Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 05 Mar 2009 07:14:10 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/05/t1236262492o92bw5rgpwi5w9z.htm/, Retrieved Thu, 18 Apr 2024 14:19:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38565, Retrieved Thu, 18 Apr 2024 14:19:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact181
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2009-02-19 13:12:51] [6ba5e630245e7429afb91391e726fb00]
-         [Histogram] [Histogram simulat...] [2009-03-05 14:14:10] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
88.6
95
96.3
83.3
96.9
103.4
99.3
103.8
113.4
111.5
114.2
90.6
90.8
96.4
90
92.1
97.2
95.1
88.5
91
90.5
75
66.3
66
68.4
70.6
83.9
90.1
90.6
87.1
90.8
94.1
99.8
96.8
87
96.3
107.1
115.2
106.1
89.5
91.3
97.6
100.7
104.6
94.7
101.8
102.5
105.3
110.3
109.8
117.3
118.8
131.3
125.9
133.1
147
145.8
164.4
149.8
137.7
151.7
156.8
180
180.4
170.4
191.6
199.5
218.2
217.5
205
194
199.3
219.3
211.1
215.2
240.2
242.2
240.7
255.4
253
218.2
203.7
205.6
215.6
188.5
202.9
214
230.3
230
241
259.6
247.8
270.3
289.7
322.7
315
320.2
329.5
360.6
382.2
435.4
464
468.8
403
351.6
252
188
146.5
152.9




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38565&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38565&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38565&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'George Udny Yule' @ 72.249.76.132







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[60,80[7050.0458720.0458720.002294
[80,100[90300.2752290.3211010.013761
[100,120[110170.1559630.4770640.007798
[120,140[13040.0366970.5137610.001835
[140,160[15070.064220.5779820.003211
[160,180[17020.0183490.596330.000917
[180,200[19080.0733940.6697250.00367
[200,220[210120.1100920.7798170.005505
[220,240[23020.0183490.7981650.000917
[240,260[25090.0825690.8807340.004128
[260,280[27010.0091740.8899080.000459
[280,300[29010.0091740.8990830.000459
[300,320[31010.0091740.9082570.000459
[320,340[33030.0275230.935780.001376
[340,360[35010.0091740.9449540.000459
[360,380[37010.0091740.9541280.000459
[380,400[39010.0091740.9633030.000459
[400,420[41010.0091740.9724770.000459
[420,440[43010.0091740.9816510.000459
[440,460[450000.9816510
[460,480]47020.01834910.000917

