"R"의 두 판 사이의 차이
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(새 문서: ==Functions== * {{c|is.na}} {{break}} ==percentile== > quantile(duration, c(.32, .57, .98)) 32% 57% 98% 2.3952 4.1330 4.9330 {{break}} ==CDF== empirical cdf : {{c|ecdf...) |
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| 1번째 줄: | 1번째 줄: | ||
==Functions== | ==Functions== | ||
* {{c|is.na}} | * {{c|is.na}} | ||
| − | |||
==percentile== | ==percentile== | ||
| 7번째 줄: | 6번째 줄: | ||
32% 57% 98% | 32% 57% 98% | ||
2.3952 4.1330 4.9330 | 2.3952 4.1330 4.9330 | ||
| − | |||
==CDF== | ==CDF== | ||
| 14번째 줄: | 12번째 줄: | ||
https://www.r-bloggers.com/exploratory-data-analysis-2-ways-of-plotting-empirical-cumulative-distribution-functions-in-r/ | https://www.r-bloggers.com/exploratory-data-analysis-2-ways-of-plotting-empirical-cumulative-distribution-functions-in-r/ | ||
https://onlinecourses.science.psu.edu/stat464/node/84 | https://onlinecourses.science.psu.edu/stat464/node/84 | ||
| − | |||
==factor to numeric== | ==factor to numeric== | ||
| 21번째 줄: | 18번째 줄: | ||
as.numeric(as.matrix( data )) | as.numeric(as.matrix( data )) | ||
http://stackoverflow.com/questions/24187629/how-to-convert-factor-to-float-without-losing-precision-in-r | http://stackoverflow.com/questions/24187629/how-to-convert-factor-to-float-without-losing-precision-in-r | ||
| − | |||
2017년 4월 20일 (목) 14:04 판
Functions
- is.na
percentile
> quantile(duration, c(.32, .57, .98)) 32% 57% 98% 2.3952 4.1330 4.9330
CDF
empirical cdf : ecdf
plot(ecdf(data))
https://www.r-bloggers.com/exploratory-data-analysis-2-ways-of-plotting-empirical-cumulative-distribution-functions-in-r/ https://onlinecourses.science.psu.edu/stat464/node/84
factor to numeric
as.numeric(as.character( data ))
or
as.numeric(as.matrix( data ))