of Irreproducible Research!
Description of Statistical Computation | |||||||||||||||||||||
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Author's title | |||||||||||||||||||||
Author | *The author of this computation has been verified* | ||||||||||||||||||||
R Software Module | rwasp_Reddy-Moores Data Boxplot V2.0.wasp | ||||||||||||||||||||
Title produced by software | Boxplot and Trimmed Means | ||||||||||||||||||||
Date of computation | Mon, 17 Oct 2011 15:24:32 -0400 | ||||||||||||||||||||
Cite this page as follows | Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/17/t1318879495dwe5ceq58hbjgid.htm/, Retrieved Mon, 03 Jun 2024 20:54:33 +0000 | ||||||||||||||||||||
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=131097, Retrieved Mon, 03 Jun 2024 20:54:33 +0000 | |||||||||||||||||||||
QR Codes: | |||||||||||||||||||||
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Original text written by user: | |||||||||||||||||||||
IsPrivate? | No (this computation is public) | ||||||||||||||||||||
User-defined keywords | |||||||||||||||||||||
Estimated Impact | 89 | ||||||||||||||||||||
Tree of Dependent Computations | |||||||||||||||||||||
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data) | |||||||||||||||||||||
- [Boxplot and Trimmed Means] [boxplot with 5% o...] [2011-10-17 19:22:03] [5ab72825a06ca2a73c828d10c85d14d8] - [Boxplot and Trimmed Means] [boxplot with 5% o...] [2011-10-17 19:24:32] [0489193fb66908b36c67583df692362d] [Current] | |||||||||||||||||||||
Feedback Forum | |||||||||||||||||||||
Post a new message | |||||||||||||||||||||
Dataset | |||||||||||||||||||||
Dataseries X: | |||||||||||||||||||||
'no' 3.00 'no' 4.33 'no' 6.33 'yes' 17.60 'yes' 36.33 'yes' 37.93 'yes' 41.87 'no' 43.67 'no' 44.00 'no' 47.00 'no' 47.00 'no' 47.00 'yes' 47.20 'no' 48.33 'no' 49.00 'no' 49.33 'no' 49.67 'no' 51.00 'no' 51.00 'no' 51.00 'no' 51.00 'yes' 51.53 'yes' 52.33 'no' 52.67 'yes' 52.67 'no' 53.33 'no' 53.67 'no' 53.67 'yes' 53.87 'no' 54.00 'no' 54.00 'yes' 54.20 'no' 54.33 'no' 54.33 'no' 54.67 'no' 54.67 'no' 54.67 'yes' 54.73 'yes' 55.00 'no' 55.00 'no' 55.00 'yes' 55.07 'no' 55.33 'no' 55.33 'no' 55.33 'yes' 55.47 'no' 55.67 'no' 55.67 'yes' 55.93 'no' 56.00 'no' 56.00 'no' 56.00 'yes' 56.20 'yes' 56.33 'no' 56.33 'no' 56.33 'yes' 56.67 'no' 56.67 'no' 56.67 'no' 56.67 'no' 56.67 'no' 57.00 'yes' 57.13 'no' 57.33 'no' 57.33 'yes' 57.47 'yes' 57.47 'yes' 57.67 'no' 57.67 'no' 57.67 'yes' 57.67 'yes' 57.80 'yes' 57.87 'no' 58.00 'no' 58.00 'no' 58.00 'no' 58.00 'no' 58.00 'no' 58.00 'no' 58.00 'no' 58.00 'yes' 58.07 'yes' 58.20 'yes' 58.27 'yes' 58.27 'no' 58.33 'yes' 58.33 'no' 58.33 'yes' 58.40 'no' 58.67 'no' 58.67 'no' 58.67 'no' 58.67 'no' 58.67 'no' 58.67 'no' 58.67 'yes' 58.80 'yes' 58.80 'yes' 58.93 'no' 59.00 'no' 59.00 'yes' 59.00 'yes' 59.13 'yes' 59.13 'no' 59.33 'no' 59.33 'no' 59.33 'no' 59.33 'no' 59.33 'yes' 59.40 'yes' 59.47 'yes' 59.53 'yes' 59.53 'yes' 59.53 'yes' 59.60 'no' 59.67 'yes' 59.67 'yes' 59.67 'no' 59.67 'no' 59.67 'no' 59.67 'no' 59.67 'no' 59.67 'yes' 59.73 'yes' 59.73 'yes' 59.73 'yes' 59.80 'yes' 59.80 'yes' 59.87 'no' 60.00 'no' 60.00 'no' 60.00 'no' 60.00 'no' 60.00 'no' 60.00 'no' 60.00 'no' 60.00 'no' 60.00 'yes' 60.13 'yes' 60.13 'yes' 60.13 'no' 60.33 'no' 60.33 'no' 60.33 'no' 60.33 'no' 60.33 'no' 60.33 'yes' 60.33 'yes' 60.40 'yes' 60.47 'no' 60.67 'no' 60.67 'no' 60.67 'no' 60.67 'no' 60.67 'yes' 60.73 'yes' 60.80 'yes' 60.87 'no' 61.00 'no' 61.00 'yes' 61.00 'no' 61.00 'no' 