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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, 20 Oct 2008 12:20:11 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/20/t1224527025bknnwkdwdp388bh.htm/, Retrieved Sun, 19 May 2024 14:38:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17848, Retrieved Sun, 19 May 2024 14:38:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Werkloosheid VLAA...] [2008-10-19 10:39:43] [46c5a5fbda57fdfa1d4ef48658f82a0c]
- RMP   [Histogram] [Histogram - Werkl...] [2008-10-19 11:26:30] [46c5a5fbda57fdfa1d4ef48658f82a0c]
F   PD      [Histogram] [Financiële situat...] [2008-10-20 18:20:11] [dbfa7caa6871c163dec68ca05d48bb00] [Current]
-    D        [Histogram] [Economische situa...] [2008-10-20 18:35:50] [29647dffafb5b58c12a48dbf6cba2b57]
-    D          [Histogram] [Ontwikkeling van ...] [2008-10-20 18:46:26] [29647dffafb5b58c12a48dbf6cba2b57]
-    D            [Histogram] [Prijsindexcijfers...] [2008-10-20 18:51:00] [29647dffafb5b58c12a48dbf6cba2b57]
Feedback Forum
2008-10-27 20:21:47 [Thomas Baken] [reply] 
De studente heeft haar histogram goed geanalyseerd, we kunnen hier inderdaad spreken over regelmaat binnen de verschillende categorieën en over een longtail!

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13
15
10
11
13
11
11
10
11
12
11
10
12
13
12
14
13
17
14
14
16
16
13
15
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13
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12
15
13
12
12
14
13
14
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13
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17
20
16
17
17
17
16
15
15
14
10
9
7
8
7
8
5
6
4
4
8

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=17848&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=17848&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17848&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
[4,6[530.0410960.0410960.020548
[6,8[730.0410960.0821920.020548
[8,10[940.0547950.1369860.027397
[10,12[1190.1232880.2602740.061644
[12,14[13150.2054790.4657530.10274
[14,16[15190.2602740.7260270.130137
[16,18[17160.2191780.9452050.109589
[18,20]1940.05479510.027397

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4,6[ & 5 & 3 & 0.041096 & 0.041096 & 0.020548 \tabularnewline
[6,8[ & 7 & 3 & 0.041096 & 0.082192 & 0.020548 \tabularnewline
[8,10[ & 9 & 4 & 0.054795 & 0.136986 & 0.027397 \tabularnewline
[10,12[ & 11 & 9 & 0.123288 & 0.260274 & 0.061644 \tabularnewline
[12,14[ & 13 & 15 & 0.205479 & 0.465753 & 0.10274 \tabularnewline
[14,16[ & 15 & 19 & 0.260274 & 0.726027 & 0.130137 \tabularnewline
[16,18[ & 17 & 16 & 0.219178 & 0.945205 & 0.109589 \tabularnewline
[18,20] & 19 & 4 & 0.054795 & 1 & 0.027397 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17848&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][4,6[[/C][C]5[/C][C]3[/C][C]0.041096[/C][C]0.041096[/C][C]0.020548[/C][/ROW]
[ROW][C][6,8[[/C][C]7[/C][C]3[/C][C]0.041096[/C][C]0.082192[/C][C]0.020548[/C][/ROW]
[ROW][C][8,10[[/C][C]9[/C][C]4[/C][C]0.054795[/C][C]0.136986[/C][C]0.027397[/C][/ROW]
[ROW][C][10,12[[/C][C]11[/C][C]9[/C][C]0.123288[/C][C]0.260274[/C][C]0.061644[/C][/ROW]
[ROW][C][12,14[[/C][C]13[/C][C]15[/C][C]0.205479[/C][C]0.465753[/C][C]0.10274[/C][/ROW]
[ROW][C][14,16[[/C][C]15[/C][C]19[/C][C]0.260274[/C][C]0.726027[/C][C]0.130137[/C][/ROW]
[ROW][C][16,18[[/C][C]17[/C][C]16[/C][C]0.219178[/C][C]0.945205[/C][C]0.109589[/C][/ROW]
[ROW][C][18,20][/C][C]19[/C][C]4[/C][C]0.054795[/C][C]1[/C][C]0.027397[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17848&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17848&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
[4,6[530.0410960.0410960.020548
[6,8[730.0410960.0821920.020548
[8,10[940.0547950.1369860.027397
[10,12[1190.1232880.2602740.061644
[12,14[13150.2054790.4657530.10274
[14,16[15190.2602740.7260270.130137
[16,18[17160.2191780.9452050.109589
[18,20]1940.05479510.027397


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Investeringen ; par3 = Investeringen ;
Parameters (R input):
par1 = 10 ; 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')