this regressions for males only? Or do you want to run the regression for all observations and allow just some of the variables to have a different effect for males and females?

If you want to run the regression just for males, add the if option after the command: clogit y x11 x12 x21 x31 x32 x41 if male1,group (setid) If you are looking for the second option, you will need to interact the variables you want to allow the effect to vary between males and females. For example, if you want to see how the effect of x11 changes between males and females (while the rest of the variables have the same effect on both), you should run: gen malex11 = male. x11 clogit y x11 malex11 male x12 x21 x31 x32 x41, group (setid) The effect of x11 for females will be the coefficient reported for x11, and the effect of x11 for females will be the sum of the x11 coefficient and the malex11 coefficient. I hope that answers your question.

Hello Stataman:) I love your Stata Blog, it look like the clearest, i.e. Best guide i could find on the net. So firstly a big thank you! I am having one small problem however. I am using Stata on a Mac computer.

I am trying to load an excel file onto Stata and therefore have been reading your guide for that. The problem is that i cannot input the 'location' of my file to type it into the command window.

The only location name my Mac gives me doesn't seem to be working when i type it in exactly as you describe. I wonder if it would be easier, instead of typing the precise commands into the commands window, you know how to go about doing it in the more tedious way? Epson scanner 3590 driver for mac. Through the panel at the top?

'file', 'open' etc.???? The deadline for my project is in a few days, i would be extremely grateful if you could reply before then! Fingers crossed, Galia.

Thanks Galia! I have got to say I have no experience with Mac whatsoever. I worked with UNIX, some Linux and mainly Windows, but never on a Mac, so I don't know even how files are saved and referred to in Mac. The best I could find was here: (maybe this will help you to get the location of the file). There are other ways to get the data. I'm assuming you wanted the location (or path) of the file for the insheet command, but you can try to use StatTransfer if you have it (the best way that I know of), or you can simply write 'edit' in the command line, then open the Excel file, copy the columns you need and paste it into the data editor that Stata opened after you entered 'edit'. In Windows the paste action is done by clicking Ctrl-V.

I understand that the Mac counterpart is Cmd-V. Does that help in any way? Hi Stataman, I am new to Stata (have been using Eviews earlier), and despite of your excellent blog I'm still facing some basic trouble getting my panel data right into the editor.

I have a 'normal' panel so to speak, with 'Country' in the first column, 'Year' in the second, and then the variables. When I try to get it into Stata from Excel, either by using Stattransfer or by Copy/Paste, 'Country' is all the time being treated as a string variable, no matter what I do, i.e.

The panel can't be estimated. 'Year' is being treated as 'Int'.

What am I doing wrong? Hi Odovakar, I don't know how your country is coded. If it's coded like 'ARG', 'USA', etc, then there is no other choice but to treat the original country variable as a string.

If there is a number code that StatTransfer fails to code into a numeric Stata variable, then look again at your Excel - there is probably a tiny green triangle in the top-right corner of each cell that says that the numbers are treated as strings. You can click on the green triangle and tell Excel to treat them as numbers. But, in any case, even if the country is coded as string, and you want to give it a numeric code, you can use the following command in Stata (assuming the original country variable is named 'country'): egen countrycode = group(country) And then you have a code for each distinct string stored under country.

Hi again Stataman, Thank you very much for your previous help - I immediately got it right! You are the best.

Now, a rude leecher as I am (as well as a Stata newbie.), I have to ask you once again for some help. I have in vain for several days now been reading everywhere on the Internet and in manuals, and have been experimenting with commands such as vif, xtserial, hettest and xtgls, but without luck. All I want to do is to test my panel models for autoregression, multicollinearity and heteroscedasticity. Please tell me simply: How do I do this? Nothing seems to work and I get different kinds of error messages all the time.

I have estimated a few log-log models with fixed effects, and one with random effects as well. Also: Is there any simple command in Stata with which to estimate an EGLS panel model, such as the settings available in Eviews? All the best to you! Hi again Stataman, Thank you very much for your previous help - I immediately got it right! You are the best. Now, a rude leecher as I am (as well as a Stata newbie.), I have to ask you once again for some help. I have in vain for several days now been reading everywhere on the Internet and in manuals, and have been experimenting with commands such as vif, xtserial, hettest and xtgls, but without any luck.

