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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 11 Feb 2013 16:40:49 -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/2013/Feb/11/t1360618924j7k7krd5j7vorms.htm/, Retrieved Mon, 29 Apr 2024 09:54:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206288, Retrieved Mon, 29 Apr 2024 09:54:39 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact59
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram condooms 4] [2013-02-11 21:40:49] [8907525eeb8291a8059cdce9cf2ca306] [Current]
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Dataseries X:
8.27
8.25
8.22
8.21
8.12
8.16
8.15
8.1
8.09
8.02
8.03
7.98
7.95
7.92
7.96
7.96
7.94
7.83
7.77
7.8
7.78
7.78
7.8
7.81
7.95
8.02
7.99
8.01
8.03
8.05
8.05
8.06
8.07
7.99
8
8.01
8
8.09
8.1
8.12
8.29
8.32
8.36
8.38
8.48
8.45
8.41
8.38
8.38
8.34
8.41
8.34
8.22
8.27
8.18
8.19
8.19
8.13
8.06
7.99
8
7.98
7.92
7.93
7.9
7.86
7.88
7.88
7.93
7.91
7.89
7.93




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206288&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206288&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206288&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[7.76,7.78[7.7710.0138890.0138890.694444
[7.78,7.8[7.7920.0277780.0416671.388889
[7.8,7.82[7.8130.0416670.0833332.083333
[7.82,7.84[7.8310.0138890.0972220.694444
[7.84,7.86[7.85000.0972220
[7.86,7.88[7.8710.0138890.1111110.694444
[7.88,7.9[7.8930.0416670.1527782.083333
[7.9,7.92[7.9120.0277780.1805561.388889
[7.92,7.94[7.9350.0694440.253.472222
[7.94,7.96[7.9530.0416670.2916672.083333
[7.96,7.98[7.9720.0277780.3194441.388889
[7.98,8[7.9950.0694440.3888893.472222
[8,8.02[8.0150.0694440.4583333.472222
[8.02,8.04[8.0340.0555560.5138892.777778
[8.04,8.06[8.0520.0277780.5416671.388889
[8.06,8.08[8.0730.0416670.5833332.083333
[8.08,8.1[8.0920.0277780.6111111.388889
[8.1,8.12[8.1120.0277780.6388891.388889
[8.12,8.14[8.1330.0416670.6805562.083333
[8.14,8.16[8.1510.0138890.6944440.694444
[8.16,8.18[8.1710.0138890.7083330.694444
[8.18,8.2[8.1930.0416670.752.083333
[8.2,8.22[8.2110.0138890.7638890.694444
[8.22,8.24[8.2320.0277780.7916671.388889
[8.24,8.26[8.2510.0138890.8055560.694444
[8.26,8.28[8.2720.0277780.8333331.388889
[8.28,8.3[8.2910.0138890.8472220.694444
[8.3,8.32[8.31000.8472220
[8.32,8.34[8.3310.0138890.8611110.694444
[8.34,8.36[8.3520.0277780.8888891.388889
[8.36,8.38[8.3710.0138890.9027780.694444
[8.38,8.4[8.3930.0416670.9444442.083333
[8.4,8.42[8.4120.0277780.9722221.388889
[8.42,8.44[8.43000.9722220
[8.44,8.46[8.4510.0138890.9861110.694444
