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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 computationMon, 07 Oct 2013 14:17:25 -0400
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/Oct/07/t13811699167nv1ggjire7yjlo.htm/, Retrieved Fri, 03 May 2024 14:09:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213721, Retrieved Fri, 03 May 2024 14:09:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Stem-and-leaf Plot] [] [2013-10-01 09:27:37] [0307e7a6407eb638caabc417e3a6b260]
- R  D  [Stem-and-leaf Plot] [WS 1 Vraag 2] [2013-10-07 18:05:49] [1601e79f56036968990446024a6397e5]
- RMPD      [Histogram] [WS 1 vraag 3] [2013-10-07 18:17:25] [6b92c6b72208b98f35c650918bf39b5d] [Current]
Feedback Forum

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
645.285
197.549
308.174
86.58
242.205
238.502
187.881
140.321
440.31
421.403
218.761
1305.923
137.55
262.517
348.821
150.034
64.016
261.596
259.7
171.26
203.077
249.148
211.655
252.64
438.555
239.89
401.915
216.886
184.641
380.155
653.641
313.906
366.936
236.302
229.641
235.577
103.898
263.906
241.171
216.548
295.281
193.299
204.386
257.567
136.813
240.755
59.609
213.511
380.531
242.344
250.407
183.613
191.835
266.793
246.542
330.563
403.556
208.108
324.04
308.532
199.297
200.156
262.875
287.069
190.157
199.746
265.777
435.956
72.844
756.46
206.771
4202.361
401.422
216.046
39.047
441.437

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'Sir Maurice George Kendall' @ kendall.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 Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213721&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213721&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213721&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'Sir Maurice George Kendall' @ kendall.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[0,100[5050.0657890.0657890.000658
[100,200[150150.1973680.2631580.001974
[200,300[250340.4473680.7105260.004474
[300,400[35090.1184210.8289470.001184
[400,500[45080.1052630.9342110.001053
[500,600[550000.9342110
[600,700[65020.0263160.9605260.000263
[700,800[75010.0131580.9736840.000132
[800,900[850000.9736840
[900,1000[950000.9736840
[1000,1100[1050000.9736840
[1100,1200[1150000.9736840
[1200,1300[1250000.9736840
[1300,1400[135010.0131580.9868420.000132
[1400,1500[1450000.9868420
[1500,1600[1550000.9868420
[1600,1700[1650000.9868420
[1700,1800[1750000.9868420
[1800,1900[1850000.9868420
[1900,2000[1950000.9868420
[2000,2100[2050000.9868420
[2100,2200[2150000.9868420
[2200,2300[2250000.9868420
[2300,2400[2350000.9868420
[2400,2500[2450000.9868420
[2500,2600[2550000.9868420
[2600,2700[2650000.9868420
[2700,2800[2750000.9868420
[2800,2900[2850000.9868420
[2900,3000[2950000.9868420
[3000,3100[3050000.9868420
[3100,3200[3150000.9868420
[3200,3300[3250000.9868420
[3300,3400[3350000.9868420
[3400,3500[3450000.9868420
[3500,3600[3550000.9868420
[3600,3700[3650000.9868420
[3700,3800[3750000.9868420
[3800,3900[3850000.9868420
[3900,4000[3950000.9868420
[4000,4100[4050000.9868420
[4100,4200[4150000.9868420
[4200,4300]425010.01315810.000132

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[0,100[ & 50 & 5 & 0.065789 & 0.065789 & 0.000658 \tabularnewline
[100,200[ & 150 & 15 & 0.197368 & 0.263158 & 0.001974 \tabularnewline
[200,300[ & 250 & 34 & 0.447368 & 0.710526 & 0.004474 \tabularnewline
[300,400[ & 350 & 9 & 0.118421 & 0.828947 & 0.001184 \tabularnewline
[400,500[ & 450 & 8 & 0.105263 & 0.934211 & 0.001053 \tabularnewline
[500,600[ & 550 & 0 & 0 & 0.934211 & 0 \tabularnewline
[600,700[ & 650 & 2 & 0.026316 & 0.960526 & 0.000263 \tabularnewline
