Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSun, 13 Nov 2011 13:13:31 -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/Nov/13/t1321208039qzt68e2tjz53q66.htm/, Retrieved Fri, 29 Mar 2024 04:41:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141830, Retrieved Fri, 29 Mar 2024 04:41:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact85
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [] [2011-11-13 17:59:35] [14511500b645ce5186c706473940fe45]
-   PD    [Histogram] [] [2011-11-13 18:13:31] [87b6e955a128bfb8d1e350b3ce0d281e] [Current]
Feedback Forum

Post a new message
Dataseries X:
11.54
25.47
34.78
29.21
43.9
33.47
55.10
48.13
33.25
25.33
26.98
88.74
36.54
11.78
29.11
32.47
36.99
27.55
18.55
14.33
8.78
40.55
22.63
20.47
60.03
50.14
30.63
36.99
27.55
18.55
14.33
21.63
36.12
23.69
54.12
45.16
69.41
41.96
13.25
26.98
88.74
36.54
11.78
29.11
32.47
55.17
17.66
19.64
44.47
50.17
21.63
36.12
23.69
33.25
25.33
26.98
14.33
8.78
17.66
19.64
13.25
16.17
9.66
20.45
24.21
19.65
21.25
33.64
25.44
60.74
71.33
55.21
66.23
19.65
23.52
25.64
19.33
20.64
18.98
15.67
20.00
11.47
28.65
24.14
19.87
17.65
30.54
28.57
29.65
31.22
32.00
19.64
41.88
45.98
34.12
30.88
25.96
20.33
26.98
27.12
21.66
27.96
28.63
29.10
34.25
39.77
41.23
14.10
19.54
8.78
24.55
34.87
31.47
21.65
19.77
9.23
7.55
22.44
16.89
47.55