All I want to do is to test my panel models for autoregression, multicollinearity and heteroscedasticity. Please tell me simply and generally: How do I do this? Nothing seems to work and I get different kinds of error messages all the time. I have estimated a few log-log models with fixed effects, and one with random effects as well. Also: Is there any simple command available in Stata with which to estimate an EGLS panel model, such as the settings that are available in Eviews? All the best to you! Sorry for this huge delay in answer, but first year PhD is tough here.

In any case, it would have been more helpful if you could copy & paste the errors you got. To tell you the truth, I didn't have the chance to use any of the commands you mentioned, but I experimented with some now and hopefully I can help with some of them. Xtserial - you first need to specify how your panel looks like with the tsset command. For example, suppose I have a panel of years and countries. Then I should first run: tsset country year and then xtserial where variable is what you want to check autocorrelation in. A note about tsset.

If you have the panel defined by either a string variable or more than one variable (country, province, county, town) then to have one numeric variable with a code for each of the combinations you can run: egen varname = groupwhere varname should have the name of the variable you want to keep the code in, and varlist is like the 'country province county town'. Then you run tsset varname year 2. Xtgls In xtgls you just need to specify the group-identifying-variable (country in our case) with the i option: xtgls agrigdp rainfall, i(country) 3. I never heard of EGLS. I know FGLS and you have several ways to implement it. I guess xtgls implements one of them. Again, sorry for the long delay.

Pretty hard for me to tell. If you're working on a panel data, make sure you do the tsset before the command with both the repeated-observation identifying variable and the time variable. This is what I did to see if the command works: set mem 20m set obs 20000 gen year = 2000 + mod(n, 3) gen x = mod(n,6667) drawnorm u tsset x year xtserial u Then I got: Wooldridge test for autocorrelation in panel data H0: no first order autocorrelation F( 1, 6665) = 0.108 Prob F = 0.7427 (as expected, as I drew u regardless of years) Try to copy the list of commands above and see how the structure of the dataset is different than yours. In general, the 'no observations' error comes up in two cases: (1) there are actually no observations in the data (2) there are observations, but they have missing values (the annoying '.' Maybe one of the years has missing values throughout, even though other years are ok. Make sure all years have non-missing values (at least some - probably more than one, but no need to have them all full). I haven't done much factor analysis in the past.

My first two guesses would be to either check that you have nonmissing values for the varlist you give or check that your conditions (if you have any) match at least some observations (and that the value of the variables for those observations specifically is nonmissing). To check that your condition is ok, you can do: sum varlist if If you get 0 in the number of observations, you should check your condition again. Any other suggestions are, as always, welcome. Well, you can graph something, but it will not give you extra information.

Remember, the binary dependent variables models, such as probit or logit, will give you an estimate of the probability to get 1 in the dependent variable given your independent variables. If your independent variable is also binary then you can plot a graph that connects between the dots: (0,Pry=1 x=0) and (1,Pry=1 x=1). As you can see, in this case you can simply report those probabilities in your text or table. I hope that answers the question.

Hi, I just discovered your blog! I'm trying to run a fixed effects model on cross sectional data (not panel data), but every time I run the model, I get this error:. Xtreg ratioarriv gdporigin hdiorigin giniorigin empireo percmfgo culsit eo travelo embassies regiond regiono popmillo gdpdest hdidest ginidest empired percmfgd culsited traveld popmilld empiresame regionsame, fe must specify panelvar; use xtset r(459); Why is this and how can I 'fix' it? Victoria, to run fixed effects you must specify which variable has the group code for the groups you want to run fixed effects for. This can be done in two ways. Suppose is a country code (it should be numeric. If you have a string code like a three-letter code, run 'egen countrynum = group(country)').

After you have the countrynum as the variable that contains each country's distinct code, you can run fixed effects in two ways: 1. Directly, with an i(.) argument: xtreg depvar indepvars, fe i(countrynum) 2. Indirectly, by specifying the panel's structure. Xtset countrynum Or if there's a time variable too, like year: xtset countrynum year see 'help xtset' for more details on the second approach.=-=-=-=-=-= Lim, I think I have something in the egen chapter about how to populate a value. It's pretty simple. Suppose the individual id is stored in a variable named individ: egen ethnicitytemp = max(ethnicity), by(individ) replace ethnicity = ethnicitytemp drop ethnicitytemp -=-=-=-=-=-=-=-=-=- Luisa, Try to avoid using the space bar after the 'i.' Stata reads commands in words, so if you do 'i.

