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On April 21, 2023 4:08:08 AM GMT+09:00, Dr Eberhard W Lisse <nos...@lisse.na>
wrote:
>There is at least one outliers package on CRAN.
>
>el
>On 20/04/2023 20:43, AbouEl-Makarim Aboueissa wrote:
>> Dear All: *please discard my previous email*
>>
>>
>>
>> *Re:* detect and replace outliers by the average
>>
>>
>>
>> The dataset, please see attached, contains a group factoring column “
>> *factor*” and two columns of data “x1” and “x2” with some NA values. I need
>> some help to detect the outliers and replace it and the NAs with the
>> average within each level (0,1,2) for each variable “x1” and “x2”.
>>
>>
>>
>> I tried the below code, but it did not accomplish what I want to do.
>>
>>
>>
>>
>>
>> data<-read.csv("G:/20-Spring_2023/Outliers/data.csv", header=TRUE)
>>
>> data
>>
>> replace_outlier_with_mean <- function(x) {
>>
>> replace(x, x %in% boxplot.stats(x)$out, mean(x, na.rm=TRUE)) #### ,
>> na.rm=TRUE NOT working
>>
>> }
>>
>> data[] <- lapply(data, replace_outlier_with_mean)
>>
>>
>>
>>
>>
>> Thank you all very much for your help in advance.
>>
>>
>>
>>
>>
>> with many thanks
>>
>> abou
>>
>>
>> ______________________
>>
>>
>> *AbouEl-Makarim Aboueissa, PhD*
>>
>> *Professor, Mathematics and Statistics*
>> *Graduate Coordinator*
>>
>> *Department of Mathematics and Statistics*
>> *University of Southern Maine*
>
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--
Sent from my phone. Please excuse my brevity.
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