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Questions tagged [weighting]

81 questions
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Adding weights to dataftrame after ebalance

I am trying to add weights produced with the entropy balancing reweighting ebal package to a dataframe in order to use them thereafter in regression analysis with balanced samples. The code that that I used for weighting is: #…
user6530195
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Covariate balance after weighting by the inverse of the propensity score

My analysis focuses on causal inference. I am using the inverse of the propensity scores to form weights (Propensity score is the probability of receiving a treatment (or intervention) given a set of covariates). My question is, does anyone know how…
Aura
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Is there a more efficient way to create weights in R?

I am trying to create weights for an analysis based on the number of distinct combinations of variable values in a dataset. I tried using the distinct() and count() functions but the order of the rows is disrupted (same with using rle(). The…
gecko
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Android ImageViews not working correctly when weighted

This piece of XML will correctly display a button which covers the entire row then 2 buttons which are weighted evenly and share 50% of the space like so: __________________________ |________________________| || ButtonA …
Dororo
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Marginal structrual model: how to incorporate time-varying treatment and condition on past treatment

This is my first post in stackoverflow. I've tried to ask the question according to the guidelines. I am currently working on a marginal structural model. I've read most of the articles by Hernan on this topic and worked through his book What if and…
Schulthe
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How do I calculate equal weighted portfolio returns with NA using PerformanceAnalytics?

I am struggling to calculate equal weighted portfolio returns. I am currently using Return.portfolio from the PerformanceAnalytics package and I encounter problems when dealing with NAs. To give a reproduceable example: structure(c(5.49295774647889,…
atairsaw
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anesrake error: "no variables are off by more than ____" when they are

I need to weight the observations in a sample based on the marginal distributions of four demographic characteristics from a broader population. I'm currently using the package anesrake to do so. The population info is stored in targets. This is a…
J.Q
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Include survey weighting variable

I am working with survey data in Python. There is a weighting variable based on age, gender and region which should be included in the calculations (to make the data representative of the population). The weighting variable is a simple decimal…
Florian Seliger
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An alternative to arithmetic mean for scores/ratings

The arithmetic mean or average is easy to implement since it's often integrated as a function in most programming languages. However, it's not really appropriate for ratings as several 5 out of 10s would "drag" down the average whereas a single…
James P.
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Applying a weighting variable to an entire survey dataset in R

I have a large dataset from a survey. I already have a column/variable that is a weight that should be applied to the whole data set. This is simply achieved by in SPSS, but I would like to do this in R as well. What I already know is how to apply…
cam417
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Applying a population total variable in R?

I have a weighting variable that I'd like to apply to my dataset so that I have weighted totals. In SPSS, this is straightforward enough. However, in R, I've been multiplying the variable by the weight variable to create a new variable as shown in…
John Wildman
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Missing levels when weightig (raking) data using ANESRake

I have a survey data set and some quotes: The population quotes are: (1 = up to 29 years 0,00%) 2 = 30 to 39 years 18,10% 3 = 40 to 49 years 28,77% 4 = 50 to 59 years 33,11% 5 = 60 and more years 20,01% In the data set, I have to weight…
Banjo
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Cannot fit function in R

I wanted to make a quick test: Create a function having lots of points. Add some random noise to the data. For every n points, calculate the mean and sd. Display the new ("blocked") data using error bars (which are something like…
user9949797
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Weighting using predict function

I have used 'predict' find a fit line for a linear model(lm) I have created. Because the lm was built on only 2 data points and needs to have a positive slope, I have forced it to go thru the origin (0,0). I have also weighted the function by the…
Lumi
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weighting methodology. 0 sample cell merging

Input DataFrame looks like enter image description here In the above case, i need to write a code saying If we have cell with sample 0, then merge it with immediate above cell, and divide the universe and allot the weight accordingly. Final Weights…
Srikanth Ayithy
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