Variable' it reads the i. Separately and expects a variable name to come right after the dot. Try running: xi: xtpcse endcp1 vario crec tam end1 z pi diftasa pib z2 i.nit i.ao, correlation(ar1) -=-=-=-=-=. Victoria, to run fixed effects you must specify which variable has the group code for the groups you want to run fixed effects for. This can be done in two ways. Suppose is a country code (it should be numeric. If you have a string code like a three-letter code, run 'egen countrynum = group(country)').

After you have the countrynum as the variable that contains each country's distinct code, you can run fixed effects in two ways: 1. Directly, with an i(.) argument: xtreg depvar indepvars, fe i(countrynum) 2. Indirectly, by specifying the panel's structure. Xtset countrynum Or if there's a time variable too, like year: xtset countrynum year see 'help xtset' for more details on the second approach.=-=-=-=-=-= Lim, I think I have something in the egen chapter about how to populate a value. It's pretty simple.

Suppose the individual id is stored in a variable named individ: egen ethnicitytemp = max(ethnicity), by(individ) replace ethnicity = ethnicitytemp drop ethnicitytemp -=-=-=-=-=-=-=-=-=- Luisa, Try to avoid using the space bar after the 'i.' Stata reads commands in words, so if you do 'i. Variable' it reads the i.

Separately and expects a variable name to come right after the dot. Try running: xi: xtpcse endcp1 vario crec tam end1 z pi diftasa pib z2 i.nit i.ao, correlation(ar1) -=-=-=-=-=. Thanks for answer!! I tried to estimate the model again with your recommendation but I get another error:. Xi: xtpcse endcp1 vario crec tam end1 z pi diftasa pib z2 i.nit i.ao, correlation(ar1) no room to add more variables An attempt was made to add a variable that would have resulted in more than 5000 or 4999 variables (Stata reserves one variable for its own use). You have the following alternatives: 1.

Drop some variables; see help drop. If you are using Stata/SE, increase maxvar; see help maxvar. R(900); I drop the variables that I am not using and I set the maximum variables possible (5000) What else can I do? Well, it looks like you have too many categories in your fixed effects (total possible values in the nit and ao variables is too high). This poses a computational problem for Stata. As for a solution, I am not familiar with the command you are using, neither am I familiar with the dataset and the econometric model.

If your data is truly a panel, maybe nit or ao are the variables that define the group? Try to use xtset to define the dataset as a panel and get rid of the explicit use of the i.var coefficients. Sorry I can't help more.

Download Lagu Frequency Counts And Histograms In Excel For Mac Pdf

Hi Kristine, Sorry for the delay. I had some personal stuff to attend to. What you can do is use the following command: gen in2009 = year2009 egen hhin2009 = max(in2009), by(hh) keep if year 2007 & hhin2009 The first command will create a dummy variable with 1's for the observations for which the year variable contains 2009. The second command will take each household and give it the maximum of the in2009 variable, which is 1 if this household has an observation in 2009 or 0 if there is no observation in 2009.

Finally, the last command will keep the 2007 observations of households that also appear in 2009. I hope this helps. It's a bit hard without knowing how the original dataset looks like.

You say that every dyad appears several times (hence 'number of observations' on the x-axis). If this is the case, you probably want to collapse the dataset so that every dyad will be one observation and you will create a new variable with the number of observations this dyad had in the original dataset. In addition you get some y variable (tourist flow percentage). I'm not sure how this y variable appears in the original dataset. Suppose you have it for each observation in the original dataset and you want to present the mean y (mean tourist flow percentage). You can select other statistics than mean.

So if this is how your original dataset looks like (every dyad appears several times, with some y-variable for each observation). You can do: /. The following command will collapse the dataset from multiple-observations per dyad to one-observation per dyad, where we mean the touristflow variable and count the number of observations in each dyad and put it in the variable obsnum./ collapse touristflows (count) obsnum=dyadid, by(dyadid) /.

The following line will draw the plot./ twoway (scatter touristflows obsnum) I hope this is what you wanted to do. If not, I hope this gives you a hint at what you're aiming to. Sorry I can't help more, Roy. Hey stataman!

I have a noob question concerning the estimation of a random effects model (xtreg re). I hope you can help me: I have run the random effects model and accordingly a fixed effects model. Afterwords I performed a hausman test which was insignificant (confirming that my data allows to be estimated with random effects) I also confirmed this with the Breusch-Pagan Lagrange multiplier test for random effects. I am now testing the assumptions for my model, but I am unsure about all the assumptions that should be tested. For now I have tested my models for collinearity(collin), heteroscedasticity(lrtest) and autocorrelation(xtserial). I am however unsure whether I have to test for other assumptions?

