Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 03 Mar 2010 11:20:15 -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/03/t1267640624i8pv2yfcq7a9x91.htm/, Retrieved Sun, 23 Jan 2022 01:54:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73923, Retrieved Sun, 23 Jan 2022 01:54:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact67
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [histogram + frequ...] [2010-03-03 17:38:59] [a39ca281c65a133e3dabd35b49f00e1e]
-   P     [Histogram] [] [2010-03-03 18:20:15] [1534a5b2c59cc18089304a939cd27237] [Current]
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Dataseries X:
66857.2
64722.8
68489.6
71342.9
63542.5
69425.0
58927.9
61009.0
66837.0
66147.6
65982.3
65527.5
65914.6
59189.9
66211.4
66400.8
60167.7
64547.9
57706.2
58642.6
60082.1
63414.8
66044.0
57628.5
62838.8
55758.6
61004.5
66173.4
57489.0
59552.2
57061.8
55895.3
56314.7
61232.8
60014.1
57685.4
60403.1
52349.7
55693.3
65676.1
54898.8
55518.2
53779.1
52340.9
55704.4
60330.3
52837.4
55388.1
60383.4
52070.3
54077.0
62887.8
49212.8
57722.0
53936.8
46991.0
54984.2
56485.1
51277.8
53596.4
54252.5
49413.0
53213.2
58695.3
48723.5
54510.0
49454.1
46136.6
54622.5
50583.0
53224.3
53056.4




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=73923&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=73923&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73923&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[46000,48000[4700020.0277780.0277781.4e-05
[48000,50000[4900040.0555560.0833332.8e-05
[50000,52000[5100020.0277780.1111111.4e-05
[52000,54000[53000100.1388890.256.9e-05
[54000,56000[55000120.1666670.4166678.3e-05
[56000,58000[5700080.1111110.5277785.6e-05
[58000,60000[5900050.0694440.5972223.5e-05
[60000,62000[6100090.1250.7222226.2e-05
[62000,64000[6300040.0555560.7777782.8e-05
[64000,66000[6500060.0833330.8611114.2e-05
[66000,68000[6700070.0972220.9583334.9e-05
[68000,70000[6900020.0277780.9861111.4e-05
[70000,72000]7100010.01388917e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[46000,48000[ & 47000 & 2 & 0.027778 & 0.027778 & 1.4e-05 \tabularnewline
[48000,50000[ & 49000 & 4 & 0.055556 & 0.083333 & 2.8e-05 \tabularnewline
[50000,52000[ & 51000 & 2 & 0.027778 & 0.111111 & 1.4e-05 \tabularnewline
[52000,54000[ & 53000 & 10 & 0.138889 & 0.25 & 6.9e-05 \tabularnewline
[54000,56000[ & 55000 & 12 & 0.166667 & 0.416667 & 8.3e-05 \tabularnewline
[56000,58000[ & 57000 & 8 & 0.111111 & 0.527778 & 5.6e-05 \tabularnewline
[58000,60000[ & 59000 & 5 & 0.069444 & 0.597222 & 3.5e-05 \tabularnewline
[60000,62000[ & 61000 & 9 & 0.125 & 0.722222 & 6.2e-05 \tabularnewline
[62000,64000[ & 63000 & 4 & 0.055556 & 0.777778 & 2.8e-05 \tabularnewline
[64000,66000[ & 65000 & 6 & 0.083333 & 0.861111 & 4.2e-05 \tabularnewline
[66000,68000[ & 67000 & 7 & 0.097222 & 0.958333 & 4.9e-05 \tabularnewline
[68000,70000[ & 69000 & 2 & 0.027778 & 0.986111 & 1.4e-05 \tabularnewline
[70000,72000] & 71000 & 1 & 0.013889 & 1 & 7e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73923&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][46000,48000[[/C][C]47000[/C][C]2[/C][C]0.027778[/C][C]0.027778[/C][C]1.4e-05[/C][/ROW]
[ROW][C][48000,50000[[/C][C]49000[/C][C]4[/C][C]0.055556[/C][C]0.083333[/C][C]2.8e-05[/C][/ROW]
[ROW][C][50000,52000[[/C][C]51000[/C][C]2[/C][C]0.027778[/C][C]0.111111[/C][C]1.4e-05[/C][/ROW]
[ROW][C][52000,54000[[/C][C]53000[/C][C]10[/C][C]0.138889[/C][C]0.25[/C][C]6.9e-05[/C][/ROW]
[ROW][C][54000,56000[[/C][C]55000[/C][C]12[/C][C]0.166667[/C][C]0.416667[/C][C]8.3e-05[/C][/ROW]
[ROW][C][56000,58000[[/C][C]57000[/C][C]8[/C][C]0.111111[/C][C]0.527778[/C][C]5.6e-05[/C][/ROW]
[ROW][C][58000,60000[[/C][C]59000[/C][C]5[/C][C]0.069444[/C][C]0.597222[/C][C]3.5e-05[/C][/ROW]
[ROW][C][60000,62000[[/C][C]61000[/C][C]9[/C][C]0.125[/C][C]0.722222[/C][C]6.2e-05[/C][/ROW]
[ROW][C][62000,64000[[/C][C]63000[/C][C]4[/C][C]0.055556[/C][C]0.777778[/C][C]2.8e-05[/C][/ROW]
[ROW][C][64000,66000[[/C][C]65000[/C][C]6[/C][C]0.083333[/C][C]0.861111[/C][C]4.2e-05[/C][/ROW]
[ROW][C][66000,68000[[/C][C]67000[/C][C]7[/C][C]0.097222[/C][C]0.958333[/C][C]4.9e-05[/C][/ROW]
[ROW][C][68000,70000[[/C][C]69000[/C][C]2[/C][C]0.027778[/C][C]0.986111[/C][C]1.4e-05[/C][/ROW]
[ROW][C][70000,72000][/C][C]71000[/C][C]1[/C][C]0.013889[/C][C]1[/C][C]7e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73923&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73923&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
[46000,48000[4700020.0277780.0277781.4e-05
[48000,50000[4900040.0555560.0833332.8e-05
[50000,52000[5100020.0277780.1111111.4e-05
[52000,54000[53000100.1388890.256.9e-05
[54000,56000[55000120.1666670.4166678.3e-05
[56000,58000[5700080.1111110.5277785.6e-05
[58000,60000[5900050.0694440.5972223.5e-05
[60000,62000[6100090.1250.7222226.2e-05
[62000,64000[6300040.0555560.7777782.8e-05
[64000,66000[6500060.0833330.8611114.2e-05
[66000,68000[6700070.0972220.9583334.9e-05
[68000,70000[6900020.0277780.9861111.4e-05
[70000,72000]7100010.01388917e-06



Parameters (Session):
par1 = 10 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
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')