Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 11 Dec 2008 10:59:11 -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/2008/Dec/11/t1229018380iqyq8w7lx4oud5d.htm/, Retrieved Thu, 30 May 2024 08:58:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32405, Retrieved Thu, 30 May 2024 08:58:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact248
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Arabica Price in ...] [2008-01-05 23:14:31] [74be16979710d4c4e7c6647856088456]
-   PD  [Univariate Data Series] [Tijdreeks 1 Buite...] [2008-12-11 16:10:45] [2d4aec5ed1856c4828162be37be304d9]
- RMP       [Histogram] [Histogram tijdree...] [2008-12-11 17:59:11] [d7f41258beeebb8716e3f5d39f3cdc01] [Current]
Feedback Forum

Post a new message
Dataseries X:
16283.6
16726.5
14968.9
14861
14583.3
15305.8
17903.9
16379.4
15420.3
17870.5
15912.8
13866.5
17823.2
17872
17420.4
16704.4
15991.2
16583.6
19123.5
17838.7
17209.4
18586.5
16258.1
15141.6
19202.1
17746.5
19090.1
18040.3
17515.5
17751.8
21072.4
17170
19439.5
19795.4
17574.9
16165.4
19464.6
19932.1
19961.2
17343.4
18924.2
18574.1
21350.6
18594.6
19823.1
20844.4
19640.2
17735.4
19813.6
22160
20664.3
17877.4
21211.2
21423.1
21688.7
23243.2
21490.2
22925.8
23184.8
18562.2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32405&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32405&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32405&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'George Udny Yule' @ 72.249.76.132







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[13000,14000[1350010.0166670.0166671.7e-05
[14000,15000[1450030.050.0666675e-05
[15000,16000[1550050.0833330.158.3e-05
[16000,17000[1650070.1166670.2666670.000117
[17000,18000[17500150.250.5166670.00025
[18000,19000[1850060.10.6166671e-04
[19000,20000[19500110.1833330.80.000183
[20000,21000[2050020.0333330.8333333.3e-05
[21000,22000[2150060.10.9333331e-04
[22000,23000[2250020.0333330.9666673.3e-05
[23000,24000]2350020.03333313.3e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[13000,14000[ & 13500 & 1 & 0.016667 & 0.016667 & 1.7e-05 \tabularnewline
[14000,15000[ & 14500 & 3 & 0.05 & 0.066667 & 5e-05 \tabularnewline
[15000,16000[ & 15500 & 5 & 0.083333 & 0.15 & 8.3e-05 \tabularnewline
[16000,17000[ & 16500 & 7 & 0.116667 & 0.266667 & 0.000117 \tabularnewline
[17000,18000[ & 17500 & 15 & 0.25 & 0.516667 & 0.00025 \tabularnewline
[18000,19000[ & 18500 & 6 & 0.1 & 0.616667 & 1e-04 \tabularnewline
[19000,20000[ & 19500 & 11 & 0.183333 & 0.8 & 0.000183 \tabularnewline
[20000,21000[ & 20500 & 2 & 0.033333 & 0.833333 & 3.3e-05 \tabularnewline
[21000,22000[ & 21500 & 6 & 0.1 & 0.933333 & 1e-04 \tabularnewline
[22000,23000[ & 22500 & 2 & 0.033333 & 0.966667 & 3.3e-05 \tabularnewline
[23000,24000] & 23500 & 2 & 0.033333 & 1 & 3.3e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32405&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][13000,14000[[/C][C]13500[/C][C]1[/C][C]0.016667[/C][C]0.016667[/C][C]1.7e-05[/C][/ROW]
[ROW][C][14000,15000[[/C][C]14500[/C][C]3[/C][C]0.05[/C][C]0.066667[/C][C]5e-05[/C][/ROW]
[ROW][C][15000,16000[[/C][C]15500[/C][C]5[/C][C]0.083333[/C][C]0.15[/C][C]8.3e-05[/C][/ROW]
[ROW][C][16000,17000[[/C][C]16500[/C][C]7[/C][C]0.116667[/C][C]0.266667[/C][C]0.000117[/C][/ROW]
[ROW][C][17000,18000[[/C][C]17500[/C][C]15[/C][C]0.25[/C][C]0.516667[/C][C]0.00025[/C][/ROW]
[ROW][C][18000,19000[[/C][C]18500[/C][C]6[/C][C]0.1[/C][C]0.616667[/C][C]1e-04[/C][/ROW]
[ROW][C][19000,20000[[/C][C]19500[/C][C]11[/C][C]0.183333[/C][C]0.8[/C][C]0.000183[/C][/ROW]
[ROW][C][20000,21000[[/C][C]20500[/C][C]2[/C][C]0.033333[/C][C]0.833333[/C][C]3.3e-05[/C][/ROW]
[ROW][C][21000,22000[[/C][C]21500[/C][C]6[/C][C]0.1[/C][C]0.933333[/C][C]1e-04[/C][/ROW]
[ROW][C][22000,23000[[/C][C]22500[/C][C]2[/C][C]0.033333[/C][C]0.966667[/C][C]3.3e-05[/C][/ROW]
[ROW][C][23000,24000][/C][C]23500[/C][C]2[/C][C]0.033333[/C][C]1[/C][C]3.3e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32405&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32405&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
[13000,14000[1350010.0166670.0166671.7e-05
[14000,15000[1450030.050.0666675e-05
[15000,16000[1550050.0833330.158.3e-05
[16000,17000[1650070.1166670.2666670.000117
[17000,18000[17500150.250.5166670.00025
[18000,19000[1850060.10.6166671e-04
[19000,20000[19500110.1833330.80.000183
[20000,21000[2050020.0333330.8333333.3e-05
[21000,22000[2150060.10.9333331e-04
[22000,23000[2250020.0333330.9666673.3e-05
[23000,24000]2350020.03333313.3e-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')