Maybe you have a clue. I have some textbooks(wooldridge & Baltagli) concerning random effects modelling but since I am a econometrics-illiterate, I do not understand everything. Thnx in advance! Kind regards David. Hi David, Hmmm.

I'm not sure what to say. It's very hard to run tests without knowing what are your maintained assumptions. Moreover 'testing assumptions' is something that you can't do without maintaining others. For example, testing for endogeneity of some variables requires you to assume that the instrumental variables you use are exogenous (which you can't test, but. In other words, if it's something that you can check, it's not really an assumption. It is more of a result.

This is an econometrics question and not a Stata question. My take is that you can't really do econometrics without having some economic/behavioral model (even if simple or implicit) behind. This model, and your understanding of the data, should give you ideas about what assumptions are required for you to test your hypotheses using the data at hand. It might be just my take on it (or my econometrics professors') and others will think that you can test hypotheses (or assumptions if you insist) without thinking about the mechanism or a model. I'm sorry I can't help you more on this. Hello Stataman, I am running some data and applying kmeans cluster. I got 3 different groups.

My furter step is to apply a fuzzy c-means cluster and get the degree of membership of each observation to each fuzzy cluster, but I do know how to get it. For your reference, I applied the following sentece: cluster kmeans stupdifte pubpdifte patapplpdifte, k(3) measure(L2) name(prueba) start(prandom) And for the fuzzy option, I read something like that in the Stata help: cluster set myclus, addname type(fuzzy) method(kmeans) dissimilarity(L1) var(group g2l1) But nothing happens. Please, could you help me? Thanks in advance.

Thanks for the reply stataman. Yes, the problem is that I have to 'import' data from web-based tables that all have different column headings.

The issue is compounded by the fact that the leading 0 or 0s get dropped on import, but which are vital to maintain, column headings are not STATA friendly, etc. I have used a similar technique to your suggestion that basically involves importing the data (by cutting and pasting into the data editor) into STATA 11 two times. On the first run I treat the first row of data as an observation, so that the leading 0's don't drop. On the second run I treat the first row as headings. Then it is matter of having to click each heading to get the list of variables (like in your example). Of course, this takes a lot of time! And is tedious.

The only way around is to find a programmatic way. Unfortunately, neither of our efforts yets solves it so that I only have to import the data once.treating the first as data.and them simply renaming var1-var(n) the first row. Would be so easy to accomplish in Java, C, etc. That it is quite frustrating how impossible it seems in STATA. If you (or any of your readers) can think of an answer.

Please post back! Thanks again, daticon. If that's the problem you can take the first line (or any line) of the data (in the format from which you want to import from), and add some character (non-numeric character) to the value of the variable you want to be imported as a string. Save your file, import it to Stata, and fix the value of the first line that you changed (take the character away). Alternatively, if your leading zeros create a number of equal length across the dataset (say 9 digits), you can run: gen stringvar = string(var, '%09.0f') (right after you import) I hope this helps. I wish it would.but that would take longer than the 'paste into STATA 2 times' option. I may look at ways I could fix files using Java first, and then import into STATA.but that will have to be some weekend fun.

Unfortunately, the only 'fix' that will save me time is the ability to paste once into STATA and then rename all the column headers (var1 - var(n)) to the contents of the first row. I do appreciate all the suggestions, but I really do need an automatic / programmatic answer to this. Hi Stata man, I'm trying to conduct a negative binomial regression. With the emphasis on trying! I get stuck before even running it. When I enter the syntax (or via the tabs above)I get: number of dependent variables for equation 1 must be greater than zero.

This, while I most certainly did select a dependent variable! I cannot find out what that means (beyond what it litteraly says) and how to solve it. I can conduct, for example, a linear regression, create graphs so i dont think that its a data-import problem. And yes, Im new to stata (or negative binomial regression for that matter:) I hope you can help me Sincerely yours, Paul de Boer.

Hi, stata man, I have a question that I can't solve. I've got panel data of company stocks and their month-end prices. For instance, for firm ABC, its stock prices are Jan 31, 20x1 $10.00, Feb 28, 20x1 $11.20, and so on. The data set is in a vertical form. For each year, I'm trying to calculate each stock's average monthly return based on the change in stock price from Dec 31, 20x1 and Dec 31, 20x2. That is Pr(month 13)/ Pr(month 1) - 1 / 12. I can't figure out how to do this in Stata but I'm guessing its in relative observations values.

