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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 12:46:26 -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/t1224528433s5pre5yi63km9hk.htm/, Retrieved Sun, 19 May 2024 14:42:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17886, Retrieved Sun, 19 May 2024 14:42:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139

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] [29647dffafb5b58c12a48dbf6cba2b57]
-    D      [Histogram] [Economische situa...] [2008-10-20 18:35:50] [29647dffafb5b58c12a48dbf6cba2b57]
-    D          [Histogram] [Ontwikkeling van ...] [2008-10-20 18:46:26] [dbfa7caa6871c163dec68ca05d48bb00] [Current]
-    D            [Histogram] [Prijsindexcijfers...] [2008-10-20 18:51:00] [29647dffafb5b58c12a48dbf6cba2b57]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
46
48
48
48
45
44
45
45
45
42
43
50
46
46
45
49
46
45
49
47
45
48
51
48
49
51
54
52
52
53
51
55
53
51
52
54
58
57
52
50
53
50
50
51
53
49
54
57
58
56
60
55
54
52
55
56
54
53
59
62
63
64
75
77
79
77
82
83
81
78
79
79
73

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17886&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17886&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17886&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[40,45[42.530.0410960.0410960.008219
[45,50[47.5210.2876710.3287670.057534
[50,55[52.5240.3287670.6575340.065753
[55,60[57.5100.1369860.7945210.027397
[60,65[62.540.0547950.8493150.010959
[65,70[67.5000.8493150
[70,75[72.510.0136990.8630140.00274
[75,80[77.570.095890.9589040.019178
[80,85]82.530.04109610.008219

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[40,45[ & 42.5 & 3 & 0.041096 & 0.041096 & 0.008219 \tabularnewline
[45,50[ & 47.5 & 21 & 0.287671 & 0.328767 & 0.057534 \tabularnewline
[50,55[ & 52.5 & 24 & 0.328767 & 0.657534 & 0.065753 \tabularnewline
[55,60[ & 57.5 & 10 & 0.136986 & 0.794521 & 0.027397 \tabularnewline
[60,65[ & 62.5 & 4 & 0.054795 & 0.849315 & 0.010959 \tabularnewline
[65,70[ & 67.5 & 0 & 0 & 0.849315 & 0 \tabularnewline
[70,75[ & 72.5 & 1 & 0.013699 & 0.863014 & 0.00274 \tabularnewline
[75,80[ & 77.5 & 7 & 0.09589 & 0.958904 & 0.019178 \tabularnewline
[80,85] & 82.5 & 3 & 0.041096 & 1 & 0.008219 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17886&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][40,45[[/C][C]42.5[/C][C]3[/C][C]0.041096[/C][C]0.041096[/C][C]0.008219[/C][/ROW]
[ROW][C][45,50[[/C][C]47.5[/C][C]21[/C][C]0.287671[/C][C]0.328767[/C][C]0.057534[/C][/ROW]
[ROW][C][50,55[[/C][C]52.5[/C][C]24[/C][C]0.328767[/C][C]0.657534[/C][C]0.065753[/C][/ROW]
[ROW][C][55,60[[/C][C]57.5[/C][C]10[/C][C]0.136986[/C][C]0.794521[/C][C]0.027397[/C][/ROW]
[ROW][C][60,65[[/C][C]62.5[/C][C]4[/C][C]0.054795[/C][C]0.849315[/C][C]0.010959[/C][/ROW]
[ROW][C][65,70[[/C][C]67.5[/C][C]0[/C][C]0[/C][C]0.849315[/C][C]0[/C][/ROW]
[ROW][C][70,75[[/C][C]72.5[/C][C]1[/C][C]0.013699[/C][C]0.863014[/C][C]0.00274[/C][/ROW]
[ROW][C][75,80[[/C][C]77.5[/C][C]7[/C][C]0.09589[/C][C]0.958904[/C][C]0.019178[/C][/ROW]
[ROW][C][80,85][/C][C]82.5[/C][C]3[/C][C]0.041096[/C][C]1[/C][C]0.008219[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17886&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17886&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
[40,45[42.530.0410960.0410960.008219
[45,50[47.5210.2876710.3287670.057534
[50,55[52.5240.3287670.6575340.065753
[55,60[57.5100.1369860.7945210.027397
[60,65[62.540.0547950.8493150.010959
[65,70[67.5000.8493150
[70,75[72.510.0136990.8630140.00274
[75,80[77.570.095890.9589040.019178
[80,85]82.530.04109610.008219


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Investeringen ; par3 = Investeringen ;
Parameters (R input):
par1 = 9 ; 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')