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DIDIER RUEDIN
Didier Ruedin is a senior researcher at the Swiss Forum for Migration and Population Studies at the University of Neuchâtel.. I use experiments and quantitative analysis to understand social inequalities and exclusion as a consequence of migration.My research examines discrimination in the labour and housing market, attitudes to foreigners, and political reactions in policies and politicalPUBLICATIONS
Peer Reviewed Articles Bitschnau, Marco, Leslie Ader, Didier Ruedin, and Gianni D’Amato. 2021. “Politicising Immigration in Times of Crisis: Empirical Evidence from Switzerland.” Journal of Ethnic and Migration Studies. Forthcoming. doi: 10.1080/1369183X.2021.1936471. We look at the politicisation of immigration in Switzerland during the oil crisis of the 1970s and the financial crisis HOW TO ADD TEXT LABELS TO A SCATTER PLOT IN R? Adding text labels to a scatter plot in R is easy. The basic function is text(), and here's a reproducible example how you can use it to create these plots: Adding text to a scatter plot in R For the example, I'm creating random data. Since the data are random, your plots will look different. GETTING STARTED WITH BAYESIAN IN R There really is no excuse any more: getting started with Bayesian regression analysis in R is really simple. Step 1: install rstanarm from CRAN Step 2: replace lm() with stan_glm() in your code Sure, you'll probably want to learn about priors, and invest a little in understanding diagnostics such as those provided by ShinyStan. But PREDICTED PROBABILITIES IN R Finally we can get the predictions: predict (m, newdata, type="response") That’s our model m and newdata we’ve just specified. type="response" calculates the predicted probabilities. We get. 1 2 0.3551121 0.6362611. So 36% for the person aged 20, and 64% for the person aged 60. Often, however, a picture will be more useful. HOW TO RUN A REGRESSION ON A SUBSET IN R Sometimes we need to run a regression analysis on a subset or sub-sample. That’s quite simple to do in R. All we need is the subset command. Let’s look at a linear regression: lm (y ~ x + z, data=myData) Rather than run the regression on all of the data, let’s do it for only women, or only people with a certain characteristic: lm (y ~ xDOUBLE SAPPLY()
With the R command sapply() we can easily apply a function many times. Here I simply want to highlight that sapply() can be used within sapply(): it can be nested. First, a simple application: I have several countries in a dataset, and want to generate a table for each of them. sapply(c("AT", "DE", "CH"), function(x) RINAS EXPRESS: TAKING THE BUS TO TIRANA’S AIRPORT It is possible to take a bus to Tirana’s airport, but unfortunately the service hasn’t got a web presence. The bus service is called Rinas Express, and operates every day between 7:00 and 19:00. It leaves on the hour every hour, both from the airport and from the town centre. It costs 250 Lek for a ride, which takes around 25 to 30minutes.
HOW TO CALCULATE THE MODE IN R This is something I keep looking up, because for whatever reason R does not come with a built-in function to calculate the mode. (The mode() function does something else, not what I’d expect given that there are mean() and median())It’s quite easy to write a IS PSPP A REPLACEMENT FOR SPSS? PSPP is sometimes touted as a replacement for SPSS (including by its creators).Well, it isn’t (this is often the case with open source alternatives; the ambition and reality do not quite match).By stating plainly that PSPP is not a replacement for SPSS, I don’t mean to dismiss PSPP. First off, PSPP is under active development, and getting hold of the latest version can be a bit difficult.DIDIER RUEDIN
Didier Ruedin is a senior researcher at the Swiss Forum for Migration and Population Studies at the University of Neuchâtel.. I use experiments and quantitative analysis to understand social inequalities and exclusion as a consequence of migration.My research examines discrimination in the labour and housing market, attitudes to foreigners, and political reactions in policies and politicalPUBLICATIONS
Peer Reviewed Articles Bitschnau, Marco, Leslie Ader, Didier Ruedin, and Gianni D’Amato. 2021. “Politicising Immigration in Times of Crisis: Empirical Evidence from Switzerland.” Journal of Ethnic and Migration Studies. Forthcoming. doi: 10.1080/1369183X.2021.1936471. We look at the politicisation of immigration in Switzerland during the oil crisis of the 1970s and the financial crisis HOW TO ADD TEXT LABELS TO A SCATTER PLOT IN R? Adding text labels to a scatter plot in R is easy. The basic function is text(), and here's a reproducible example how you can use it to create these plots: Adding text to a scatter plot in R For the example, I'm creating random data. Since the data are random, your plots will look different. GETTING STARTED WITH BAYESIAN IN R There really is no excuse any more: getting started with Bayesian regression analysis in R is really simple. Step 1: install rstanarm from CRAN Step 2: replace lm() with stan_glm() in your code Sure, you'll probably want to learn about priors, and invest a little in understanding diagnostics such as those provided by ShinyStan. But PREDICTED PROBABILITIES IN R Finally we can get the predictions: predict (m, newdata, type="response") That’s our model m and newdata we’ve just specified. type="response" calculates the predicted probabilities. We get. 1 2 0.3551121 0.6362611. So 36% for the person aged 20, and 64% for the person aged 60. Often, however, a picture will be more useful. HOW TO RUN A REGRESSION ON A SUBSET IN R Sometimes we need to run a regression analysis on a subset or sub-sample. That’s quite simple to do in R. All we need is the subset command. Let’s look at a linear regression: lm (y ~ x + z, data=myData) Rather than run the regression on all of the data, let’s do it for only women, or only people with a certain characteristic: lm (y ~ xDOUBLE SAPPLY()
With the R command sapply() we can easily apply a function many times. Here I simply want to highlight that sapply() can be used within sapply(): it can be nested. First, a simple application: I have several countries in a dataset, and want to generate a table for each of them. sapply(c("AT", "DE", "CH"), function(x) RINAS EXPRESS: TAKING THE BUS TO TIRANA’S AIRPORT It is possible to take a bus to Tirana’s airport, but unfortunately the service hasn’t got a web presence. The bus service is called Rinas Express, and operates every day between 7:00 and 19:00. It leaves on the hour every hour, both from the airport and from the town centre. It costs 250 Lek for a ride, which takes around 25 to 30minutes.
