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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 02 Mar 2010 12:05:53 -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/2010/Mar/02/t12675568078ac4k7ezmn0e4lg.htm/, Retrieved Thu, 12 Sep 2024 15:05:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73787, Retrieved Thu, 12 Sep 2024 15:05:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact228

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [Paper - Aantal li...] [2010-02-10 20:16:05] [e15a6b3818dec5b4f77756f13ead7d3e]
-   P     [Histogram] [paper - Liter Ros...] [2010-03-02 19:05:53] [f3cdcbccc174fec74ce5399cef7e1772] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
112
118
129
99
116
168
118
129
205
147
150
267
126
129
124
97
102
127
222
214
118
141
154
226
89
77
82
97
127
121
117
117
106
112
134
169
75
108
115
85
101
108
109
124
105
95
135
164
88
85
112
87
91
87
87
142
95
108
139
159
61
82
124
93
108
75
87
103
90
108
123
129
57
65
67
71
76
67
110
118
99
85
107
141
58
65
70
86
93
74
87
73
101
100
96
157
63
115
70
66
67
83
79
77
102
116
100
135
71
60
89
74
73
91
86
74
87
87
109
137
43
69
73
77
69
76
78
70
83
65
110
132
54
55
66
65
60
65
96
55
71
63
74
106
34
47
56
53
53
55
67
52
46
51
58
91
33
40
46
45
41
55
57
54
46
52
48
77
30
35
42
48
44
45

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73787&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73787&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73787&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[30,40[3540.0229890.0229890.002299
[40,50[45130.0747130.0977010.007471
[50,60[55160.0919540.1896550.009195
[60,70[65180.1034480.2931030.010345
[70,80[75230.1321840.4252870.013218
[80,90[85190.1091950.5344830.01092
[90,100[95140.080460.6149430.008046
[100,110[105180.1034480.7183910.010345
[110,120[115150.0862070.8045980.008621
[120,130[125120.0689660.8735630.006897
[130,140[13560.0344830.9080460.003448
[140,150[14540.0229890.9310340.002299
[150,160[15540.0229890.9540230.002299
[160,170[16530.0172410.9712640.001724
[170,180[175000.9712640
[180,190[185000.9712640
[190,200[195000.9712640
[200,210[20510.0057470.9770110.000575
[210,220[21510.0057470.9827590.000575
[220,230[22520.0114940.9942530.001149
[230,240[235000.9942530
[240,250[245000.9942530
[250,260[255000.9942530
[260,270]26510.00574710.000575