[8.46,8.48]8.4710.01388910.694444

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[7.76,7.78[ & 7.77 & 1 & 0.013889 & 0.013889 & 0.694444 \tabularnewline
[7.78,7.8[ & 7.79 & 2 & 0.027778 & 0.041667 & 1.388889 \tabularnewline
[7.8,7.82[ & 7.81 & 3 & 0.041667 & 0.083333 & 2.083333 \tabularnewline
[7.82,7.84[ & 7.83 & 1 & 0.013889 & 0.097222 & 0.694444 \tabularnewline
[7.84,7.86[ & 7.85 & 0 & 0 & 0.097222 & 0 \tabularnewline
[7.86,7.88[ & 7.87 & 1 & 0.013889 & 0.111111 & 0.694444 \tabularnewline
[7.88,7.9[ & 7.89 & 3 & 0.041667 & 0.152778 & 2.083333 \tabularnewline
[7.9,7.92[ & 7.91 & 2 & 0.027778 & 0.180556 & 1.388889 \tabularnewline
[7.92,7.94[ & 7.93 & 5 & 0.069444 & 0.25 & 3.472222 \tabularnewline
[7.94,7.96[ & 7.95 & 3 & 0.041667 & 0.291667 & 2.083333 \tabularnewline
[7.96,7.98[ & 7.97 & 2 & 0.027778 & 0.319444 & 1.388889 \tabularnewline
[7.98,8[ & 7.99 & 5 & 0.069444 & 0.388889 & 3.472222 \tabularnewline
[8,8.02[ & 8.01 & 5 & 0.069444 & 0.458333 & 3.472222 \tabularnewline
[8.02,8.04[ & 8.03 & 4 & 0.055556 & 0.513889 & 2.777778 \tabularnewline
[8.04,8.06[ & 8.05 & 2 & 0.027778 & 0.541667 & 1.388889 \tabularnewline
[8.06,8.08[ & 8.07 & 3 & 0.041667 & 0.583333 & 2.083333 \tabularnewline
[8.08,8.1[ & 8.09 & 2 & 0.027778 & 0.611111 & 1.388889 \tabularnewline
[8.1,8.12[ & 8.11 & 2 & 0.027778 & 0.638889 & 1.388889 \tabularnewline
[8.12,8.14[ & 8.13 & 3 & 0.041667 & 0.680556 & 2.083333 \tabularnewline
[8.14,8.16[ & 8.15 & 1 & 0.013889 & 0.694444 & 0.694444 \tabularnewline
[8.16,8.18[ & 8.17 & 1 & 0.013889 & 0.708333 & 0.694444 \tabularnewline
[8.18,8.2[ & 8.19 & 3 & 0.041667 & 0.75 & 2.083333 \tabularnewline
[8.2,8.22[ & 8.21 & 1 & 0.013889 & 0.763889 & 0.694444 \tabularnewline
[8.22,8.24[ & 8.23 & 2 & 0.027778 & 0.791667 & 1.388889 \tabularnewline
[8.24,8.26[ & 8.25 & 1 & 0.013889 & 0.805556 & 0.694444 \tabularnewline
[8.26,8.28[ & 8.27 & 2 & 0.027778 & 0.833333 & 1.388889 \tabularnewline
[8.28,8.3[ & 8.29 & 1 & 0.013889 & 0.847222 & 0.694444 \tabularnewline
[8.3,8.32[ & 8.31 & 0 & 0 & 0.847222 & 0 \tabularnewline
[8.32,8.34[ & 8.33 & 1 & 0.013889 & 0.861111 & 0.694444 \tabularnewline
[8.34,8.36[ & 8.35 & 2 & 0.027778 & 0.888889 & 1.388889 \tabularnewline
[8.36,8.38[ & 8.37 & 1 & 0.013889 & 0.902778 & 0.694444 \tabularnewline
[8.38,8.4[ & 8.39 & 3 & 0.041667 & 0.944444 & 2.083333 \tabularnewline
[8.4,8.42[ & 8.41 & 2 & 0.027778 & 0.972222 & 1.388889 \tabularnewline
[8.42,8.44[ & 8.43 & 0 & 0 & 0.972222 & 0 \tabularnewline
[8.44,8.46[ & 8.45 & 1 & 0.013889 & 0.986111 & 0.694444 \tabularnewline
