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How to remove outliers from a dataset
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x<-quantile(retentiondata$sum_dec_incr,c(0.01,0.99))
data_clean <- data[data$attribute >=x[1] & data$attribute<=x[2],]
I find this very easy to remove outliers. In the above example I am just extracting 2 percentile to 98 percentile of attribute values.
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Android set height and width of Custom view programmatically
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DalmasDalmas
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How does strtok() split the string into tokens in C?
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How do I change read/write mode for a file using Emacs?
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Suppressing “warning CS4014: Because this call is not awaited, execution of the current method conti
...mply things are often the right things, go for discards! And I quote @fjch1997 answer: It's stupid to create a method that takes a few more ticks to execute, just for the purpose of suppressing a warning.
– Teejay
Jun 15 '18 at 12:41
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Recursion or Iteration?
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Meng-Yuan Huang
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answered Sep 16 '08 at 14:11
Leigh CaldwellLeigh Caldwell
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Is there a literal notation for an array of symbols?
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Best way to create an empty map in Java
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basszerobasszero
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Can I use a :before or :after pseudo-element on an input field?
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How to convert a PNG image to a SVG? [closed]
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