[700,800[ & 750 & 1 & 0.013158 & 0.973684 & 0.000132 \tabularnewline
[800,900[ & 850 & 0 & 0 & 0.973684 & 0 \tabularnewline
[900,1000[ & 950 & 0 & 0 & 0.973684 & 0 \tabularnewline
[1000,1100[ & 1050 & 0 & 0 & 0.973684 & 0 \tabularnewline
[1100,1200[ & 1150 & 0 & 0 & 0.973684 & 0 \tabularnewline
[1200,1300[ & 1250 & 0 & 0 & 0.973684 & 0 \tabularnewline
[1300,1400[ & 1350 & 1 & 0.013158 & 0.986842 & 0.000132 \tabularnewline
[1400,1500[ & 1450 & 0 & 0 & 0.986842 & 0 \tabularnewline
[1500,1600[ & 1550 & 0 & 0 & 0.986842 & 0 \tabularnewline
[1600,1700[ & 1650 & 0 & 0 & 0.986842 & 0 \tabularnewline
[1700,1800[ & 1750 & 0 & 0 & 0.986842 & 0 \tabularnewline
[1800,1900[ & 1850 & 0 & 0 & 0.986842 & 0 \tabularnewline
[1900,2000[ & 1950 & 0 & 0 & 0.986842 & 0 \tabularnewline
[2000,2100[ & 2050 & 0 & 0 & 0.986842 & 0 \tabularnewline
[2100,2200[ & 2150 & 0 & 0 & 0.986842 & 0 \tabularnewline
[2200,2300[ & 2250 & 0 & 0 & 0.986842 & 0 \tabularnewline
[2300,2400[ & 2350 & 0 & 0 & 0.986842 & 0 \tabularnewline
[2400,2500[ & 2450 & 0 & 0 & 0.986842 & 0 \tabularnewline
[2500,2600[ & 2550 & 0 & 0 & 0.986842 & 0 \tabularnewline
[2600,2700[ & 2650 & 0 & 0 & 0.986842 & 0 \tabularnewline
[2700,2800[ & 2750 & 0 & 0 & 0.986842 & 0 \tabularnewline
[2800,2900[ & 2850 & 0 & 0 & 0.986842 & 0 \tabularnewline
[2900,3000[ & 2950 & 0 & 0 & 0.986842 & 0 \tabularnewline
[3000,3100[ & 3050 & 0 & 0 & 0.986842 & 0 \tabularnewline
[3100,3200[ & 3150 & 0 & 0 & 0.986842 & 0 \tabularnewline
[3200,3300[ & 3250 & 0 & 0 & 0.986842 & 0 \tabularnewline
[3300,3400[ & 3350 & 0 & 0 & 0.986842 & 0 \tabularnewline
[3400,3500[ & 3450 & 0 & 0 & 0.986842 & 0 \tabularnewline
[3500,3600[ & 3550 & 0 & 0 & 0.986842 & 0 \tabularnewline
[3600,3700[ & 3650 & 0 & 0 & 0.986842 & 0 \tabularnewline
[3700,3800[ & 3750 & 0 & 0 & 0.986842 & 0 \tabularnewline
[3800,3900[ & 3850 & 0 & 0 & 0.986842 & 0 \tabularnewline
[3900,4000[ & 3950 & 0 & 0 & 0.986842 & 0 \tabularnewline
[4000,4100[ & 4050 & 0 & 0 & 0.986842 & 0 \tabularnewline
[4100,4200[ & 4150 & 0 & 0 & 0.986842 & 0 \tabularnewline
[4200,4300] & 4250 & 1 & 0.013158 & 1 & 0.000132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213721&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][0,100[[/C][C]50[/C][C]5[/C][C]0.065789[/C][C]0.065789[/C][C]0.000658[/C][/ROW]
[ROW][C][100,200[[/C][C]150[/C][C]15[/C][C]0.197368[/C][C]0.263158[/C][C]0.001974[/C][/ROW]
[ROW][C][200,300[[/C][C]250[/C][C]34[/C][C]0.447368[/C][C]0.710526[/C][C]0.004474[/C][/ROW]
[ROW][C][300,400[[/C][C]350[/C][C]9[/C][C]0.118421[/C][C]0.828947[/C][C]0.001184[/C][/ROW]
[ROW][C][400,500[[/C][C]450[/C][C]8[/C][C]0.105263[/C][C]0.934211[/C][C]0.001053[/C][/ROW]
[ROW][C][500,600[[/C][C]550[/C][C]0[/C][C]0[/C][C]0.934211[/C][C]0[/C][/ROW]
[ROW][C][600,700[[/C][C]650[/C][C]2[/C][C]0.026316[/C][C]0.960526[/C][C]0.000263[/C][/ROW]
[ROW][C][700,800[[/C][C]750[/C][C]1[/C][C]0.013158[/C][C]0.973684[/C][C]0.000132[/C][/ROW]
[ROW][C][800,900[[/C][C]850[/C][C]0[/C][C]0[/C][C]0.973684[/C][C]0[/C][/ROW]
[ROW][C][900,1000[[/C][C]950[/C][C]0[/C][C]0[/C][C]0.973684[/C][C]0[/C][/ROW]
[ROW][C][1000,1100[[/C][C]1050[/C][C]0[/C][C]0[/C][C]0.973684[/C][C]0[/C][/ROW]
[ROW][C][1100,1200[[/C][C]1150[/C][C]0[/C][C]0[/C][C]0.973684[/C][C]0[/C][/ROW]
[ROW][C][1200,1300[[/C][C]1250[/C][C]0[/C][C]0[/C][C]0.973684[/C][C]0[/C][/ROW]
[ROW][C][1300,1400[[/C][C]1350[/C][C]1[/C][C]0.013158[/C][C]0.986842[/C][C]0.000132[/C][/ROW]
