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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 15 Nov 2012 08:47:58 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/15/t1352987298136ne5979ykus4x.htm/, Retrieved Thu, 02 May 2024 07:46:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=189653, Retrieved Thu, 02 May 2024 07:46:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact61
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2012-10-08 13:15:28] [34b8bbf46ccf1f2aafb8431f8613d208]
- R PD  [Histogram] [] [2012-11-15 13:46:03] [34b8bbf46ccf1f2aafb8431f8613d208]
-   P       [Histogram] [] [2012-11-15 13:47:58] [595720b70ea55335b8ff0acbeccfc0bf] [Current]
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Dataseries X:
32.98
32.7
32.74
32.87
32.95
32.94
32.94
32.97
32.87
32.96
32.97
32.99
32.99
33.04
33.23
33.03
33.05
33.03
33.04
33.11
33.14
33.08
33.09
33.07
33.07
33.02
33
33.08
33.35
33.36
33.36
33.35
33.41
33.47
33.47
33.48
33.48
33.55
33.68
33.72
33.79
33.83
33.83
33.84
33.91
34.06
34.16
34.16
34.16
34.29
34.48
34.48
34.39
34.29
34.29
34.25
34.2
34.1
34.09
34.06
34.06
34.04
34.19
34.21
34.17
34.08
34.08
34.08
34.3
34.28
34.45
34.41




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

\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' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189653&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189653&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189653&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' @ jenkins.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[32.7,32.75[32.72520.0277780.0277780.555556
[32.75,32.8[32.775000.0277780
[32.8,32.85[32.825000.0277780
[32.85,32.9[32.87520.0277780.0555560.555556
[32.9,32.95[32.92520.0277780.0833330.555556
[32.95,33[32.97570.0972220.1805561.944444
[33,33.05[33.02560.0833330.2638891.666667
[33.05,33.1[33.07560.0833330.3472221.666667
[33.1,33.15[33.12520.0277780.3750.555556
[33.15,33.2[33.175000.3750
[33.2,33.25[33.22510.0138890.3888890.277778
[33.25,33.3[33.275000.3888890
[33.3,33.35[33.325000.3888890
[33.35,33.4[33.37540.0555560.4444441.111111
[33.4,33.45[33.42510.0138890.4583330.277778
[33.45,33.5[33.47540.0555560.5138891.111111
[33.5,33.55[33.525000.5138890
[33.55,33.6[33.57510.0138890.5277780.277778
[33.6,33.65[33.625000.5277780
[33.65,33.7[33.67510.0138890.5416670.277778
[33.7,33.75[33.72510.0138890.5555560.277778
[33.75,33.8[33.77510.0138890.5694440.277778
[33.8,33.85[33.82530.0416670.6111110.833333
[33.85,33.9[33.875000.6111110
[33.9,33.95[33.92510.0138890.6250.277778
[33.95,34[33.975000.6250
[34,34.05[34.02510.0138890.6388890.277778
[34.05,34.1[34.07570.0972220.7361111.944444
[34.1,34.15[34.12510.0138890.750.277778