I appreciate your help. Hi Stataman, First of all, thanks a lot for this very useful blog! I have some troubles performing a unit root test for an unbalanced panel with xtunitroot and would appreciate your help. My original variable is numeric and log-transformed ('logsalesperemp').

I tried to run a unit root test (fisher pperron) using the following command but got the error 'r(2000) no observations'. Note that I tsset the data before running the program and also tried with ips test but no panel was used and no result returned. Have you already encountered this error with xtunitroot? Any idea where the problem comes from? Xtunitroot fisher logsalesperemp, pperron lags(2). Woody: Now that I know that you are using a model with the usual linear assumptions, back to your original question.

A stats program can't automatically fix problems of heteroskedasticity and autocorrelation. Solutions come from the human. Heteroskedasticity can mean that you have a missing variable in your model or your data set comes from different populations.

In the first case, you add the missing explanatory variable to your model if you can identify it. In the second case, you can split your data into two (or more) data sets and run your model separately on each set. Regarding the problem of autocorrelation, it seems to me that you have cross-sectional data rather then time-series so I'm not clear on why you have an autocorrelation problem in your logit model. Hi, nice guide. Im just looking for one solution, I have a huge data set with many N/A, N/R and some string saying 'data not found for year 20xx for company with code 'asdf'. Ofc i coudl replace that in excel with a rather complicated if command, but since it is so easy to replace the N/A and N/R in Excel with a. For missing values, i would just like to replace any string left in my data with a c.

Directly in stata. So to sum up is it possible to use i.e.

The replace command to just replace any string in any variable? Hi, stataman, I'm studying economics in university and I start to use STATA in recent days. I have a question. I get a 'no observations' error message -r(2000) when I gave the following command (and had the shown output): probit bio09 emagri08 exrate08 upov08 but When I gave the following command (and had the shown output): probit bio09 emagri08 upov08, I can get result. Supposedly, the data 'exrate08' has a problem. Do you have some solutions? This data's type is 'str2' and format is '%92.'

'bio09' is dummy variable whether a country cultivate GM crops. 'emagri08' is employment in agriculture by country. 'exrate08' is exchange rate by country. 'upov08' is dummy variable whether a country affiliates UPOV. Kyoko: Stata is reading exrate08 as a string variable meaning that it is reading the field as non-numeric. Functions like -probit- need numeric data to run.

That's why you get the 'no observations' error. Stata doesn't see any numeric data in that field. As a first step to solve this problem, I suggest that you look at the data in this field to see what characters or entries are being interpreted as non-numeric.list exrate08- The solution depends on what's causing Stata to read the data as string data. You could have alpha characters in this field. This link may help: Also, Stataman gave someone else a solution to a similar problem on November 30, 2010 so you might want to read that discussion. But I'd suggest that you understand what's causing Stata to read the field as string data before using -destring.destring- alters your data set. Sorry for so many comments!

I basically want to graph the outcome of: table region dateinscrd Where the frequencies in the table are the number of sites in each region by year (correct?) eg dateinscribed nameen 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 Africa 4 3 7 5 3 2 3 1 2 2 3 2 Arab States 9 4 2 9 4 6 3 2 3 1 Asia and the Pacific 5 3 5 5 4 3 5 5 11 5 1 Europe and North America 7 25 10 11 3 18 10 14 17 17 12 3 Latin America and the Caribbean 2 2 3 3 4 5 2 4 2 9 4. Hi stata man!

May I ask a question that has been evading me for days, but I can't believe is that hard! Stata man, blog is great. Question for you.

I am looking at a time series of data (15years or so) for a bunch of firms. I am trying to estimate a left hand side variable for firm i and I am supposed to estimate my coefficients by industry and year, excluding firm i. So essentially, I've got 76,000 observations and lets say I've got 20 observations in industry 'a' in year 't'. I've got to run a regression for firms 2-20 in that industry/year to estimate my coefficients (I've got all relevant left and right hand side variables), then plug in those estimates with my right hand side variables for firm 1 in that industry/year to calculate my left hand side dependent variable.

Then repeat for firm 2, etc. Any suggestions on how to write this code? Hi I am trying to find effect of a policy variable (dummy) that does not change over time, on a pooled cross sectional database consisting of more than 100 countries. I have 500 observations. In my regression I tried to use country dummies ( 1 for specific country 0 for others) but stata says 'no observations' but when I run regression without these country dummies the results are there. Can you please tell me what is going wrong?