[ROW][C][1400,1500[[/C][C]1450[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][1500,1600[[/C][C]1550[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][1600,1700[[/C][C]1650[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][1700,1800[[/C][C]1750[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][1800,1900[[/C][C]1850[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][1900,2000[[/C][C]1950[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][2000,2100[[/C][C]2050[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][2100,2200[[/C][C]2150[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][2200,2300[[/C][C]2250[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][2300,2400[[/C][C]2350[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][2400,2500[[/C][C]2450[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][2500,2600[[/C][C]2550[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][2600,2700[[/C][C]2650[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][2700,2800[[/C][C]2750[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][2800,2900[[/C][C]2850[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][2900,3000[[/C][C]2950[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][3000,3100[[/C][C]3050[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][3100,3200[[/C][C]3150[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][3200,3300[[/C][C]3250[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][3300,3400[[/C][C]3350[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][3400,3500[[/C][C]3450[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][3500,3600[[/C][C]3550[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][3600,3700[[/C][C]3650[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][3700,3800[[/C][C]3750[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][3800,3900[[/C][C]3850[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][3900,4000[[/C][C]3950[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][4000,4100[[/C][C]4050[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][4100,4200[[/C][C]4150[/C][C]0[/C][C]0[/C][C]0.986842[/C][C]0[/C][/ROW]
[ROW][C][4200,4300][/C][C]4250[/C][C]1[/C][C]0.013158[/C][C]1[/C][C]0.000132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213721&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213721&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
[0,100[5050.0657890.0657890.000658
[100,200[150150.1973680.2631580.001974
[200,300[250340.4473680.7105260.004474
[300,400[35090.1184210.8289470.001184
[400,500[45080.1052630.9342110.001053
[500,600[550000.9342110
[600,700[65020.0263160.9605260.000263
[700,800[75010.0131580.9736840.000132
[800,900[850000.9736840
[900,1000[950000.9736840
[1000,1100[1050000.9736840
[1100,1200[1150000.9736840
[1200,1300[1250000.9736840
[1300,1400[135010.0131580.9868420.000132
[1400,1500[1450000.9868420
[1500,1600[1550000.9868420
[1600,1700[1650000.9868420
[1700,1800[1750000.9868420
[1800,1900[1850000.9868420
[1900,2000[1950000.9868420
[2000,2100[2050000.9868420
[2100,2200[2150000.9868420
[2200,2300[2250000.9868420
[2300,2400[2350000.9868420
[2400,2500[2450000.9868420
[2500,2600[2550000.9868420
[2600,2700[2650000.9868420
[2700,2800[2750000.9868420
[2800,2900[2850000.9868420
[2900,3000[2950000.9868420
[3000,3100[3050000.9868420
[3100,3200[3150000.9868420
[3200,3300[3250000.9868420
[3300,3400[3350000.9868420
[3400,3500[3450000.9868420
[3500,3600[3550000.9868420
[3600,3700[3650000.9868420
[3700,3800[3750000.9868420
[3800,3900[3850000.9868420
[3900,4000[3950000.9868420
[4000,4100[4050000.9868420
[4100,4200[4150000.9868420
[4200,4300]425010.01315810.000132


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 30 ; 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):
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')
}