[34.15,34.2[34.17550.0694440.8194441.388889
[34.2,34.25[34.22520.0277780.8472220.555556
[34.25,34.3[34.27550.0694440.9166671.388889
[34.3,34.35[34.32510.0138890.9305560.277778
[34.35,34.4[34.37510.0138890.9444440.277778
[34.4,34.45[34.42510.0138890.9583330.277778
[34.45,34.5]34.47530.04166710.833333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[32.7,32.75[ & 32.725 & 2 & 0.027778 & 0.027778 & 0.555556 \tabularnewline
[32.75,32.8[ & 32.775 & 0 & 0 & 0.027778 & 0 \tabularnewline
[32.8,32.85[ & 32.825 & 0 & 0 & 0.027778 & 0 \tabularnewline
[32.85,32.9[ & 32.875 & 2 & 0.027778 & 0.055556 & 0.555556 \tabularnewline
[32.9,32.95[ & 32.925 & 2 & 0.027778 & 0.083333 & 0.555556 \tabularnewline
[32.95,33[ & 32.975 & 7 & 0.097222 & 0.180556 & 1.944444 \tabularnewline
[33,33.05[ & 33.025 & 6 & 0.083333 & 0.263889 & 1.666667 \tabularnewline
[33.05,33.1[ & 33.075 & 6 & 0.083333 & 0.347222 & 1.666667 \tabularnewline
[33.1,33.15[ & 33.125 & 2 & 0.027778 & 0.375 & 0.555556 \tabularnewline
[33.15,33.2[ & 33.175 & 0 & 0 & 0.375 & 0 \tabularnewline
[33.2,33.25[ & 33.225 & 1 & 0.013889 & 0.388889 & 0.277778 \tabularnewline
[33.25,33.3[ & 33.275 & 0 & 0 & 0.388889 & 0 \tabularnewline
[33.3,33.35[ & 33.325 & 0 & 0 & 0.388889 & 0 \tabularnewline
[33.35,33.4[ & 33.375 & 4 & 0.055556 & 0.444444 & 1.111111 \tabularnewline
[33.4,33.45[ & 33.425 & 1 & 0.013889 & 0.458333 & 0.277778 \tabularnewline
[33.45,33.5[ & 33.475 & 4 & 0.055556 & 0.513889 & 1.111111 \tabularnewline
[33.5,33.55[ & 33.525 & 0 & 0 & 0.513889 & 0 \tabularnewline
[33.55,33.6[ & 33.575 & 1 & 0.013889 & 0.527778 & 0.277778 \tabularnewline
[33.6,33.65[ & 33.625 & 0 & 0 & 0.527778 & 0 \tabularnewline
[33.65,33.7[ & 33.675 & 1 & 0.013889 & 0.541667 & 0.277778 \tabularnewline
[33.7,33.75[ & 33.725 & 1 & 0.013889 & 0.555556 & 0.277778 \tabularnewline
[33.75,33.8[ & 33.775 & 1 & 0.013889 & 0.569444 & 0.277778 \tabularnewline
[33.8,33.85[ & 33.825 & 3 & 0.041667 & 0.611111 & 0.833333 \tabularnewline
[33.85,33.9[ & 33.875 & 0 & 0 & 0.611111 & 0 \tabularnewline
[33.9,33.95[ & 33.925 & 1 & 0.013889 & 0.625 & 0.277778 \tabularnewline
[33.95,34[ & 33.975 & 0 & 0 & 0.625 & 0 \tabularnewline
[34,34.05[ & 34.025 & 1 & 0.013889 & 0.638889 & 0.277778 \tabularnewline
[34.05,34.1[ & 34.075 & 7 & 0.097222 & 0.736111 & 1.944444 \tabularnewline
[34.1,34.15[ & 34.125 & 1 & 0.013889 & 0.75 & 0.277778 \tabularnewline
[34.15,34.2[ & 34.175 & 5 & 0.069444 & 0.819444 & 1.388889 \tabularnewline
[34.2,34.25[ & 34.225 & 2 & 0.027778 & 0.847222 & 0.555556 \tabularnewline
[34.25,34.3[ & 34.275 & 5 & 0.069444 & 0.916667 & 1.388889 \tabularnewline
[34.3,34.35[ & 34.325 & 1 & 0.013889 & 0.930556 & 0.277778 \tabularnewline
[34.35,34.4[ & 34.375 & 1 & 0.013889 & 0.944444 & 0.277778 \tabularnewline