Is there anyother way to include country dummies rather than the technique I just described? Dear Stataman, Please help me. I intend to do discrete choice modeling. I have thousands of patients (say 5,000) and a few hospitals and tens of surgeons.

Hospital-surgeon pair is a choice. Each patient faces around 50 choices. My dataset has one observation for each patient which corresponds to the chosen hospital and the chosen surgeon i.e. The variable choice = 1 in all these observations. There are at least 10 variables that describe hospital and surgeon characteristics in all the observations. Now I want to create a choice set for each one of the patients. That means adding around 50 observations per patient ID where the patient did not choose the remaining hospital-surgeon pairs in the choice dataset (for the non-chosen alternatives).

The challenge I’m facing is how to create this dataset of 250,000 observations from my dataset. How do I do it in STATA or SAS? I need some advice on some very basic things. This is my first time to do a choice experiment and to use Stata. I already have my raw data in my computer and I need to set it up for multinomial logistic regression.

My choice experiment is about vehicle choice. I have 6 attributes with the following levels (5x3x3x2x2x2) Each respondent has to answer 10 choice sets. Each choice set has 2 alternatives with the opt out option.

This is how I initially set up my data (just an illustration) id choice P1 P2 P3 P4 P5 T1 T2 T3. 1 0 1 0 0 0 0 0 1 0 1 1 0 0 0 1 0 1 0 0 2 1 0 1 0 0 0 0 0 1 2 0 0 0 1 0 0 0 1 0.

P1.P5, T1-T3 are attribute levels So I made a column for each attribute level and made it a dummy variable. Each row is a type of vehicle. If the vehicle possesses a certain attribute level (e.g. Eng2), that variable has value=1, otherwise 0. If respondent chooses an alternative, choice=1, if not =0 If the repondent 'opts out' (e.g.

Ceid 3), both alternatives has 0 value for choice. Am I doing this data setup right? Plus how do I treat the 'opt out optio? Hey Stata man, I would like to clarify my doubts regarding running the DW test on my panel. I have a panel data for bilateral trade of 11 countries disaggregated over 20 sectors. To create the IDs, I simply assumed that each bilateral trade pair for a particular sector is coded as an id.

So I ended up having 200 ids! Is that the correct way to shape my data? When I ran the regressions and when I try to do dwstat, I get r 459. So I am wondering if it is the format of my data that is wrong.

Thanks in advance for your help. Dear Stataman!

I have a panel data on prices that vary across country and time: clear all input id str8 (dates) variable 1 '23/11/08' 2 1 '28/12/08' 3 1 '25/01/09' 4 1 '22/02/09' 5 1 '29/03/09' 6 1 '26/04/09' 32 1 '24/05/09' 23 1 '28/06/09' 32 2 '26/10/08' 45 2 '23/11/08' 46 2 '21/12/08' 90 2 '18/01/09' 54 2 '15/02/09' 65 2 '16/03/09' 77 2 '12/04/09' 7 2 '10/05/09' 6 end As you can see the start and end date of the time series for countries 1 and 2 are different. For example, for country 1 the time series begins on '23/11/08' while for country 2 the time series begins on '”. My data on prices are available every 28 days (or equivalently every 4 weeks). So each observation is a 4-week average. But in some cases I have jumps (35 days or 29 days instead of 28 days). For example from the above table we have the jumps: from '28/12/08' to '28/12/08', from 22/02/09' to '29/03/09', etc My goal is create a unified sequence of dates across countries.

Otherwise I can not do further econometric/data analysis Unless you have different suggestion, I want to take what I have and calculate monthly average prices. SO I want to change the data frequency (via interpolation?) and instead of having 4 week averages or 5 week averages to have monthly averages Please, I would be grateful to you if you could provide some code in order to achieve this thank you for your understanding. HI Stataman, I could really use your suggestion! I am using a data set of 209 countries, i have run a fixed effects regression for non-oecd countries, when i summarize my variables it gives me all variables in data set, i only need variables, summary of onlythose variables that have been used in my fixed effects regression, for instance, when i run fixed effects, number of groups are 138,I beleive stata drops some observations or some countries, so my total obs for a variable should be 138 multiply by 26 years, 1980-2006, which is 3588 observations only, how can i ask stata to generate this? Hi, I could really use your help! I am using a data set of 209 countries, i have run a fixed effects regression for non-oecd countries, when i summarize my variables it gives me all variables in data set, i only need variables, summary of onlythose variables that have been used in my fixed effects regression, for instance, when i run fixed effects, number of groups are 138, believe stata drops some observations, so my total obs for a variable should be 138 multiply by 26 years, 1980-2006, which is 3588 observations only, how can i ask stata to generate this? Hi Stataman, I need your help urgently!