[8.46,8.48] & 8.47 & 1 & 0.013889 & 1 & 0.694444 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206288&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][7.76,7.78[[/C][C]7.77[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.694444[/C][/ROW]
[ROW][C][7.78,7.8[[/C][C]7.79[/C][C]2[/C][C]0.027778[/C][C]0.041667[/C][C]1.388889[/C][/ROW]
[ROW][C][7.8,7.82[[/C][C]7.81[/C][C]3[/C][C]0.041667[/C][C]0.083333[/C][C]2.083333[/C][/ROW]
[ROW][C][7.82,7.84[[/C][C]7.83[/C][C]1[/C][C]0.013889[/C][C]0.097222[/C][C]0.694444[/C][/ROW]
[ROW][C][7.84,7.86[[/C][C]7.85[/C][C]0[/C][C]0[/C][C]0.097222[/C][C]0[/C][/ROW]
[ROW][C][7.86,7.88[[/C][C]7.87[/C][C]1[/C][C]0.013889[/C][C]0.111111[/C][C]0.694444[/C][/ROW]
[ROW][C][7.88,7.9[[/C][C]7.89[/C][C]3[/C][C]0.041667[/C][C]0.152778[/C][C]2.083333[/C][/ROW]
[ROW][C][7.9,7.92[[/C][C]7.91[/C][C]2[/C][C]0.027778[/C][C]0.180556[/C][C]1.388889[/C][/ROW]
[ROW][C][7.92,7.94[[/C][C]7.93[/C][C]5[/C][C]0.069444[/C][C]0.25[/C][C]3.472222[/C][/ROW]
[ROW][C][7.94,7.96[[/C][C]7.95[/C][C]3[/C][C]0.041667[/C][C]0.291667[/C][C]2.083333[/C][/ROW]
[ROW][C][7.96,7.98[[/C][C]7.97[/C][C]2[/C][C]0.027778[/C][C]0.319444[/C][C]1.388889[/C][/ROW]
[ROW][C][7.98,8[[/C][C]7.99[/C][C]5[/C][C]0.069444[/C][C]0.388889[/C][C]3.472222[/C][/ROW]
[ROW][C][8,8.02[[/C][C]8.01[/C][C]5[/C][C]0.069444[/C][C]0.458333[/C][C]3.472222[/C][/ROW]
[ROW][C][8.02,8.04[[/C][C]8.03[/C][C]4[/C][C]0.055556[/C][C]0.513889[/C][C]2.777778[/C][/ROW]
[ROW][C][8.04,8.06[[/C][C]8.05[/C][C]2[/C][C]0.027778[/C][C]0.541667[/C][C]1.388889[/C][/ROW]
[ROW][C][8.06,8.08[[/C][C]8.07[/C][C]3[/C][C]0.041667[/C][C]0.583333[/C][C]2.083333[/C][/ROW]
[ROW][C][8.08,8.1[[/C][C]8.09[/C][C]2[/C][C]0.027778[/C][C]0.611111[/C][C]1.388889[/C][/ROW]
[ROW][C][8.1,8.12[[/C][C]8.11[/C][C]2[/C][C]0.027778[/C][C]0.638889[/C][C]1.388889[/C][/ROW]
[ROW][C][8.12,8.14[[/C][C]8.13[/C][C]3[/C][C]0.041667[/C][C]0.680556[/C][C]2.083333[/C][/ROW]
[ROW][C][8.14,8.16[[/C][C]8.15[/C][C]1[/C][C]0.013889[/C][C]0.694444[/C][C]0.694444[/C][/ROW]
[ROW][C][8.16,8.18[[/C][C]8.17[/C][C]1[/C][C]0.013889[/C][C]0.708333[/C][C]0.694444[/C][/ROW]
[ROW][C][8.18,8.2[[/C][C]8.19[/C][C]3[/C][C]0.041667[/C][C]0.75[/C][C]2.083333[/C][/ROW]
[ROW][C][8.2,8.22[[/C][C]8.21[/C][C]1[/C][C]0.013889[/C][C]0.763889[/C][C]0.694444[/C][/ROW]
[ROW][C][8.22,8.24[[/C][C]8.23[/C][C]2[/C][C]0.027778[/C][C]0.791667[/C][C]1.388889[/C][/ROW]
[ROW][C][8.24,8.26[[/C][C]8.25[/C][C]1[/C][C]0.013889[/C][C]0.805556[/C][C]0.694444[/C][/ROW]
[ROW][C][8.26,8.28[[/C][C]8.27[/C][C]2[/C][C]0.027778[/C][C]0.833333[/C][C]1.388889[/C][/ROW]
[ROW][C][8.28,8.3[[/C][C]8.29[/C][C]1[/C][C]0.013889[/C][C]0.847222[/C][C]0.694444[/C][/ROW]
