Free Statistics

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Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 02 Oct 2009 02:28:32 -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/2009/Oct/02/t1254472466fe3c35gqmytpggi.htm/, Retrieved Fri, 03 May 2024 04:49:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=43313, Retrieved Fri, 03 May 2024 04:49:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact253
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Tijdreeks Koffie] [2009-09-22 09:59:11] [8c7c3dc396eba234a49aa27457495c03]
- RMP   [Histogram] [Frequentietabel K...] [2009-09-22 10:11:12] [8c7c3dc396eba234a49aa27457495c03]
-           [Histogram] [Frequentietabel k...] [2009-10-02 08:28:32] [c660e49618fa34ae630017997cd32f13] [Current]
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Dataseries X:
8.82
8.8
8.82
8.58
8.54
8.42
8.43
8.44
8.09
7.69
7.56
7.54
7.4
7.39
7.37
7.31
7.35
7.26
7.37
7.35
7.33
7.32
7.31
7.33
7.32
7.27
7.48
7.7
7.77
7.8
7.84
7.81
7.78
7.82
7.8
7.81
7.8
7.66
7.41
7.35
7.39
7.32
7.32
7.3
7.29
7.26
7.22
7.21
7.21
7.21
7.2
7.19
7.18
7.12
7.12
7.07
7.08
7.05
7.06
7.07
7.08
7.08
7.09
7.07
7.06
6.99
6.99
6.99
6.98
6.96
6.95
6.91
6.91
6.87
6.91
6.89
6.88
6.9
6.91
6.85
6.86
6.82
6.8
6.83
6.84
6.89
7.14
7.21
7.25
7.31
7.3
7.48
7.49
7.4
7.44
7.42
7.14
7.24
7.33
7.61
7.66
7.69
7.7
7.68
7.71
7.71
7.72
7.68
7.72
7.74
7.76
7.9
7.97
7.96
7.95
7.97
7.93
7.99
7.96
7.92
7.97
7.98
8
8.04
8.17
8.29
8.26
8.3
8.32
8.28
8.27
8.32
8.31
8.34
8.32
8.36
8.33




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=43313&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]0 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=43313&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43313&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 time0 seconds
R Server'George Udny Yule' @ 72.249.76.132







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[6.8,7[6.9210.1532850.1532850.766423
[7,7.2[7.1160.1167880.2700730.583942
[7.2,7.4[7.3310.2262770.496351.131387
[7.4,7.6[7.5100.0729930.5693430.364964
[7.6,7.8[7.7170.1240880.6934310.620438
[7.8,8[7.9180.1313870.8248180.656934
[8,8.2[8.140.0291970.8540150.145985
[8.2,8.4[8.3120.0875910.9416060.437956
[8.4,8.6[8.550.0364960.9781020.182482
[8.6,8.8[8.7000.9781020
[8.8,9]8.930.02189810.109489

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[6.8,7[ & 6.9 & 21 & 0.153285 & 0.153285 & 0.766423 \tabularnewline
[7,7.2[ & 7.1 & 16 & 0.116788 & 0.270073 & 0.583942 \tabularnewline
[7.2,7.4[ & 7.3 & 31 & 0.226277 & 0.49635 & 1.131387 \tabularnewline
[7.4,7.6[ & 7.5 & 10 & 0.072993 & 0.569343 & 0.364964 \tabularnewline
[7.6,7.8[ & 7.7 & 17 & 0.124088 & 0.693431 & 0.620438 \tabularnewline
[7.8,8[ & 7.9 & 18 & 0.131387 & 0.824818 & 0.656934 \tabularnewline
[8,8.2[ & 8.1 & 4 & 0.029197 & 0.854015 & 0.145985 \tabularnewline
[8.2,8.4[ & 8.3 & 12 & 0.087591 & 0.941606 & 0.437956 \tabularnewline
[8.4,8.6[ & 8.5 & 5 & 0.036496 & 0.978102 & 0.182482 \tabularnewline
[8.6,8.8[ & 8.7 & 0 & 0 & 0.978102 & 0 \tabularnewline
[8.8,9] & 8.9 & 3 & 0.021898 & 1 & 0.109489 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=43313&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][6.8,7[[/C][C]6.9[/C][C]21[/C][C]0.153285[/C][C]0.153285[/C][C]0.766423[/C][/ROW]
[ROW][C][7,7.2[[/C][C]7.1[/C][C]16[/C][C]0.116788[/C][C]0.270073[/C][C]0.583942[/C][/ROW]
[ROW][C][7.2,7.4[[/C][C]7.3[/C][C]31[/C][C]0.226277[/C][C]0.49635[/C][C]1.131387[/C][/ROW]
[ROW][C][7.4,7.6[[/C][C]7.5[/C][C]10[/C][C]0.072993[/C][C]0.569343[/C][C]0.364964[/C][/ROW]
[ROW][C][7.6,7.8[[/C][C]7.7[/C][C]17[/C][C]0.124088[/C][C]0.693431[/C][C]0.620438[/C][/ROW]
[ROW][C][7.8,8[[/C][C]7.9[/C][C]18[/C][C]0.131387[/C][C]0.824818[/C][C]0.656934[/C][/ROW]
[ROW][C][8,8.2[[/C][C]8.1[/C][C]4[/C][C]0.029197[/C][C]0.854015[/C][C]0.145985[/C][/ROW]
[ROW][C][8.2,8.4[[/C][C]8.3[/C][C]12[/C][C]0.087591[/C][C]0.941606[/C][C]0.437956[/C][/ROW]
[ROW][C][8.4,8.6[[/C][C]8.5[/C][C]5[/C][C]0.036496[/C][C]0.978102[/C][C]0.182482[/C][/ROW]
[ROW][C][8.6,8.8[[/C][C]8.7[/C][C]0[/C][C]0[/C][C]0.978102[/C][C]0[/C][/ROW]
[ROW][C][8.8,9][/C][C]8.9[/C][C]3[/C][C]0.021898[/C][C]1[/C][C]0.109489[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=43313&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43313&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
[6.8,7[6.9210.1532850.1532850.766423
[7,7.2[7.1160.1167880.2700730.583942
[7.2,7.4[7.3310.2262770.496351.131387
[7.4,7.6[7.5100.0729930.5693430.364964
[7.6,7.8[7.7170.1240880.6934310.620438
[7.8,8[7.9180.1313870.8248180.656934
[8,8.2[8.140.0291970.8540150.145985
[8.2,8.4[8.3120.0875910.9416060.437956
[8.4,8.6[8.550.0364960.9781020.182482
[8.6,8.8[8.7000.9781020
[8.8,9]8.930.02189810.109489



Parameters (Session):
par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = ; 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')