I am dealing with an unbalanced panel data (30 countries and 25 years). My questions: 1. I tested my panel dataset for stationarity with Levin-Lin-Chu test. STATA requires to consider one variable.

I had to consider the dependent variable because it has no gaps. I could not consider any other variable because gaps exist and the software does not run the test when identifies gaps.

Performing the test as described I get a p-value = 0.0014 which I intepret in the sense of rejecting the null hypothesis that is panels contain unit-roots. In other words the test confirms the absence of unit-root which means that the specification in use is stationary/valid. I run LR test for the heteroskedasticity as follows xtgls depvar indepvars, igls panels(heteroskedastic) estimates store hetero xtgls depvar indepvars local df = e(Ng)-1 lrtest hetero., df(`df') The p-value turns out to be 0.0000 which I interpret in the sense of rejecting the null hypothesis this meaning we have heteroskedastcity. I run the Wooldridge test for autocorrelation by using xtserial depvar indepvars and I get a p-value of 0.0000. Here again I reject the null hyopthesis associated to the non-existence of autocorrelation. In other words I have autocorrelation.

My panel then is stationary (which is good!), but has hetersk. And autocorrelation problems. To overtake these problems I think I am right to rely on the results from the estimation (which coul be my final task. Right?) xtgls depvar indepvars, igls panels(heteroskedastic) which gives me Cross-sectional time-series FGLS regression I wonder if I can consider (although teh signs of the coeff.

Are different) xtmixed depvar indepvars all: R.id all: R.year,mle W.r.t. This I would like to know if this command already models while correcting for hetero and autocorr. Or should I consider some option to do this? Thanks in advance. I am working with the UCDP Battle Related Deaths dataset. It has data on conflicts group by warring party, location and year. I am comparing it with another dataset and my unit of analysis is the Country Year.

I want to find a way to break out the warring party observations in UCDP dataset by individual country. Just to clarify. What I am looking for is the total number of Battle Deaths in a Country Year whether the country was on either side of the battle or if the battle took place in that country. The command(using the varnames form the dataset ): total(bdBest) if strpos(SideA, 'Burundi') strpos(SideA2nd, 'Burundi') strpos(SideB, 'Burundi') strpos(SideB2nd, 'Burundi') strpos(Battlelocation, 'Burundi'), over(YEAR) Gives me a table of what I am looking for but of course I would have to do this for every single country and I would like to get the info from that table inserted into the dataset somehow. Hello Stataman - thank you for this great BLOG.

I am using STATA for the first time to analyze some discrete choice experiment data. I can run McFadden's cond logit using the clogit command (with choices grouped into choice sets), but I also want to run a random effects model (I have 200 respondents who each performed the same 13 choice tasks). When I use xtset or xtlogit with 're', STATA treats my data as binary choice- not as choice experiment data. I cannot find the appropriate command for this anywhere. Appreciate your help - Henry. Www.Itcourses-distancelearning.com National institute is the largest leading chain of skill based hands-on line -training providers for Vast Rang of:- v Air Line Ticketing, v Cabin Crew Air Hostess v Safety Officer/Engineer v Seo Search Engine Optimization v spoken English v Hotel management. V Call center training v Web Development v Technical Vocational Training Courses Pakistan and All over the World.

Its Educational Heritage Can Be Traced Since 2007. National Institute has always led the market by introducing latest market driven IT, linguistics and online Courses. National institute is a trusted name in the field of on line education and training having the largest chain of institutions in the on line worldwide. National institute has a large group of happy &satisfied students attaining successes in their future lives & prospects. In my data, I have variables as follows: household ID, ID of persons in household, father ID, years of education, who is the father. So person 3 in house 23 for example might say that person 1 is his or her father, while person 6 and 7 and 8 also in house 23 says that person 9 is their father. This is likely a joint family.

So I can't make a new column eduF in the usual way, since for person 3 and 6/7/8 in the same household, the father is different so the eduF level varies even in the same household. I need however this new column eduF saying, for each member of the family, what is the education level of the person they list to be their father.

