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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 17 Dec 2012 03:53:58 -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/Dec/17/t1355734489972ervekc4cgpjb.htm/, Retrieved Thu, 28 Mar 2024 11:57:04 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=200716, Retrieved Thu, 28 Mar 2024 11:57:04 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact102
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [histogram 2] [2012-10-08 14:43:23] [128e58518e3986e62ec69e9f9cf25987]
- R PD    [Histogram] [] [2012-12-17 08:53:58] [b91e71fa3b5e2ab5567c9d258a8f1839] [Current]
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Dataseries X:
49,98
50,12
50,37
50,39
50,34
50,32
50,32
50,32
50,67
50,86
50,95
51,02
51,02
51,06
50,9
51,23
51,29
51,3
51,3
51,3
51,46
51,47
51,77
51,82
51,82
51,84
51,9
51,94
52,22
52,27
52,27
52,28
52,53
52,73
52,72
52,67
52,67
52,65
52,69
52,73
52,84
52,83
52,83
52,84
52,82
53,09
53,4
53,43
53,43
53,42
53,6
53,69
54,05
54,04
54,04
54,08
54,05
54,39
54,38
54,46
54,46
54,69
54,91
55,52
56,01
56,07
56,07
56,09
56,29
56,45
56,87
56,87




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=200716&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=200716&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200716&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
[49.8,50[49.910.0138890.0138890.069444
[50,50.2[50.110.0138890.0277780.069444
[50.2,50.4[50.360.0833330.1111110.416667
[50.4,50.6[50.5000.1111110
[50.6,50.8[50.710.0138890.1250.069444
[50.8,51[50.930.0416670.1666670.208333
[51,51.2[51.130.0416670.2083330.208333
[51.2,51.4[51.350.0694440.2777780.347222
[51.4,51.6[51.520.0277780.3055560.138889
[51.6,51.8[51.710.0138890.3194440.069444
[51.8,52[51.950.0694440.3888890.347222
[52,52.2[52.1000.3888890
[52.2,52.4[52.340.0555560.4444440.277778
[52.4,52.6[52.510.0138890.4583330.069444
[52.6,52.8[52.770.0972220.5555560.486111
[52.8,53[52.950.0694440.6250.347222
[53,53.2[53.110.0138890.6388890.069444
[53.2,53.4[53.3000.6388890
[53.4,53.6[53.540.0555560.6944440.277778
[53.6,53.8[53.720.0277780.7222220.138889
[53.8,54[53.9000.7222220
[54,54.2[54.150.0694440.7916670.347222
[54.2,54.4[54.320.0277780.8194440.138889
[54.4,54.6[54.520.0277780.8472220.138889
[54.6,54.8[54.710.0138890.8611110.069444
[54.8,55[54.910.0138890.8750.069444
[55,55.2[55.1000.8750
[55.2,55.4[55.3000.8750
[55.4,55.6[55.510.0138890.8888890.069444
[55.6,55.8[55.7000.8888890
[55.8,56[55.9000.8888890
[56,56.2[56.140.0555560.9444440.277778