HOW TO CALCULATE THE MODE IN R This is something I keep looking up, because for whatever reason R does not come with a built-in function to calculate the mode. (The mode() function does something else, not what I’d expect given that there are mean() and median())It’s quite easy to write a IS PSPP A REPLACEMENT FOR SPSS? PSPP is sometimes touted as a replacement for SPSS (including by its creators).Well, it isn’t (this is often the case with open source alternatives; the ambition and reality do not quite match).By stating plainly that PSPP is not a replacement for SPSS, I don’t mean to dismiss PSPP. First off, PSPP is under active development, and getting hold of the latest version can be a bit difficult.PUBLICATIONS
Peer Reviewed Articles Bitschnau, Marco, Leslie Ader, Didier Ruedin, and Gianni D’Amato. 2021. “Politicising Immigration in Times of Crisis: Empirical Evidence from Switzerland.” Journal of Ethnic and Migration Studies. Forthcoming. doi: 10.1080/1369183X.2021.1936471. We look at the politicisation of immigration in Switzerland during the oil crisis of the 1970s and the financial crisis THE PRIO GUIDE TO MIGRATION JOURNALS This deserves more attention that ‘just’ a tweet! The PRIO guide to migration journals is now live: It’s a guide of 29 migration journals you might want to consult once in a while GETTING STARTED WITH BAYESIAN IN R There really is no excuse any more: getting started with Bayesian regression analysis in R is really simple. Step 1: install rstanarm from CRAN Step 2: replace lm() with stan_glm() in your code Sure, you'll probably want to learn about priors, and invest a little in understanding diagnostics such as those provided by ShinyStan. But HOW TO BLIND YOUR MANUSCRIPT How to blind your manuscript. I come across this ever so often when doing a review, and there are even journal guidelines giving bad advice on how to blind a manuscript for double-blind peer review. A good guide can be found here at Oxford Univeristiy Press. What THE SOCIOLOGY OF MIGRATION IN SWITZERLAND: PAST, PRESENT The editorial to our special issue is now available on Sciendo! The introduction to the special issue reflects on the knowledge production in the sociology of migration. We emphasise the continuous and changing challenges of knowledge production in the sociology of migration, taking a historical perspective to outline how contemporary contributions are a development ofDOUBLE SAPPLY()
With the R command sapply() we can easily apply a function many times. Here I simply want to highlight that sapply() can be used within sapply(): it can be nested. First, a simple application: I have several countries in a dataset, and want to generate a table for each of them. sapply(c("AT", "DE", "CH"), function(x) HOW TO CALCULATE THE MODE IN R This is something I keep looking up, because for whatever reason R does not come with a built-in function to calculate the mode. (The mode() function does something else, not what I’d expect given that there are mean() and median())It’s quite easy to write a short function to calculate the mode in R: WHAT IS A MAÎTRE D’ENSEIGNEMENT ET DE RECHERCHE (MER Maître d’enseignement et de recherche (MER) are relatively rare positions which were apparently introduced in universities in the French-speaking area of Switzerland in the 1990s. MER are part of the corps intermédiaire (German: Mittelbau) along with PhD researchers and postdoctoral researchers. They are very similar to the Maître-assistante (MA) positions, also unique to French MOVING AVERAGES IN R Moving Averages in R. To the best of my knowledge, R does not have a built-in function to calculate moving averages. Using the filter function, however, we can write a short function for moving averages:mav
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