FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 13 Dec 2011 11:28:06 -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/2011/Dec/13/t1323793712xdory0aofx0zt7u.htm/, Retrieved Thu, 02 May 2024 20:10:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154500, Retrieved Thu, 02 May 2024 20:10:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Bad example of Hi...] [2010-09-25 09:28:23] [b98453cac15ba1066b407e146608df68]
- R P   [Histogram] [Task 3] [2011-09-30 09:15:05] [54b1f171ce7a12209ffa11b565e1dcf5]
-   PD    [Histogram] [Paper: Histogram] [2011-12-13 16:07:19] [54b1f171ce7a12209ffa11b565e1dcf5]
-    D        [Histogram] [Paper: Histogram] [2011-12-13 16:28:06] [70041e5e9044b1d424b6896a10522877] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
188
19
176
193
231
195
186
71
140
137
159
106
204
247
122
109
182
72
1343
131
260
243
121
114
78
200
196
81
169
125
41
86
136
167
191
33
73
28
233
191
198
142
52
198
250
55
161
113
192
116
178
145
269
177
112
146
196
116
143
138
94
1745
96
144
156
208
239
154
255
91
153
133
157
50
132
61
183
241
276
196
144
140
70
97
233
136
183
197
191
230
33
113
179
42
181
130
212
69
223
224

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154500&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154500&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154500&T=0

As an alternative you can also use a QR Code:  
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'George Udny Yule' @ yule.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,50[2560.060.060.0012
[50,100[75160.160.220.0032
[100,150[125270.270.490.0054
[150,200[175300.30.790.006
[200,250[225140.140.930.0028
[250,300[27550.050.980.001
[300,350[325000.980
[350,400[375000.980
[400,450[425000.980
[450,500[475000.980
[500,550[525000.980
[550,600[575000.980
[600,650[625000.980
[650,700[675000.980
[700,750[725000.980
[750,800[775000.980
[800,850[825000.980
[850,900[875000.980
[900,950[925000.980
[950,1000[975000.980
[1000,1050[1025000.980
[1050,1100[1075000.980
[1100,1150[1125000.980
[1150,1200[1175000.980
[1200,1250[1225000.980
[1250,1300[1275000.980
[1300,1350[132510.010.992e-04
[1350,1400[1375000.990
[1400,1450[1425000.990
[1450,1500[1475000.990
[1500,1550[1525000.990
[1550,1600[1575000.990
[1600,1650[1625000.990
[1650,1700[1675000.990
[1700,1750]172510.0112e-04

