Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 22 Feb 2010 10:46:13 -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/Feb/22/t1266860826ixk6z8wedk7bbzs.htm/, Retrieved Thu, 18 Aug 2022 14:12:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73304, Retrieved Thu, 18 Aug 2022 14:12:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W22
Estimated Impact147
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [frequentietabel] [2010-02-07 11:34:07] [4c8439c15e3f5c5031b0df7519a2d1d9]
-       [Histogram] [] [2010-02-22 17:21:02] [74be16979710d4c4e7c6647856088456]
-   P       [Histogram] [gesimuleerde hist...] [2010-02-22 17:46:13] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-             [Histogram] [gesimuleerde hist...] [2010-02-22 17:49:10] [74be16979710d4c4e7c6647856088456]
-   P           [Histogram] [verbeterde gesimu...] [2010-03-04 17:09:07] [74be16979710d4c4e7c6647856088456]
- RM          [Kernel Density Estimation] [geblogde dichthei...] [2010-02-22 18:14:53] [74be16979710d4c4e7c6647856088456]
-             [Histogram] [verbeterde gesimu...] [2010-03-04 17:03:50] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
2.42
2.42
2.42
2.42
2.42
2.43
2.43
2.43
2.44
2.44
2.44
2.43
2.42
2.41
2.38
2.38
2.37
2.37
2.37
2.36
2.32
2.25
2.25
2.24
2.24
2.23
2.22
2.22
2.21
2.21
2.20
2.21
2.20
2.21
2.21
2.21
2.20
2.20
2.19
2.19
2.19
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.18
2.17
2.17
2.17
2.17
2.17
2.17
2.17
2.17
2.17
2.18
2.17
2.18
2.17
2.17
2.18
2.18
2.18
2.17




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=73304&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=73304&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73304&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
[2.1,2.2[2.15340.4722220.4722224.722222
[2.2,2.3[2.25170.2361110.7083332.361111
[2.3,2.4[2.3570.0972220.8055560.972222
[2.4,2.5]2.45140.19444411.944444

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2.1,2.2[ & 2.15 & 34 & 0.472222 & 0.472222 & 4.722222 \tabularnewline
[2.2,2.3[ & 2.25 & 17 & 0.236111 & 0.708333 & 2.361111 \tabularnewline
[2.3,2.4[ & 2.35 & 7 & 0.097222 & 0.805556 & 0.972222 \tabularnewline
[2.4,2.5] & 2.45 & 14 & 0.194444 & 1 & 1.944444 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73304&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][2.1,2.2[[/C][C]2.15[/C][C]34[/C][C]0.472222[/C][C]0.472222[/C][C]4.722222[/C][/ROW]
[ROW][C][2.2,2.3[[/C][C]2.25[/C][C]17[/C][C]0.236111[/C][C]0.708333[/C][C]2.361111[/C][/ROW]
[ROW][C][2.3,2.4[[/C][C]2.35[/C][C]7[/C][C]0.097222[/C][C]0.805556[/C][C]0.972222[/C][/ROW]
[ROW][C][2.4,2.5][/C][C]2.45[/C][C]14[/C][C]0.194444[/C][C]1[/C][C]1.944444[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73304&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73304&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
[2.1,2.2[2.15340.4722220.4722224.722222
[2.2,2.3[2.25170.2361110.7083332.361111
[2.3,2.4[2.3570.0972220.8055560.972222
[2.4,2.5]2.45140.19444411.944444



Parameters (Session):
par1 = 2 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 2 ; 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')