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141830&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141830&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141830&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'Herman Ole Andreas Wold' @ wold.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[5,10[7.560.050.050.01
[10,15[12.5100.0833330.1333330.016667
[15,20[17.5180.150.2833330.03
[20,25[22.5180.150.4333330.03
[25,30[27.5220.1833330.6166670.036667
[30,35[32.5160.1333330.750.026667
[35,40[37.570.0583330.8083330.011667
[40,45[42.560.050.8583330.01
[45,50[47.540.0333330.8916670.006667
[50,55[52.530.0250.9166670.005
[55,60[57.530.0250.9416670.005
[60,65[62.520.0166670.9583330.003333
[65,70[67.520.0166670.9750.003333
[70,75[72.510.0083330.9833330.001667
[75,80[77.5000.9833330
[80,85[82.5000.9833330
[85,90]87.520.01666710.003333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[5,10[ & 7.5 & 6 & 0.05 & 0.05 & 0.01 \tabularnewline
[10,15[ & 12.5 & 10 & 0.083333 & 0.133333 & 0.016667 \tabularnewline
[15,20[ & 17.5 & 18 & 0.15 & 0.283333 & 0.03 \tabularnewline
[20,25[ & 22.5 & 18 & 0.15 & 0.433333 & 0.03 \tabularnewline
[25,30[ & 27.5 & 22 & 0.183333 & 0.616667 & 0.036667 \tabularnewline
[30,35[ & 32.5 & 16 & 0.133333 & 0.75 & 0.026667 \tabularnewline
[35,40[ & 37.5 & 7 & 0.058333 & 0.808333 & 0.011667 \tabularnewline
[40,45[ & 42.5 & 6 & 0.05 & 0.858333 & 0.01 \tabularnewline
[45,50[ & 47.5 & 4 & 0.033333 & 0.891667 & 0.006667 \tabularnewline
[50,55[ & 52.5 & 3 & 0.025 & 0.916667 & 0.005 \tabularnewline
[55,60[ & 57.5 & 3 & 0.025 & 0.941667 & 0.005 \tabularnewline
[60,65[ & 62.5 & 2 & 0.016667 & 0.958333 & 0.003333 \tabularnewline
[65,70[ & 67.5 & 2 & 0.016667 & 0.975 & 0.003333 \tabularnewline
[70,75[ & 72.5 & 1 & 0.008333 & 0.983333 & 0.001667 \tabularnewline
[75,80[ & 77.5 & 0 & 0 & 0.983333 & 0 \tabularnewline
[80,85[ & 82.5 & 0 & 0 & 0.983333 & 0 \tabularnewline
[85,90] & 87.5 & 2 & 0.016667 & 1 & 0.003333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141830&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][5,10[[/C][C]7.5[/C][C]6[/C][C]0.05[/C][C]0.05[/C][C]0.01[/C][/ROW]
[ROW][C][10,15[[/C][C]12.5[/C][C]10[/C][C]0.083333[/C][C]0.133333[/C][C]0.016667[/C][/ROW]
[ROW][C][15,20[[/C][C]17.5[/C][C]18[/C][C]0.15[/C][C]0.283333[/C][C]0.03[/C][/ROW]
[ROW][C][20,25[[/C][C]22.5[/C][C]18[/C][C]0.15[/C][C]0.433333[/C][C]0.03[/C][/ROW]
[ROW][C][25,30[[/C][C]27.5[/C][C]22[/C][C]0.183333[/C][C]0.616667[/C][C]0.036667[/C][/ROW]
[ROW][C][30,35[[/C][C]32.5[/C][C]16[/C][C]0.133333[/C][C]0.75[/C][C]0.026667[/C][/ROW]
[ROW][C][35,40[[/C][C]37.5[/C][C]7[/C][C]0.058333[/C][C]0.808333[/C][C]0.011667[/C][/ROW]
[ROW][C][40,45[[/C][C]42.5[/C][C]6[/C][C]0.05[/C][C]0.858333[/C][C]0.01[/C][/ROW]
[ROW][C][45,50[[/C][C]47.5[/C][C]4[/C][C]0.033333[/C][C]0.891667[/C][C]0.006667[/C][/ROW]
[ROW][C][50,55[[/C][C]52.5[/C][C]3[/C][C]0.025[/C][C]0.916667[/C][C]0.005[/C][/ROW]
[ROW][C][55,60[[/C][C]57.5[/C][C]3[/C][C]0.025[/C][C]0.941667[/C][C]0.005[/C][/ROW]
[ROW][C][60,65[[/C][C]62.5[/C][C]2[/C][C]0.016667[/C][C]0.958333[/C][C]0.003333[/C][/ROW]
[ROW][C][65,70[[/C][C]67.5[/C][C]2[/C][C]0.016667[/C][C]0.975[/C][C]0.003333[/C][/ROW]
[ROW][C][70,75[[/C][C]72.5[/C][C]1[/C][C]0.008333[/C][C]0.983333[/C][C]0.001667[/C][/ROW]
[ROW][C][75,80[[/C][C]77.5[/C][C]0[/C][C]0[/C][C]0.983333[/C][C]0[/C][/ROW]
[ROW][C][80,85[[/C][C]82.5[/C][C]0[/C][C]0[/C][C]0.983333[/C][C]0[/C][/ROW]
[ROW][C][85,90][/C][C]87.5[/C][C]2[/C][C]0.016667[/C][C]1[/C][C]0.003333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141830&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141830&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
[5,10[7.560.050.050.01
[10,15[12.5100.0833330.1333330.016667
[15,20[17.5180.150.2833330.03
[20,25[22.5180.150.4333330.03
[25,30[27.5220.1833330.6166670.036667
[30,35[32.5160.1333330.750.026667
[35,40[37.570.0583330.8083330.011667
[40,45[42.560.050.8583330.01
[45,50[47.540.0333330.8916670.006667
[50,55[52.530.0250.9166670.005
[55,60[57.530.0250.9416670.005
[60,65[62.520.0166670.9583330.003333
[65,70[67.520.0166670.9750.003333
[70,75[72.510.0083330.9833330.001667
[75,80[77.5000.9833330
[80,85[82.5000.9833330
[85,90]87.520.01666710.003333



Parameters (Session):
par1 = 0.2 ; 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.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')
}