61.00 'yes' 61.00 'no' 61.00 'no' 61.00 'yes' 61.27 'yes' 61.27 'yes' 61.33 'no' 61.33 'no' 61.33 'no' 61.33 'no' 61.33 'no' 61.33 'no' 61.33 'no' 61.33 'yes' 61.40 'yes' 61.40 'yes' 61.47 'yes' 61.47 'yes' 61.60 'yes' 61.60 'yes' 61.60 'no' 61.67 'no' 61.67 'no' 61.67 'no' 61.67 'no' 61.67 'no' 61.67 'no' 61.67 'no' 61.67 'yes' 61.67 'yes' 61.80 'yes' 61.87 'yes' 61.93 'yes' 61.93 'yes' 61.93 'no' 62.00 'no' 62.00 'no' 62.00 'no' 62.00 'yes' 62.00 'no' 62.00 'no' 62.00 'yes' 62.13 'yes' 62.20 'no' 62.33 'no' 62.33 'no' 62.33 'no' 62.33 'yes' 62.40 'yes' 62.40 'yes' 62.40 'yes' 62.40 'yes' 62.40 'yes' 62.53 'yes' 62.60 'yes' 62.60 'yes' 62.60 'yes' 62.60 'no' 62.67 'yes' 62.67 'yes' 62.67 'yes' 62.80 'yes' 62.80 'yes' 62.80 'yes' 62.87 'yes' 62.87 'yes' 62.93 'yes' 62.93 'no' 63.00 'no' 63.00 'yes' 63.00 'no' 63.00 'yes' 63.00 'yes' 63.07 'yes' 63.13 'yes' 63.20 'yes' 63.27 'no' 63.33 'yes' 63.33 'no' 63.33 'yes' 63.33 'no' 63.33 'no' 63.33 'no' 63.33 'yes' 63.47 'yes' 63.53 'yes' 63.53 'yes' 63.53 'yes' 63.60 'no' 63.67 'no' 63.67 'no' 63.67 'yes' 63.67 'no' 63.67 'no' 63.67 'no' 63.67 'no' 63.67 'yes' 63.67 'no' 63.67 'yes' 63.67 'no' 63.67 'yes' 63.73 'yes' 63.73 'yes' 63.73 'yes' 63.87 'no' 64.00 'no' 64.00 'no' 64.00 'no' 64.00 'yes' 64.00 'no' 64.00 'no' 64.00 'no' 64.00 'no' 64.00 'yes' 64.07 'yes' 64.07 'yes' 64.07 'yes' 64.13 'yes' 64.20 'yes' 64.20 'yes' 64.27 'yes' 64.27 'no' 64.33 'no' 64.33 'yes' 64.40 'yes' 64.47 'yes' 64.60 'yes' 64.60 'yes' 64.67 'yes' 64.67 'yes' 64.67 'yes' 64.67 'yes' 64.67 'no' 64.67 'no' 64.67 'yes' 64.67 'yes' 64.67 'no' 64.67 'no' 64.67 'yes' 64.67 'yes' 64.73 'yes' 64.80 'yes' 64.87 'yes' 65.00 'no' 65.00 'no' 65.00 'yes' 65.00 'no' 65.00 'yes' 65.07 'yes' 65.07 'yes' 65.20 'no' 65.33 'no' 65.33 'yes' 65.47 'yes' 65.47 'yes' 65.60 'no' 65.67 'no' 65.67 'no' 65.67 'no' 65.67 'no' 65.67 'yes' 65.67 'yes' 65.67 'yes' 65.80 'yes' 65.80 'yes' 65.80 'yes' 65.93 'no' 66.00 'yes' 66.00 'yes' 66.00 'yes' 66.00 'yes' 66.00 'no' 66.00 'no' 66.00 'yes' 66.00 'yes' 66.00 'no' 66.00 'yes' 66.00 'yes' 66.07 'yes' 66.20 'yes' 66.20 'yes' 66.27 'yes' 66.27 'no' 66.33 'no' 66.33 'yes' 66.47 'yes' 66.53 'yes' 66.53 'yes' 66.53 'yes' 66.60 'no' 66.67 'no' 66.67 'no' 66.67 'no' 66.67 'yes' 66.73 'yes' 66.73 'yes' 66.73 'yes' 66.73 'yes' 66.80 'yes' 66.87 'yes' 66.93 'yes' 67.07 'yes' 67.13 'yes' 67.33 'no' 67.33 'yes' 67.47 'yes' 67.47 'yes' 67.53 'yes' 67.60 'yes' 67.60 'no' 67.67 'yes' 67.80 'no' 68.00 'yes' 68.07 'yes' 68.60 'yes' 68.67 'no' 68.67 'yes' 68.67 'yes' 68.73 'yes' 68.80 'yes' 68.80 'yes' 68.87 'no' 69.00 'yes' 69.53 'yes' 69.60 'yes' 69.60 'yes' 69.87 'yes' 69.93 'no' 70.00 'yes' 70.07 'yes' 70.07 'no' 70.33 'yes' 70.47 'yes' 70.67 'yes' 70.67 'yes' 70.73 'yes' 70.73 'yes' 70.73 'yes' 70.73 'yes' 70.80 'yes' 70.80 'yes' 71.07 'no' 71.33 'yes' 71.47 'yes' 71.53 'yes' 71.67 'yes' 71.67 'yes' 72.07 'yes' 72.73 'yes' 72.73 'yes' 72.87 'yes' 73.00 | |||||||||||||||||||||
Tables (Output of Computation) | |||||||||||||||||||||
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Figures (Output of Computation) | |||||||||||||||||||||
Input Parameters & R Code | |||||||||||||||||||||
Parameters (Session): | |||||||||||||||||||||
par2 = TRUE ; par3 = 5 ; | |||||||||||||||||||||
Parameters (R input): | |||||||||||||||||||||
par1 = ; par2 = TRUE ; par3 = 5 ; par4 = ; par5 = ; | |||||||||||||||||||||
R code (references can be found in the software module): | |||||||||||||||||||||
par1 <- as.numeric(par1) # colour |