[56.2,56.4[56.310.0138890.9583330.069444
[56.4,56.6[56.510.0138890.9722220.069444
[56.6,56.8[56.7000.9722220
[56.8,57]56.920.02777810.138889

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[49.8,50[ & 49.9 & 1 & 0.013889 & 0.013889 & 0.069444 \tabularnewline
[50,50.2[ & 50.1 & 1 & 0.013889 & 0.027778 & 0.069444 \tabularnewline
[50.2,50.4[ & 50.3 & 6 & 0.083333 & 0.111111 & 0.416667 \tabularnewline
[50.4,50.6[ & 50.5 & 0 & 0 & 0.111111 & 0 \tabularnewline
[50.6,50.8[ & 50.7 & 1 & 0.013889 & 0.125 & 0.069444 \tabularnewline
[50.8,51[ & 50.9 & 3 & 0.041667 & 0.166667 & 0.208333 \tabularnewline
[51,51.2[ & 51.1 & 3 & 0.041667 & 0.208333 & 0.208333 \tabularnewline
[51.2,51.4[ & 51.3 & 5 & 0.069444 & 0.277778 & 0.347222 \tabularnewline
[51.4,51.6[ & 51.5 & 2 & 0.027778 & 0.305556 & 0.138889 \tabularnewline
[51.6,51.8[ & 51.7 & 1 & 0.013889 & 0.319444 & 0.069444 \tabularnewline
[51.8,52[ & 51.9 & 5 & 0.069444 & 0.388889 & 0.347222 \tabularnewline
[52,52.2[ & 52.1 & 0 & 0 & 0.388889 & 0 \tabularnewline
[52.2,52.4[ & 52.3 & 4 & 0.055556 & 0.444444 & 0.277778 \tabularnewline
[52.4,52.6[ & 52.5 & 1 & 0.013889 & 0.458333 & 0.069444 \tabularnewline
[52.6,52.8[ & 52.7 & 7 & 0.097222 & 0.555556 & 0.486111 \tabularnewline
[52.8,53[ & 52.9 & 5 & 0.069444 & 0.625 & 0.347222 \tabularnewline
[53,53.2[ & 53.1 & 1 & 0.013889 & 0.638889 & 0.069444 \tabularnewline
[53.2,53.4[ & 53.3 & 0 & 0 & 0.638889 & 0 \tabularnewline
[53.4,53.6[ & 53.5 & 4 & 0.055556 & 0.694444 & 0.277778 \tabularnewline
[53.6,53.8[ & 53.7 & 2 & 0.027778 & 0.722222 & 0.138889 \tabularnewline
[53.8,54[ & 53.9 & 0 & 0 & 0.722222 & 0 \tabularnewline
[54,54.2[ & 54.1 & 5 & 0.069444 & 0.791667 & 0.347222 \tabularnewline
[54.2,54.4[ & 54.3 & 2 & 0.027778 & 0.819444 & 0.138889 \tabularnewline
[54.4,54.6[ & 54.5 & 2 & 0.027778 & 0.847222 & 0.138889 \tabularnewline
[54.6,54.8[ & 54.7 & 1 & 0.013889 & 0.861111 & 0.069444 \tabularnewline
[54.8,55[ & 54.9 & 1 & 0.013889 & 0.875 & 0.069444 \tabularnewline
[55,55.2[ & 55.1 & 0 & 0 & 0.875 & 0 \tabularnewline
[55.2,55.4[ & 55.3 & 0 & 0 & 0.875 & 0 \tabularnewline
[55.4,55.6[ & 55.5 & 1 & 0.013889 & 0.888889 & 0.069444 \tabularnewline
[55.6,55.8[ & 55.7 & 0 & 0 & 0.888889 & 0 \tabularnewline
[55.8,56[ & 55.9 & 0 & 0 & 0.888889 & 0 \tabularnewline
[56,56.2[ & 56.1 & 4 & 0.055556 & 0.944444 & 0.277778 \tabularnewline
[56.2,56.4[ & 56.3 & 1 & 0.013889 & 0.958333 & 0.069444 \tabularnewline
[56.4,56.6[ & 56.5 & 1 & 0.013889 & 0.972222 & 0.069444 \tabularnewline
[56.6,56.8[ & 56.7 & 0 & 0 & 0.972222 & 0 \tabularnewline
