Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 23 Sep 2009 03:54:41 -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/23/t1253699904q7s8dql8wqnoh29.htm/, Retrieved Fri, 19 Apr 2024 09:15:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=43004, Retrieved Fri, 19 Apr 2024 09:15:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W1
Estimated Impact244
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Histogram] [Frequentietabel g...] [2009-09-23 09:54:41] [91b501704ec53ded4f914c1fb409b978] [Current]
Feedback Forum
2009-09-23 15:41:19 [8326296a4a969e220946fc6855491489] [reply
this is my comment

Post a new message
Dataseries X:
1.14
1.15
1.15
1.14
1.14
1.14
1.15
1.14
1.14
1.15
1.15
1.14
1.15
1.17
1.17
1.17
1.17
1.17
1.17
1.17
1.17
1.17
1.17
1.17
1.17
1.18
1.19
1.19
1.19
1.19
1.18
1.19
1.19
1.2
1.21
1.21
1.2
1.21
1.21
1.21
1.21
1.21
1.21
1.2
1.21
1.22
1.22
1.23
1.22
1.23
1.23
1.23
1.23
1.23
1.22
1.22
1.23
1.24
1.24
1.25
1.25
1.25
1.26
1.26
1.26
1.26
1.27
1.27
1.29
1.31
1.32
1.32
1.33
1.33
1.32
1.32
1.31
1.3
1.31
1.29
1.3
1.3
1.32
1.31
1.35
1.35
1.36
1.37
1.37
1.37
1.32
1.32
1.31
1.31
1.34
1.31
1.26
1.27
1.24
1.25
1.27
1.25
1.26
1.27
1.26
1.26
1.28
1.27
1.28
1.27
1.26
1.27
1.27
1.28
1.27
1.26
1.3
1.31
1.28
1.29
1.31
1.29
1.29
1.32
1.3
1.29
1.31
1.29
1.33
1.35
1.32
1.33




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=43004&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=43004&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43004&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[1.14,1.16[1.15130.0984850.0984854.924242
[1.16,1.18[1.17120.0909090.1893944.545455
[1.18,1.2[1.1980.0606060.253.030303
[1.2,1.22[1.21120.0909090.3409094.545455
[1.22,1.24[1.23120.0909090.4318184.545455
[1.24,1.26[1.2580.0606060.4924243.030303
[1.26,1.28[1.27200.1515150.6439397.575758
[1.28,1.3[1.29110.0833330.7272734.166667
[1.3,1.32[1.31150.1136360.8409095.681818
[1.32,1.34[1.33130.0984850.9393944.924242
[1.34,1.36[1.3540.0303030.9696971.515152
[1.36,1.38]1.3740.03030311.515151

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1.14,1.16[ & 1.15 & 13 & 0.098485 & 0.098485 & 4.924242 \tabularnewline
[1.16,1.18[ & 1.17 & 12 & 0.090909 & 0.189394 & 4.545455 \tabularnewline
[1.18,1.2[ & 1.19 & 8 & 0.060606 & 0.25 & 3.030303 \tabularnewline
[1.2,1.22[ & 1.21 & 12 & 0.090909 & 0.340909 & 4.545455 \tabularnewline
[1.22,1.24[ & 1.23 & 12 & 0.090909 & 0.431818 & 4.545455 \tabularnewline
[1.24,1.26[ & 1.25 & 8 & 0.060606 & 0.492424 & 3.030303 \tabularnewline
[1.26,1.28[ & 1.27 & 20 & 0.151515 & 0.643939 & 7.575758 \tabularnewline
[1.28,1.3[ & 1.29 & 11 & 0.083333 & 0.727273 & 4.166667 \tabularnewline
[1.3,1.32[ & 1.31 & 15 & 0.113636 & 0.840909 & 5.681818 \tabularnewline
[1.32,1.34[ & 1.33 & 13 & 0.098485 & 0.939394 & 4.924242 \tabularnewline
[1.34,1.36[ & 1.35 & 4 & 0.030303 & 0.969697 & 1.515152 \tabularnewline
[1.36,1.38] & 1.37 & 4 & 0.030303 & 1 & 1.515151 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=43004&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][1.14,1.16[[/C][C]1.15[/C][C]13[/C][C]0.098485[/C][C]0.098485[/C][C]4.924242[/C][/ROW]
[ROW][C][1.16,1.18[[/C][C]1.17[/C][C]12[/C][C]0.090909[/C][C]0.189394[/C][C]4.545455[/C][/ROW]
[ROW][C][1.18,1.2[[/C][C]1.19[/C][C]8[/C][C]0.060606[/C][C]0.25[/C][C]3.030303[/C][/ROW]
[ROW][C][1.2,1.22[[/C][C]1.21[/C][C]12[/C][C]0.090909[/C][C]0.340909[/C][C]4.545455[/C][/ROW]
[ROW][C][1.22,1.24[[/C][C]1.23[/C][C]12[/C][C]0.090909[/C][C]0.431818[/C][C]4.545455[/C][/ROW]
[ROW][C][1.24,1.26[[/C][C]1.25[/C][C]8[/C][C]0.060606[/C][C]0.492424[/C][C]3.030303[/C][/ROW]
[ROW][C][1.26,1.28[[/C][C]1.27[/C][C]20[/C][C]0.151515[/C][C]0.643939[/C][C]7.575758[/C][/ROW]
[ROW][C][1.28,1.3[[/C][C]1.29[/C][C]11[/C][C]0.083333[/C][C]0.727273[/C][C]4.166667[/C][/ROW]
[ROW][C][1.3,1.32[[/C][C]1.31[/C][C]15[/C][C]0.113636[/C][C]0.840909[/C][C]5.681818[/C][/ROW]
[ROW][C][1.32,1.34[[/C][C]1.33[/C][C]13[/C][C]0.098485[/C][C]0.939394[/C][C]4.924242[/C][/ROW]
[ROW][C][1.34,1.36[[/C][C]1.35[/C][C]4[/C][C]0.030303[/C][C]0.969697[/C][C]1.515152[/C][/ROW]
[ROW][C][1.36,1.38][/C][C]1.37[/C][C]4[/C][C]0.030303[/C][C]1[/C][C]1.515151[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=43004&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=43004&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
[1.14,1.16[1.15130.0984850.0984854.924242
[1.16,1.18[1.17120.0909090.1893944.545455
[1.18,1.2[1.1980.0606060.253.030303
[1.2,1.22[1.21120.0909090.3409094.545455
[1.22,1.24[1.23120.0909090.4318184.545455
[1.24,1.26[1.2580.0606060.4924243.030303
[1.26,1.28[1.27200.1515150.6439397.575758
[1.28,1.3[1.29110.0833330.7272734.166667
[1.3,1.32[1.31150.1136360.8409095.681818
[1.32,1.34[1.33130.0984850.9393944.924242
[1.34,1.36[1.3540.0303030.9696971.515152
[1.36,1.38]1.3740.03030311.515151



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')