# reisner

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 Aug17 awarded Popular Question Jul15 accepted Can I use kernel density estimation when I only have histogram data, not the raw values? Jul12 comment Can I use kernel density estimation when I only have histogram data, not the raw values? Thanks for the clarification. I can get something reasonable by assuming the points are generated uniformly within each bin, generating these points (since I have the original n), and then passing this data to the density() function. I'm not sure if this is better than just smoothing the histograms by using splines or some other approach. Jul11 asked Can I use kernel density estimation when I only have histogram data, not the raw values? Mar14 awarded Popular Question Jun11 comment Fitting logistic to small number of points in R Well, it's more like a square peg into a muddy square hole. Measurements are not always perfect :) - Anyways, thanks for your help. Jun11 accepted Fitting logistic to small number of points in R Jun11 comment Fitting logistic to small number of points in R Thank you. Is there anything I can do for that other data set? Jun11 comment Fitting logistic to small number of points in R Thank you for that! How does that work if Asym, xmid and scal havent been defined? Also, it fixed it for that case, but for some other (more messy) data it fails. For example, x = c(118,130,142, 62,74,86), and y=c(19.7662,16.6663,14.1713,17.5192,13.4772,16.7067) Jun11 asked Fitting logistic to small number of points in R Apr13 comment How to obtain decision boundaries from linear SVM in R? Thanks, but my question is about how I get the w and b values. Also, about the decision value, I'm asking how e1071 decides which given label is positive and negative for the training data when you pass it factors. Apr11 awarded Editor Apr11 revised How to obtain decision boundaries from linear SVM in R? added 3 characters in body Apr11 asked How to obtain decision boundaries from linear SVM in R? Jul8 comment Data imputation question I dont understand what you're asking. Previous valilable value? Jul8 answered Data imputation question Jul5 comment How to combine three different scores Do you have the toxicity numbers (true values)? If so, why arent you simply doing a regression? If not, how are you able to rank within each group? Jun30 awarded Scholar Jun30 awarded Supporter Jun30 accepted Constrained linear regression through a specified point