[56.8,57] & 56.9 & 2 & 0.027778 & 1 & 0.138889 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=200716&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][49.8,50[[/C][C]49.9[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.069444[/C][/ROW]
[ROW][C][50,50.2[[/C][C]50.1[/C][C]1[/C][C]0.013889[/C][C]0.027778[/C][C]0.069444[/C][/ROW]
[ROW][C][50.2,50.4[[/C][C]50.3[/C][C]6[/C][C]0.083333[/C][C]0.111111[/C][C]0.416667[/C][/ROW]
[ROW][C][50.4,50.6[[/C][C]50.5[/C][C]0[/C][C]0[/C][C]0.111111[/C][C]0[/C][/ROW]
[ROW][C][50.6,50.8[[/C][C]50.7[/C][C]1[/C][C]0.013889[/C][C]0.125[/C][C]0.069444[/C][/ROW]
[ROW][C][50.8,51[[/C][C]50.9[/C][C]3[/C][C]0.041667[/C][C]0.166667[/C][C]0.208333[/C][/ROW]
[ROW][C][51,51.2[[/C][C]51.1[/C][C]3[/C][C]0.041667[/C][C]0.208333[/C][C]0.208333[/C][/ROW]
[ROW][C][51.2,51.4[[/C][C]51.3[/C][C]5[/C][C]0.069444[/C][C]0.277778[/C][C]0.347222[/C][/ROW]
[ROW][C][51.4,51.6[[/C][C]51.5[/C][C]2[/C][C]0.027778[/C][C]0.305556[/C][C]0.138889[/C][/ROW]
[ROW][C][51.6,51.8[[/C][C]51.7[/C][C]1[/C][C]0.013889[/C][C]0.319444[/C][C]0.069444[/C][/ROW]
[ROW][C][51.8,52[[/C][C]51.9[/C][C]5[/C][C]0.069444[/C][C]0.388889[/C][C]0.347222[/C][/ROW]
[ROW][C][52,52.2[[/C][C]52.1[/C][C]0[/C][C]0[/C][C]0.388889[/C][C]0[/C][/ROW]
[ROW][C][52.2,52.4[[/C][C]52.3[/C][C]4[/C][C]0.055556[/C][C]0.444444[/C][C]0.277778[/C][/ROW]
[ROW][C][52.4,52.6[[/C][C]52.5[/C][C]1[/C][C]0.013889[/C][C]0.458333[/C][C]0.069444[/C][/ROW]
[ROW][C][52.6,52.8[[/C][C]52.7[/C][C]7[/C][C]0.097222[/C][C]0.555556[/C][C]0.486111[/C][/ROW]
[ROW][C][52.8,53[[/C][C]52.9[/C][C]5[/C][C]0.069444[/C][C]0.625[/C][C]0.347222[/C][/ROW]
[ROW][C][53,53.2[[/C][C]53.1[/C][C]1[/C][C]0.013889[/C][C]0.638889[/C][C]0.069444[/C][/ROW]
[ROW][C][53.2,53.4[[/C][C]53.3[/C][C]0[/C][C]0[/C][C]0.638889[/C][C]0[/C][/ROW]
[ROW][C][53.4,53.6[[/C][C]53.5[/C][C]4[/C][C]0.055556[/C][C]0.694444[/C][C]0.277778[/C][/ROW]
[ROW][C][53.6,53.8[[/C][C]53.7[/C][C]2[/C][C]0.027778[/C][C]0.722222[/C][C]0.138889[/C][/ROW]
[ROW][C][53.8,54[[/C][C]53.9[/C][C]0[/C][C]0[/C][C]0.722222[/C][C]0[/C][/ROW]
[ROW][C][54,54.2[[/C][C]54.1[/C][C]5[/C][C]0.069444[/C][C]0.791667[/C][C]0.347222[/C][/ROW]
[ROW][C][54.2,54.4[[/C][C]54.3[/C][C]2[/C][C]0.027778[/C][C]0.819444[/C][C]0.138889[/C][/ROW]
[ROW][C][54.4,54.6[[/C][C]54.5[/C][C]2[/C][C]0.027778[/C][C]0.847222[/C][C]0.138889[/C][/ROW]
[ROW][C][54.6,54.8[[/C][C]54.7[/C][C]1[/C][C]0.013889[/C][C]0.861111[/C][C]0.069444[/C][/ROW]
[ROW][C][54.8,55[[/C][C]54.9[/C][C]1[/C][C]0.013889[/C][C]0.875[/C][C]0.069444[/C][/ROW]