I think this requires forvalues or foreach and loops, but am not sure what would be the code! Any help would be SINCERELY appreciated. Problem with Mixlogit or Condition logit implementation of discrete choice experiment with multiple choice scenarios Yesterday, 03:54 Hi! I am new to that statalist forum and Stata but working hard to get used to the software I implementing a discrete choice experiment to model cassava planting material alternative choice.

In my questionnaire, I presented each respondents with 16 choice experiments or choice sets with each choice set having 2 alternatives or choices with an opt-out option. The explanatory variables are the attributes (11 in total) of cassava planting material with varying attribute levels that have randomly fitted between 2 alternative. With this, I am fitting a conditional logit model. In my data set, some explanatory variables are represent by dummy variables while others were categorical variables with up-to 3 categories. Since each choice experiment has 2 alternative options and an opt-out option, each choice set has 11 rows and each respondent was presented with 16 choice sets. Hi stataman Problem with Mixlogit or Condition logit implementation of discrete choice experiment with multiple choice scenarios I implementing a discrete choice experiment to model cassava planting material alternative choice.

In my questionnaire, I presented each respondents with 16 choice experiments or choice sets with each choice set having 2 alternatives or choices with an opt-out option. The explanatory variables are the attributes (11 in total) of cassava planting material with varying attribute levels that have randomly fitted between 2 alternative. With this, I am fitting a conditional logit model. In my data set, some explanatory variables are represent by dummy variables while others were categorical variables with up-to 3 categories. Since each choice experiment has 2 alternative options and an opt-out option, each choice set has 11 rows and each respondent was presented with 16 choice sets. Hello, I am having some troubles running svy logistic.

Would greatly appreciate any help. I am able to run the model no problem using: svy: logistic outcome mode i.agecat gender i.edcat i.incomecat i.prov however, when I add the propensity score to my model, I get the following error: svy: logistic outcome mode i.agecat gender i.edcat i.incomecat i.prov propscore (running logistic on estimation sample) an error occurred when svy executed logistic r(2000); I've looked into this error, and confirmed that all my variables are numeric (not string) and also confirmed that the outcome is coded as 0,1.

Download Lagu Frequency Counts And Histograms In Excel For Mac 2017

This is a question that is often asked. What is the difference between bar graph and histogram and when one should use a bar graph versus histogram? Both the column chart (or bar chart) and histogram are graphical representations of data.

Download Lagu Frequency Counts And Histograms In Excel For Mac Free

But there are differences between them. Column charts or bar charts are used to compare values across different categories. Column charts are most often used to emphasize changes over time or for comparison of items or categories. A histogram, on the other hand, is a type of chart that evaluates frequency data.

A histogram looks at data points and intervals and counts how many times data points fall between specific intervals. In the following image, I have shown you to charts side by side. Just take a closer look at the charts and you will feel the differences easily. So when does one use a histogram and when does one use a column chart – well it all depends on the data analysis that is required.

If one wants to see a specific category/item in comparison to another set of categories/items, one is more than likely, needing to use a column chart. If one is looking at the number of times data points fall within a certain range then use a histogram. What do I mean by the above, well, let’s look at how to create a column chart versus a histogram and the way data is set up for each type of analysis. How to open the data analysis tool pack in Excel 4) Select Histogram. 5) Our input range, in this case, is the recorded cholesterol levels of the 100 stroke patients, which is the range $A$4: $A$104. Our bin range is the range $B$4: $B$11. We tick Labels since we have included the labels.

Under Output options, we select $E$4, on the same worksheet as the output range to make sure our chart is on the same worksheet. We check Chart output as shown below. 6) Click Ok in order to obtain the histogram shown below.

7) We can format the histogram by adding a title, adding a gradient to the chart area and by formatting the horizontal axis to get the following chart output shown below. 8) We can conclude that of the 100 patients who had a stroke, most had cholesterol levels between 161 mg/dL-180 mg/dL since that is the range/interval where most of the data points were recorded. Conclusion There are several key differences between histograms and column charts.

Histograms provide quantitative analysis and the data points are grouped into set intervals, while column charts are used to make comparisons across categories. The way the data is set up will also give a clue as to which option one should use, histograms have the data points in one column and the bin ranges or intervals in the column next to the data points column. Column charts will not have interval ranges in the source data. In the examples above, our charity organization was comparing the attendance for the three different events organized by the charity, hence the reason a column chart was used. In the hospital example, all of the patients had had a stroke and the biochemist was interested in grouping the data or the cholesterol levels into set ranges in order to see the frequencies.

Please feel free to comment, and tell us your thoughts about histograms and column charts. Download The Working File Read More.