Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 29 Sep 2009 10:37:12 -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/Sep/29/t1254242289dd6cq4wit8wwmnm.htm/, Retrieved Fri, 29 Mar 2024 05:10:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=43098, Retrieved Fri, 29 Mar 2024 05:10:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact200
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Bouwvergunningen ...] [2009-09-29 16:37:12] [2abd4b9b44d4f48e98cd1ed09c98ef24] [Current]
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Dataseries X:
5789
6333
6901
5813
6504
5619
5867
6084
5258
5601
5081
4678
5463
5546
6810
6407
5985
5119
5904
5034
4922
6083
4365
4464
4557
5885
5286
6017
5376
5935
6276
5510
5998
5193
4602
5326
5307
5014
6153
6441
5584
6427
6062
5589
6216
5809
4989
6706
7174
6122
8075
6292
6337
8576
6077
5931
6288
7167
6054
6468
6403
6927
7914
7728
8701
8522
6481
7502
7778
7424
6941
8574
9171
7718
9083
7164
8213
8124
7075
7026
7390
7778
6203
6905
7087
6495
7664
6516
6322
7828
6708
6717
5707
8063
6315
5893
6914
7319
6615
7341
6210
7408
6168
5878
6834
6211
5982
6973




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=43098&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=43098&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43098&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[4000,4500[425020.0185190.0185193.7e-05
[4500,5000[475050.0462960.0648159.3e-05
[5000,5500[5250110.1018520.1666670.000204
[5500,6000[5750200.1851850.3518520.00037
[6000,6500[6250270.250.6018525e-04
[6500,7000[6750140.129630.7314810.000259
[7000,7500[7250110.1018520.8333330.000204
[7500,8000[775080.0740740.9074070.000148
[8000,8500[825040.0370370.9444447.4e-05
[8500,9000[875040.0370370.9814817.4e-05
[9000,9500]925020.01851913.7e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[4000,4500[ & 4250 & 2 & 0.018519 & 0.018519 & 3.7e-05 \tabularnewline
[4500,5000[ & 4750 & 5 & 0.046296 & 0.064815 & 9.3e-05 \tabularnewline
[5000,5500[ & 5250 & 11 & 0.101852 & 0.166667 & 0.000204 \tabularnewline
[5500,6000[ & 5750 & 20 & 0.185185 & 0.351852 & 0.00037 \tabularnewline
[6000,6500[ & 6250 & 27 & 0.25 & 0.601852 & 5e-04 \tabularnewline
[6500,7000[ & 6750 & 14 & 0.12963 & 0.731481 & 0.000259 \tabularnewline
[7000,7500[ & 7250 & 11 & 0.101852 & 0.833333 & 0.000204 \tabularnewline
[7500,8000[ & 7750 & 8 & 0.074074 & 0.907407 & 0.000148 \tabularnewline
[8000,8500[ & 8250 & 4 & 0.037037 & 0.944444 & 7.4e-05 \tabularnewline
[8500,9000[ & 8750 & 4 & 0.037037 & 0.981481 & 7.4e-05 \tabularnewline
[9000,9500] & 9250 & 2 & 0.018519 & 1 & 3.7e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=43098&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][4000,4500[[/C][C]4250[/C][C]2[/C][C]0.018519[/C][C]0.018519[/C][C]3.7e-05[/C][/ROW]
[ROW][C][4500,5000[[/C][C]4750[/C][C]5[/C][C]0.046296[/C][C]0.064815[/C][C]9.3e-05[/C][/ROW]
[ROW][C][5000,5500[[/C][C]5250[/C][C]11[/C][C]0.101852[/C][C]0.166667[/C][C]0.000204[/C][/ROW]
[ROW][C][5500,6000[[/C][C]5750[/C][C]20[/C][C]0.185185[/C][C]0.351852[/C][C]0.00037[/C][/ROW]
[ROW][C][6000,6500[[/C][C]6250[/C][C]27[/C][C]0.25[/C][C]0.601852[/C][C]5e-04[/C][/ROW]
[ROW][C][6500,7000[[/C][C]6750[/C][C]14[/C][C]0.12963[/C][C]0.731481[/C][C]0.000259[/C][/ROW]
[ROW][C][7000,7500[[/C][C]7250[/C][C]11[/C][C]0.101852[/C][C]0.833333[/C][C]0.000204[/C][/ROW]
[ROW][C][7500,8000[[/C][C]7750[/C][C]8[/C][C]0.074074[/C][C]0.907407[/C][C]0.000148[/C][/ROW]
[ROW][C][8000,8500[[/C][C]8250[/C][C]4[/C][C]0.037037[/C][C]0.944444[/C][C]7.4e-05[/C][/ROW]
[ROW][C][8500,9000[[/C][C]8750[/C][C]4[/C][C]0.037037[/C][C]0.981481[/C][C]7.4e-05[/C][/ROW]
[ROW][C][9000,9500][/C][C]9250[/C][C]2[/C][C]0.018519[/C][C]1[/C][C]3.7e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=43098&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43098&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
[4000,4500[425020.0185190.0185193.7e-05
[4500,5000[475050.0462960.0648159.3e-05
[5000,5500[5250110.1018520.1666670.000204
[5500,6000[5750200.1851850.3518520.00037
[6000,6500[6250270.250.6018525e-04
[6500,7000[6750140.129630.7314810.000259
[7000,7500[7250110.1018520.8333330.000204
[7500,8000[775080.0740740.9074070.000148
[8000,8500[825040.0370370.9444447.4e-05
[8500,9000[875040.0370370.9814817.4e-05
[9000,9500]925020.01851913.7e-05



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')