[ROW][C][55,55.2[[/C][C]55.1[/C][C]0[/C][C]0[/C][C]0.875[/C][C]0[/C][/ROW]
[ROW][C][55.2,55.4[[/C][C]55.3[/C][C]0[/C][C]0[/C][C]0.875[/C][C]0[/C][/ROW]
[ROW][C][55.4,55.6[[/C][C]55.5[/C][C]1[/C][C]0.013889[/C][C]0.888889[/C][C]0.069444[/C][/ROW]
[ROW][C][55.6,55.8[[/C][C]55.7[/C][C]0[/C][C]0[/C][C]0.888889[/C][C]0[/C][/ROW]
[ROW][C][55.8,56[[/C][C]55.9[/C][C]0[/C][C]0[/C][C]0.888889[/C][C]0[/C][/ROW]
[ROW][C][56,56.2[[/C][C]56.1[/C][C]4[/C][C]0.055556[/C][C]0.944444[/C][C]0.277778[/C][/ROW]
[ROW][C][56.2,56.4[[/C][C]56.3[/C][C]1[/C][C]0.013889[/C][C]0.958333[/C][C]0.069444[/C][/ROW]
[ROW][C][56.4,56.6[[/C][C]56.5[/C][C]1[/C][C]0.013889[/C][C]0.972222[/C][C]0.069444[/C][/ROW]
[ROW][C][56.6,56.8[[/C][C]56.7[/C][C]0[/C][C]0[/C][C]0.972222[/C][C]0[/C][/ROW]
[ROW][C][56.8,57][/C][C]56.9[/C][C]2[/C][C]0.027778[/C][C]1[/C][C]0.138889[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=200716&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=200716&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
[49.8,50[49.910.0138890.0138890.069444
[50,50.2[50.110.0138890.0277780.069444
[50.2,50.4[50.360.0833330.1111110.416667
[50.4,50.6[50.5000.1111110
[50.6,50.8[50.710.0138890.1250.069444
[50.8,51[50.930.0416670.1666670.208333
[51,51.2[51.130.0416670.2083330.208333
[51.2,51.4[51.350.0694440.2777780.347222
[51.4,51.6[51.520.0277780.3055560.138889
[51.6,51.8[51.710.0138890.3194440.069444
[51.8,52[51.950.0694440.3888890.347222
[52,52.2[52.1000.3888890
[52.2,52.4[52.340.0555560.4444440.277778
[52.4,52.6[52.510.0138890.4583330.069444
[52.6,52.8[52.770.0972220.5555560.486111
[52.8,53[52.950.0694440.6250.347222
[53,53.2[53.110.0138890.6388890.069444
[53.2,53.4[53.3000.6388890
[53.4,53.6[53.540.0555560.6944440.277778
[53.6,53.8[53.720.0277780.7222220.138889
[53.8,54[53.9000.7222220
[54,54.2[54.150.0694440.7916670.347222
[54.2,54.4[54.320.0277780.8194440.138889
[54.4,54.6[54.520.0277780.8472220.138889
[54.6,54.8[54.710.0138890.8611110.069444
[54.8,55[54.910.0138890.8750.069444
[55,55.2[55.1000.8750
[55.2,55.4[55.3000.8750
[55.4,55.6[55.510.0138890.8888890.069444
[55.6,55.8[55.7000.8888890
[55.8,56[55.9000.8888890
[56,56.2[56.140.0555560.9444440.277778
[56.2,56.4[56.310.0138890.9583330.069444
[56.4,56.6[56.510.0138890.9722220.069444
[56.6,56.8[56.7000.9722220
[56.8,57]56.920.02777810.138889



Parameters (Session):
par1 = 27 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 27 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '27'
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')
}