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[30,40[ & 35 & 4 & 0.022989 & 0.022989 & 0.002299 \tabularnewline
[40,50[ & 45 & 13 & 0.074713 & 0.097701 & 0.007471 \tabularnewline
[50,60[ & 55 & 16 & 0.091954 & 0.189655 & 0.009195 \tabularnewline
[60,70[ & 65 & 18 & 0.103448 & 0.293103 & 0.010345 \tabularnewline
[70,80[ & 75 & 23 & 0.132184 & 0.425287 & 0.013218 \tabularnewline
[80,90[ & 85 & 19 & 0.109195 & 0.534483 & 0.01092 \tabularnewline
[90,100[ & 95 & 14 & 0.08046 & 0.614943 & 0.008046 \tabularnewline
[100,110[ & 105 & 18 & 0.103448 & 0.718391 & 0.010345 \tabularnewline
[110,120[ & 115 & 15 & 0.086207 & 0.804598 & 0.008621 \tabularnewline
[120,130[ & 125 & 12 & 0.068966 & 0.873563 & 0.006897 \tabularnewline
[130,140[ & 135 & 6 & 0.034483 & 0.908046 & 0.003448 \tabularnewline
[140,150[ & 145 & 4 & 0.022989 & 0.931034 & 0.002299 \tabularnewline
[150,160[ & 155 & 4 & 0.022989 & 0.954023 & 0.002299 \tabularnewline
[160,170[ & 165 & 3 & 0.017241 & 0.971264 & 0.001724 \tabularnewline
[170,180[ & 175 & 0 & 0 & 0.971264 & 0 \tabularnewline
[180,190[ & 185 & 0 & 0 & 0.971264 & 0 \tabularnewline
[190,200[ & 195 & 0 & 0 & 0.971264 & 0 \tabularnewline
[200,210[ & 205 & 1 & 0.005747 & 0.977011 & 0.000575 \tabularnewline
[210,220[ & 215 & 1 & 0.005747 & 0.982759 & 0.000575 \tabularnewline
[220,230[ & 225 & 2 & 0.011494 & 0.994253 & 0.001149 \tabularnewline
[230,240[ & 235 & 0 & 0 & 0.994253 & 0 \tabularnewline
[240,250[ & 245 & 0 & 0 & 0.994253 & 0 \tabularnewline
[250,260[ & 255 & 0 & 0 & 0.994253 & 0 \tabularnewline
[260,270] & 265 & 1 & 0.005747 & 1 & 0.000575 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73787&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][30,40[[/C][C]35[/C][C]4[/C][C]0.022989[/C][C]0.022989[/C][C]0.002299[/C][/ROW]
[ROW][C][40,50[[/C][C]45[/C][C]13[/C][C]0.074713[/C][C]0.097701[/C][C]0.007471[/C][/ROW]
[ROW][C][50,60[[/C][C]55[/C][C]16[/C][C]0.091954[/C][C]0.189655[/C][C]0.009195[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]18[/C][C]0.103448[/C][C]0.293103[/C][C]0.010345[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]23[/C][C]0.132184[/C][C]0.425287[/C][C]0.013218[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]19[/C][C]0.109195[/C][C]0.534483[/C][C]0.01092[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]14[/C][C]0.08046[/C][C]0.614943[/C][C]0.008046[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]18[/C][C]0.103448[/C][C]0.718391[/C][C]0.010345[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]15[/C][C]0.086207[/C][C]0.804598[/C][C]0.008621[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]12[/C][C]0.068966[/C][C]0.873563[/C][C]0.006897[/C][/ROW]
[ROW][C][130,140[[/C][C]135[/C][C]6[/C][C]0.034483[/C][C]0.908046[/C][C]0.003448[/C][/ROW]
[ROW][C][140,150[[/C][C]145[/C][C]4[/C][C]0.022989[/C][C]0.931034[/C][C]0.002299[/C][/ROW]
[ROW][C][150,160[[/C][C]155[/C][C]4[/C][C]0.022989[/C][C]0.954023[/C][C]0.002299[/C][/ROW]
[ROW][C][160,170[[/C][C]165[/C][C]3[/C][C]0.017241[/C][C]0.971264[/C][C]0.001724[/C][/ROW]
[ROW][C][170,180[[/C][C]175[/C][C]0[/C][C]0[/C][C]0.971264[/C][C]0[/C][/ROW]
[ROW][C][180,190[[/C][C]185[/C][C]0[/C][C]0[/C][C]0.971264[/C][C]0[/C][/ROW]
[ROW][C][190,200[[/C][C]195[/C][C]0[/C][C]0[/C][C]0.971264[/C][C]0[/C][/ROW]
[ROW][C][200,210[[/C][C]205[/C][C]1[/C][C]0.005747[/C][C]0.977011[/C][C]0.000575[/C][/ROW]
[ROW][C][210,220[[/C][C]215[/C][C]1[/C][C]0.005747[/C][C]0.982759[/C][C]0.000575[/C][/ROW]
[ROW][C][220,230[[/C][C]225[/C][C]2[/C][C]0.011494[/C][C]0.994253[/C][C]0.001149[/C][/ROW]
[ROW][C][230,240[[/C][C]235[/C][C]0[/C][C]0[/C][C]0.994253[/C][C]0[/C][/ROW]
[ROW][C][240,250[[/C][C]245[/C][C]0[/C][C]0[/C][C]0.994253[/C][C]0[/C][/ROW]
[ROW][C][250,260[[/C][C]255[/C][C]0[/C][C]0[/C][C]0.994253[/C][C]0[/C][/ROW]
[ROW][C][260,270][/C][C]265[/C][C]1[/C][C]0.005747[/C][C]1[/C][C]0.000575[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73787&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73787&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
[30,40[3540.0229890.0229890.002299
[40,50[45130.0747130.0977010.007471
[50,60[55160.0919540.1896550.009195
[60,70[65180.1034480.2931030.010345
[70,80[75230.1321840.4252870.013218
[80,90[85190.1091950.5344830.01092
[90,100[95140.080460.6149430.008046
[100,110[105180.1034480.7183910.010345
[110,120[115150.0862070.8045980.008621
[120,130[125120.0689660.8735630.006897
[130,140[13560.0344830.9080460.003448
[140,150[14540.0229890.9310340.002299
[150,160[15540.0229890.9540230.002299
[160,170[16530.0172410.9712640.001724
[170,180[175000.9712640
[180,190[185000.9712640
[190,200[195000.9712640
[200,210[20510.0057470.9770110.000575
[210,220[21510.0057470.9827590.000575
[220,230[22520.0114940.9942530.001149
[230,240[235000.9942530
[240,250[245000.9942530
[250,260[255000.9942530
[260,270]26510.00574710.000575


Figures (Output of Computation)

Input Parameters & R Code

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')