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,50[ & 25 & 6 & 0.06 & 0.06 & 0.0012 \tabularnewline
[50,100[ & 75 & 16 & 0.16 & 0.22 & 0.0032 \tabularnewline
[100,150[ & 125 & 27 & 0.27 & 0.49 & 0.0054 \tabularnewline
[150,200[ & 175 & 30 & 0.3 & 0.79 & 0.006 \tabularnewline
[200,250[ & 225 & 14 & 0.14 & 0.93 & 0.0028 \tabularnewline
[250,300[ & 275 & 5 & 0.05 & 0.98 & 0.001 \tabularnewline
[300,350[ & 325 & 0 & 0 & 0.98 & 0 \tabularnewline
[350,400[ & 375 & 0 & 0 & 0.98 & 0 \tabularnewline
[400,450[ & 425 & 0 & 0 & 0.98 & 0 \tabularnewline
[450,500[ & 475 & 0 & 0 & 0.98 & 0 \tabularnewline
[500,550[ & 525 & 0 & 0 & 0.98 & 0 \tabularnewline
[550,600[ & 575 & 0 & 0 & 0.98 & 0 \tabularnewline
[600,650[ & 625 & 0 & 0 & 0.98 & 0 \tabularnewline
[650,700[ & 675 & 0 & 0 & 0.98 & 0 \tabularnewline
[700,750[ & 725 & 0 & 0 & 0.98 & 0 \tabularnewline
[750,800[ & 775 & 0 & 0 & 0.98 & 0 \tabularnewline
[800,850[ & 825 & 0 & 0 & 0.98 & 0 \tabularnewline
[850,900[ & 875 & 0 & 0 & 0.98 & 0 \tabularnewline
[900,950[ & 925 & 0 & 0 & 0.98 & 0 \tabularnewline
[950,1000[ & 975 & 0 & 0 & 0.98 & 0 \tabularnewline
[1000,1050[ & 1025 & 0 & 0 & 0.98 & 0 \tabularnewline
[1050,1100[ & 1075 & 0 & 0 & 0.98 & 0 \tabularnewline
[1100,1150[ & 1125 & 0 & 0 & 0.98 & 0 \tabularnewline
[1150,1200[ & 1175 & 0 & 0 & 0.98 & 0 \tabularnewline
[1200,1250[ & 1225 & 0 & 0 & 0.98 & 0 \tabularnewline
[1250,1300[ & 1275 & 0 & 0 & 0.98 & 0 \tabularnewline
[1300,1350[ & 1325 & 1 & 0.01 & 0.99 & 2e-04 \tabularnewline
[1350,1400[ & 1375 & 0 & 0 & 0.99 & 0 \tabularnewline
[1400,1450[ & 1425 & 0 & 0 & 0.99 & 0 \tabularnewline
[1450,1500[ & 1475 & 0 & 0 & 0.99 & 0 \tabularnewline
[1500,1550[ & 1525 & 0 & 0 & 0.99 & 0 \tabularnewline
[1550,1600[ & 1575 & 0 & 0 & 0.99 & 0 \tabularnewline
[1600,1650[ & 1625 & 0 & 0 & 0.99 & 0 \tabularnewline
[1650,1700[ & 1675 & 0 & 0 & 0.99 & 0 \tabularnewline
[1700,1750] & 1725 & 1 & 0.01 & 1 & 2e-04 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154500&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][0,50[[/C][C]25[/C][C]6[/C][C]0.06[/C][C]0.06[/C][C]0.0012[/C][/ROW]
[ROW][C][50,100[[/C][C]75[/C][C]16[/C][C]0.16[/C][C]0.22[/C][C]0.0032[/C][/ROW]
[ROW][C][100,150[[/C][C]125[/C][C]27[/C][C]0.27[/C][C]0.49[/C][C]0.0054[/C][/ROW]
[ROW][C][150,200[[/C][C]175[/C][C]30[/C][C]0.3[/C][C]0.79[/C][C]0.006[/C][/ROW]
[ROW][C][200,250[[/C][C]225[/C][C]14[/C][C]0.14[/C][C]0.93[/C][C]0.0028[/C][/ROW]
[ROW][C][250,300[[/C][C]275[/C][C]5[/C][C]0.05[/C][C]0.98[/C][C]0.001[/C][/ROW]
[ROW][C][300,350[[/C][C]325[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][350,400[[/C][C]375[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][400,450[[/C][C]425[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][450,500[[/C][C]475[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][500,550[[/C][C]525[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][550,600[[/C][C]575[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][600,650[[/C][C]625[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][650,700[[/C][C]675[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][700,750[[/C][C]725[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][750,800[[/C][C]775[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][800,850[[/C][C]825[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][850,900[[/C][C]875[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][900,950[[/C][C]925[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][950,1000[[/C][C]975[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][1000,1050[[/C][C]1025[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][1050,1100[[/C][C]1075[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][1100,1150[[/C][C]1125[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][1150,1200[[/C][C]1175[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][1200,1250[[/C][C]1225[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][1250,1300[[/C][C]1275[/C][C]0[/C][C]0[/C][C]0.98[/C][C]0[/C][/ROW]
[ROW][C][1300,1350[[/C][C]1325[/C][C]1[/C][C]0.01[/C][C]0.99[/C][C]2e-04[/C][/ROW]
[ROW][C][1350,1400[[/C][C]1375[/C][C]0[/C][C]0[/C][C]0.99[/C][C]0[/C][/ROW]
[ROW][C][1400,1450[[/C][C]1425[/C][C]0[/C][C]0[/C][C]0.99[/C][C]0[/C][/ROW]
[ROW][C][1450,1500[[/C][C]1475[/C][C]0[/C][C]0[/C][C]0.99[/C][C]0[/C][/ROW]
[ROW][C][1500,1550[[/C][C]1525[/C][C]0[/C][C]0[/C][C]0.99[/C][C]0[/C][/ROW]
[ROW][C][1550,1600[[/C][C]1575[/C][C]0[/C][C]0[/C][C]0.99[/C][C]0[/C][/ROW]
[ROW][C][1600,1650[[/C][C]1625[/C][C]0[/C][C]0[/C][C]0.99[/C][C]0[/C][/ROW]
[ROW][C][1650,1700[[/C][C]1675[/C][C]0[/C][C]0[/C][C]0.99[/C][C]0[/C][/ROW]
[ROW][C][1700,1750][/C][C]1725[/C][C]1[/C][C]0.01[/C][C]1[/C][C]2e-04[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154500&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154500&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,50[2560.060.060.0012
[50,100[75160.160.220.0032
[100,150[125270.270.490.0054
[150,200[175300.30.790.006
[200,250[225140.140.930.0028
[250,300[27550.050.980.001
[300,350[325000.980
[350,400[375000.980
[400,450[425000.980
[450,500[475000.980
[500,550[525000.980
[550,600[575000.980
[600,650[625000.980
[650,700[675000.980
[700,750[725000.980
[750,800[775000.980
[800,850[825000.980
[850,900[875000.980
[900,950[925000.980
[950,1000[975000.980
[1000,1050[1025000.980
[1050,1100[1075000.980
[1100,1150[1125000.980
[1150,1200[1175000.980
[1200,1250[1225000.980
[1250,1300[1275000.980
[1300,1350[132510.010.992e-04
[1350,1400[1375000.990
[1400,1450[1425000.990
[1450,1500[1475000.990
[1500,1550[1525000.990
[1550,1600[1575000.990
[1600,1650[1625000.990
[1650,1700[1675000.990
[1700,1750]172510.0112e-04


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 100 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 100 ; 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')
}