[34.4,34.45[ & 34.425 & 1 & 0.013889 & 0.958333 & 0.277778 \tabularnewline
[34.45,34.5] & 34.475 & 3 & 0.041667 & 1 & 0.833333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=189653&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][32.7,32.75[[/C][C]32.725[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]0.555556[/C][/ROW]
[ROW][C][32.75,32.8[[/C][C]32.775[/C][C]0[/C][C]0[/C][C]0.027778[/C][C]0[/C][/ROW]
[ROW][C][32.8,32.85[[/C][C]32.825[/C][C]0[/C][C]0[/C][C]0.027778[/C][C]0[/C][/ROW]
[ROW][C][32.85,32.9[[/C][C]32.875[/C][C]2[/C][C]0.027778[/C][C]0.055556[/C][C]0.555556[/C][/ROW]
[ROW][C][32.9,32.95[[/C][C]32.925[/C][C]2[/C][C]0.027778[/C][C]0.083333[/C][C]0.555556[/C][/ROW]
[ROW][C][32.95,33[[/C][C]32.975[/C][C]7[/C][C]0.097222[/C][C]0.180556[/C][C]1.944444[/C][/ROW]
[ROW][C][33,33.05[[/C][C]33.025[/C][C]6[/C][C]0.083333[/C][C]0.263889[/C][C]1.666667[/C][/ROW]
[ROW][C][33.05,33.1[[/C][C]33.075[/C][C]6[/C][C]0.083333[/C][C]0.347222[/C][C]1.666667[/C][/ROW]
[ROW][C][33.1,33.15[[/C][C]33.125[/C][C]2[/C][C]0.027778[/C][C]0.375[/C][C]0.555556[/C][/ROW]
[ROW][C][33.15,33.2[[/C][C]33.175[/C][C]0[/C][C]0[/C][C]0.375[/C][C]0[/C][/ROW]
[ROW][C][33.2,33.25[[/C][C]33.225[/C][C]1[/C][C]0.013889[/C][C]0.388889[/C][C]0.277778[/C][/ROW]
[ROW][C][33.25,33.3[[/C][C]33.275[/C][C]0[/C][C]0[/C][C]0.388889[/C][C]0[/C][/ROW]
[ROW][C][33.3,33.35[[/C][C]33.325[/C][C]0[/C][C]0[/C][C]0.388889[/C][C]0[/C][/ROW]
[ROW][C][33.35,33.4[[/C][C]33.375[/C][C]4[/C][C]0.055556[/C][C]0.444444[/C][C]1.111111[/C][/ROW]
[ROW][C][33.4,33.45[[/C][C]33.425[/C][C]1[/C][C]0.013889[/C][C]0.458333[/C][C]0.277778[/C][/ROW]
[ROW][C][33.45,33.5[[/C][C]33.475[/C][C]4[/C][C]0.055556[/C][C]0.513889[/C][C]1.111111[/C][/ROW]
[ROW][C][33.5,33.55[[/C][C]33.525[/C][C]0[/C][C]0[/C][C]0.513889[/C][C]0[/C][/ROW]
[ROW][C][33.55,33.6[[/C][C]33.575[/C][C]1[/C][C]0.013889[/C][C]0.527778[/C][C]0.277778[/C][/ROW]
[ROW][C][33.6,33.65[[/C][C]33.625[/C][C]0[/C][C]0[/C][C]0.527778[/C][C]0[/C][/ROW]
[ROW][C][33.65,33.7[[/C][C]33.675[/C][C]1[/C][C]0.013889[/C][C]0.541667[/C][C]0.277778[/C][/ROW]
[ROW][C][33.7,33.75[[/C][C]33.725[/C][C]1[/C][C]0.013889[/C][C]0.555556[/C][C]0.277778[/C][/ROW]
[ROW][C][33.75,33.8[[/C][C]33.775[/C][C]1[/C][C]0.013889[/C][C]0.569444[/C][C]0.277778[/C][/ROW]
[ROW][C][33.8,33.85[[/C][C]33.825[/C][C]3[/C][C]0.041667[/C][C]0.611111[/C][C]0.833333[/C][/ROW]
[ROW][C][33.85,33.9[[/C][C]33.875[/C][C]0[/C][C]0[/C][C]0.611111[/C][C]0[/C][/ROW]
[ROW][C][33.9,33.95[[/C][C]33.925[/C][C]1[/C][C]0.013889[/C][C]0.625[/C][C]0.277778[/C][/ROW]
[ROW][C][33.95,34[[/C][C]33.975[/C][C]0[/C][C]0[/C][C]0.625[/C][C]0[/C][/ROW]
[ROW][C][34,34.05[[/C][C]34.025[/C][C]1[/C][C]0.013889[/C][C]0.638889[/C][C]0.277778[/C][/ROW]