[ROW][C][8.3,8.32[[/C][C]8.31[/C][C]0[/C][C]0[/C][C]0.847222[/C][C]0[/C][/ROW]
[ROW][C][8.32,8.34[[/C][C]8.33[/C][C]1[/C][C]0.013889[/C][C]0.861111[/C][C]0.694444[/C][/ROW]
[ROW][C][8.34,8.36[[/C][C]8.35[/C][C]2[/C][C]0.027778[/C][C]0.888889[/C][C]1.388889[/C][/ROW]
[ROW][C][8.36,8.38[[/C][C]8.37[/C][C]1[/C][C]0.013889[/C][C]0.902778[/C][C]0.694444[/C][/ROW]
[ROW][C][8.38,8.4[[/C][C]8.39[/C][C]3[/C][C]0.041667[/C][C]0.944444[/C][C]2.083333[/C][/ROW]
[ROW][C][8.4,8.42[[/C][C]8.41[/C][C]2[/C][C]0.027778[/C][C]0.972222[/C][C]1.388889[/C][/ROW]
[ROW][C][8.42,8.44[[/C][C]8.43[/C][C]0[/C][C]0[/C][C]0.972222[/C][C]0[/C][/ROW]
[ROW][C][8.44,8.46[[/C][C]8.45[/C][C]1[/C][C]0.013889[/C][C]0.986111[/C][C]0.694444[/C][/ROW]
[ROW][C][8.46,8.48][/C][C]8.47[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]0.694444[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206288&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206288&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
[7.76,7.78[7.7710.0138890.0138890.694444
[7.78,7.8[7.7920.0277780.0416671.388889
[7.8,7.82[7.8130.0416670.0833332.083333
[7.82,7.84[7.8310.0138890.0972220.694444
[7.84,7.86[7.85000.0972220
[7.86,7.88[7.8710.0138890.1111110.694444
[7.88,7.9[7.8930.0416670.1527782.083333
[7.9,7.92[7.9120.0277780.1805561.388889
[7.92,7.94[7.9350.0694440.253.472222
[7.94,7.96[7.9530.0416670.2916672.083333
[7.96,7.98[7.9720.0277780.3194441.388889
[7.98,8[7.9950.0694440.3888893.472222
[8,8.02[8.0150.0694440.4583333.472222
[8.02,8.04[8.0340.0555560.5138892.777778
[8.04,8.06[8.0520.0277780.5416671.388889
[8.06,8.08[8.0730.0416670.5833332.083333
[8.08,8.1[8.0920.0277780.6111111.388889
[8.1,8.12[8.1120.0277780.6388891.388889
[8.12,8.14[8.1330.0416670.6805562.083333
[8.14,8.16[8.1510.0138890.6944440.694444
[8.16,8.18[8.1710.0138890.7083330.694444
[8.18,8.2[8.1930.0416670.752.083333
[8.2,8.22[8.2110.0138890.7638890.694444
[8.22,8.24[8.2320.0277780.7916671.388889
[8.24,8.26[8.2510.0138890.8055560.694444
[8.26,8.28[8.2720.0277780.8333331.388889
[8.28,8.3[8.2910.0138890.8472220.694444
[8.3,8.32[8.31000.8472220
[8.32,8.34[8.3310.0138890.8611110.694444
[8.34,8.36[8.3520.0277780.8888891.388889
[8.36,8.38[8.3710.0138890.9027780.694444
[8.38,8.4[8.3930.0416670.9444442.083333
[8.4,8.42[8.4120.0277780.9722221.388889
[8.42,8.44[8.43000.9722220
[8.44,8.46[8.4510.0138890.9861110.694444
[8.46,8.48]8.4710.01388910.694444



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 30 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '20'
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')
}