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Author's title

Author*The author of this computation has been verified*
R Software ModuleIan.Hollidayrwasp_Tests to Compare Two Means.wasp
Title produced by softwareAston University Statistical Software
Date of computationTue, 24 Nov 2009 08:58:58 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/24/t1259078385yi29ogm1ghtv426.htm/, Retrieved Sun, 21 Jul 2024 10:59:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=59136, Retrieved Sun, 21 Jul 2024 10:59:44 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact142
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Aston University Statistical Software] [Morning Sickness ...] [2009-11-16 16:26:06] [74be16979710d4c4e7c6647856088456]
- R     [Aston University Statistical Software] [Morning Sickness ...] [2009-11-16 17:22:16] [74be16979710d4c4e7c6647856088456]
- R P       [Aston University Statistical Software] [] [2009-11-24 15:58:58] [3011a93587a9e2726436e943c7460ff1] [Current]
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Dataseries X:
68.95	70.18
70.84	69.94
70.26	69.61
70.93	71.39
70.71	72.54
70.73	70.48
70.20	70.48
69.76	71.68
71.46	70.59
70.31	71.61
69.24	70.56
70.94	72.74
68.98	72.63
71.16	71.58
69.96	70.14
69.66	71.22
70.20	70.72
69.99	71.37
71.97	69.73
68.29	71.29
67.67	73.19
70.07	70.64
70.89	69.30
69.66	71.76
71.12	70.28
70.60	69.77
70.09	70.37
70.55	71.70
71.63	70.85
69.30	71.07




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=59136&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=59136&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=59136&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135



Parameters (Session):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = unpaired ; par6 = 0.0 ; par7 = .95 ; par8 = TRUE ;
Parameters (R input):
par1 = two.sided ; par2 = 1 ; par3 = 2 ; par4 = T-Test ; par5 = unpaired ; par6 = 0.0 ; par7 = .95 ; par8 = TRUE ;
R code (references can be found in the software module):
par2 <- as.numeric#par2#
par3 <- as.numeric#par3#
par4 <- as.character#par4#
par5 <- as.character#par5#
par6 <- as.numeric#par6#
par7 <- as.numeric#par7#
par8 <- as.logical#par8#
if # par5 ## 'unpaired'# paired <- FALSE else paired <- TRUE
x <- t#y#
if#par8#{
bitmap#file#'test1.png'#
dev.off##
}
load#file#'createtable'#
if# par4 ## 'Wilcoxon-Mann_Whitney'#{
a<-table.start##
a <- table.row.start#a#
a <- table.element#a,'Wilcoxon Test',3,TRUE#
a <- table.row.end#a#
a <- table.row.start#a#
a <- table.element#a,'',1,TRUE#
a <- table.element#a,'Statistic',1,TRUE#
a <- table.element#a,'P-value',1,TRUE#
a <- table.row.end#a#
W <- wilcox.test#x[,par2],x[,par3],alternative#par1, paired # paired#
a<-table.row.start#a#
a<-table.element#a,'Wilcoxon Test',1,TRUE#
a<-table.element#a,W$statistic[[1]]#
a<-table.element#a,round#W$p.value, digits#5# #
a<-table.row.end#a#
a<-table.end#a#
table.save#a,file#'mytable.tab'#
}
if# par4 ## 'T-Test'#
{
T <- t.test#x[,par2],x[,par3],alternative#par1, paired#paired, mu#par6, conf.level#par7#
a<-table.start##
a <- table.row.start#a#
a <- table.element#a,'T-Test',3,TRUE#
a <- table.row.end#a#
if#paired#{
a <- table.row.start#a#
a <- table.element#a,'Difference: Mean1 - Mean2',1,TRUE#
a<-table.element#a,round#T$estimate, digits#5# #
a <- table.row.end#a#
}
if#!paired#{
a <- table.row.start#a#
a <- table.element#a,'Mean1',1,TRUE#
a<-table.element#a,round#T$estimate[1], digits#5# #
a <- table.row.end#a#
a <- table.row.start#a#
a <- table.element#a,'Mean2',1,TRUE#
a<-table.element#a,round#T$estimate[2], digits#5# #
a <- table.row.end#a#
}
a <- table.row.start#a#
a <- table.element#a,'T Statistic',1,TRUE#
a<-table.element#a,round#T$statistic, digits#5# #
a <- table.row.end#a#
a <- table.row.start#a#
a <- table.element#a,'P-value',1,TRUE#
a<-table.element#a,round#T$p.value, digits#5# #
a <- table.row.end#a#
a <- table.row.start#a#
a <- table.element#a,'Lower Confidence Limit',1,TRUE#
a<-table.element#a,round#T$conf.int[1], digits#5# #
a <- table.row.end#a#
a<-table.row.start#a#
a <- table.element#a,'Upper Confidence Limit',1,TRUE#
a<-table.element#a,round#T$conf.int[2], digits#5# #
a <- table.row.end#a#
a<-table.end#a#
table.save#a,file#'mytable.tab'#
}
a<-table.start##
a <- table.row.start#a#
a <- table.element#a,'Standard Deviations',3,TRUE#
a <- table.row.end#a#
a <- table.row.start#a#
a <- table.element#a,'Variable 1',1,TRUE#
a<-table.element#a,round#sd#x[,par2]#, digits#5# #
a <- table.row.end#a#
a <- table.row.start#a#
a <- table.element#a,'Variable 2',1,TRUE#
a<-table.element#a,round#sd#x[,par3]#, digits#5# #
a <- table.row.end#a#
a<-table.end#a#
table.save#a,file#'mytable1.tab'#