[ROW][C][34.05,34.1[[/C][C]34.075[/C][C]7[/C][C]0.097222[/C][C]0.736111[/C][C]1.944444[/C][/ROW]
[ROW][C][34.1,34.15[[/C][C]34.125[/C][C]1[/C][C]0.013889[/C][C]0.75[/C][C]0.277778[/C][/ROW]
[ROW][C][34.15,34.2[[/C][C]34.175[/C][C]5[/C][C]0.069444[/C][C]0.819444[/C][C]1.388889[/C][/ROW]
[ROW][C][34.2,34.25[[/C][C]34.225[/C][C]2[/C][C]0.027778[/C][C]0.847222[/C][C]0.555556[/C][/ROW]
[ROW][C][34.25,34.3[[/C][C]34.275[/C][C]5[/C][C]0.069444[/C][C]0.916667[/C][C]1.388889[/C][/ROW]
[ROW][C][34.3,34.35[[/C][C]34.325[/C][C]1[/C][C]0.013889[/C][C]0.930556[/C][C]0.277778[/C][/ROW]
[ROW][C][34.35,34.4[[/C][C]34.375[/C][C]1[/C][C]0.013889[/C][C]0.944444[/C][C]0.277778[/C][/ROW]
[ROW][C][34.4,34.45[[/C][C]34.425[/C][C]1[/C][C]0.013889[/C][C]0.958333[/C][C]0.277778[/C][/ROW]
[ROW][C][34.45,34.5][/C][C]34.475[/C][C]3[/C][C]0.041667[/C][C]1[/C][C]0.833333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=189653&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=189653&T=1

As an alternative you can also use a QR Code:  

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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[32.7,32.75[32.72520.0277780.0277780.555556
[32.75,32.8[32.775000.0277780
[32.8,32.85[32.825000.0277780
[32.85,32.9[32.87520.0277780.0555560.555556
[32.9,32.95[32.92520.0277780.0833330.555556
[32.95,33[32.97570.0972220.1805561.944444
[33,33.05[33.02560.0833330.2638891.666667
[33.05,33.1[33.07560.0833330.3472221.666667
[33.1,33.15[33.12520.0277780.3750.555556
[33.15,33.2[33.175000.3750
[33.2,33.25[33.22510.0138890.3888890.277778
[33.25,33.3[33.275000.3888890
[33.3,33.35[33.325000.3888890
[33.35,33.4[33.37540.0555560.4444441.111111
[33.4,33.45[33.42510.0138890.4583330.277778
[33.45,33.5[33.47540.0555560.5138891.111111
[33.5,33.55[33.525000.5138890
[33.55,33.6[33.57510.0138890.5277780.277778
[33.6,33.65[33.625000.5277780
[33.65,33.7[33.67510.0138890.5416670.277778
[33.7,33.75[33.72510.0138890.5555560.277778
[33.75,33.8[33.77510.0138890.5694440.277778
[33.8,33.85[33.82530.0416670.6111110.833333
[33.85,33.9[33.875000.6111110
[33.9,33.95[33.92510.0138890.6250.277778
[33.95,34[33.975000.6250
[34,34.05[34.02510.0138890.6388890.277778
[34.05,34.1[34.07570.0972220.7361111.944444
[34.1,34.15[34.12510.0138890.750.277778
[34.15,34.2[34.17550.0694440.8194441.388889
[34.2,34.25[34.22520.0277780.8472220.555556
[34.25,34.3[34.27550.0694440.9166671.388889
[34.3,34.35[34.32510.0138890.9305560.277778
[34.35,34.4[34.37510.0138890.9444440.277778
[34.4,34.45[34.42510.0138890.9583330.277778
[34.45,34.5]34.47530.04166710.833333



Parameters (Session):
par1 = 50 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 50 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}