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[60,80[ & 70 & 5 & 0.045872 & 0.045872 & 0.002294 \tabularnewline
[80,100[ & 90 & 30 & 0.275229 & 0.321101 & 0.013761 \tabularnewline
[100,120[ & 110 & 17 & 0.155963 & 0.477064 & 0.007798 \tabularnewline
[120,140[ & 130 & 4 & 0.036697 & 0.513761 & 0.001835 \tabularnewline
[140,160[ & 150 & 7 & 0.06422 & 0.577982 & 0.003211 \tabularnewline
[160,180[ & 170 & 2 & 0.018349 & 0.59633 & 0.000917 \tabularnewline
[180,200[ & 190 & 8 & 0.073394 & 0.669725 & 0.00367 \tabularnewline
[200,220[ & 210 & 12 & 0.110092 & 0.779817 & 0.005505 \tabularnewline
[220,240[ & 230 & 2 & 0.018349 & 0.798165 & 0.000917 \tabularnewline
[240,260[ & 250 & 9 & 0.082569 & 0.880734 & 0.004128 \tabularnewline
[260,280[ & 270 & 1 & 0.009174 & 0.889908 & 0.000459 \tabularnewline
[280,300[ & 290 & 1 & 0.009174 & 0.899083 & 0.000459 \tabularnewline
[300,320[ & 310 & 1 & 0.009174 & 0.908257 & 0.000459 \tabularnewline
[320,340[ & 330 & 3 & 0.027523 & 0.93578 & 0.001376 \tabularnewline
[340,360[ & 350 & 1 & 0.009174 & 0.944954 & 0.000459 \tabularnewline
[360,380[ & 370 & 1 & 0.009174 & 0.954128 & 0.000459 \tabularnewline
[380,400[ & 390 & 1 & 0.009174 & 0.963303 & 0.000459 \tabularnewline
[400,420[ & 410 & 1 & 0.009174 & 0.972477 & 0.000459 \tabularnewline
[420,440[ & 430 & 1 & 0.009174 & 0.981651 & 0.000459 \tabularnewline
[440,460[ & 450 & 0 & 0 & 0.981651 & 0 \tabularnewline
[460,480] & 470 & 2 & 0.018349 & 1 & 0.000917 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38565&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][60,80[[/C][C]70[/C][C]5[/C][C]0.045872[/C][C]0.045872[/C][C]0.002294[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]30[/C][C]0.275229[/C][C]0.321101[/C][C]0.013761[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]17[/C][C]0.155963[/C][C]0.477064[/C][C]0.007798[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]4[/C][C]0.036697[/C][C]0.513761[/C][C]0.001835[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]7[/C][C]0.06422[/C][C]0.577982[/C][C]0.003211[/C][/ROW]
[ROW][C][160,180[[/C][C]170[/C][C]2[/C][C]0.018349[/C][C]0.59633[/C][C]0.000917[/C][/ROW]
[ROW][C][180,200[[/C][C]190[/C][C]8[/C][C]0.073394[/C][C]0.669725[/C][C]0.00367[/C][/ROW]
[ROW][C][200,220[[/C][C]210[/C][C]12[/C][C]0.110092[/C][C]0.779817[/C][C]0.005505[/C][/ROW]
[ROW][C][220,240[[/C][C]230[/C][C]2[/C][C]0.018349[/C][C]0.798165[/C][C]0.000917[/C][/ROW]
[ROW][C][240,260[[/C][C]250[/C][C]9[/C][C]0.082569[/C][C]0.880734[/C][C]0.004128[/C][/ROW]
[ROW][C][260,280[[/C][C]270[/C][C]1[/C][C]0.009174[/C][C]0.889908[/C][C]0.000459[/C][/ROW]
[ROW][C][280,300[[/C][C]290[/C][C]1[/C][C]0.009174[/C][C]0.899083[/C][C]0.000459[/C][/ROW]
[ROW][C][300,320[[/C][C]310[/C][C]1[/C][C]0.009174[/C][C]0.908257[/C][C]0.000459[/C][/ROW]
[ROW][C][320,340[[/C][C]330[/C][C]3[/C][C]0.027523[/C][C]0.93578[/C][C]0.001376[/C][/ROW]
[ROW][C][340,360[[/C][C]350[/C][C]1[/C][C]0.009174[/C][C]0.944954[/C][C]0.000459[/C][/ROW]
[ROW][C][360,380[[/C][C]370[/C][C]1[/C][C]0.009174[/C][C]0.954128[/C][C]0.000459[/C][/ROW]
[ROW][C][380,400[[/C][C]390[/C][C]1[/C][C]0.009174[/C][C]0.963303[/C][C]0.000459[/C][/ROW]
[ROW][C][400,420[[/C][C]410[/C][C]1[/C][C]0.009174[/C][C]0.972477[/C][C]0.000459[/C][/ROW]
[ROW][C][420,440[[/C][C]430[/C][C]1[/C][C]0.009174[/C][C]0.981651[/C][C]0.000459[/C][/ROW]
[ROW][C][440,460[[/C][C]450[/C][C]0[/C][C]0[/C][C]0.981651[/C][C]0[/C][/ROW]
[ROW][C][460,480][/C][C]470[/C][C]2[/C][C]0.018349[/C][C]1[/C][C]0.000917[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38565&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38565&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
[60,80[7050.0458720.0458720.002294
[80,100[90300.2752290.3211010.013761
[100,120[110170.1559630.4770640.007798
[120,140[13040.0366970.5137610.001835
[140,160[15070.064220.5779820.003211
[160,180[17020.0183490.596330.000917
[180,200[19080.0733940.6697250.00367
[200,220[210120.1100920.7798170.005505
[220,240[23020.0183490.7981650.000917
[240,260[25090.0825690.8807340.004128
[260,280[27010.0091740.8899080.000459
[280,300[29010.0091740.8990830.000459
[300,320[31010.0091740.9082570.000459
[320,340[33030.0275230.935780.001376
[340,360[35010.0091740.9449540.000459
[360,380[37010.0091740.9541280.000459
[380,400[39010.0091740.9633030.000459
[400,420[41010.0091740.9724770.000459
[420,440[43010.0091740.9816510.000459
[440,460[450000.9816510
[460,480]47020.01834910.000917



Parameters (Session):
par1 = 20 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 20 ; 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.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)
}
dev.off()
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')