Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 11 Feb 2017 14:16:19 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Feb/11/t14868226742ezcfk8lmjwl3lb.htm/, Retrieved Mon, 13 May 2024 18:28:03 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Mon, 13 May 2024 18:28:03 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0
Dataseries X:
97.91
98.51
98.54
98.52
98.66
98.53
98.71
98.92
98.96
99.25
99.32
99.41
99.36
99.58
99.77
99.77
100.03
100.2
100.24
100.1
100.03
100.18
100.29
100.41
100.6
100.75
100.79
100.44
100.29
100.34
100.46
100.12
100.06
100.28
100.28
100.4
100.61
100.89
100.73
101.12
101.16
101.33
101.37
101.61
101.85
102.27
102.28
102.23
102.42
102.53
103.47
103.53
103.77
103.74
103.93
103.97
103.68
103.86
103.97
104.05




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Herman Ole Andreas Wold' @ wold.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[97.8,98[97.910.0166670.0166670.083333
[98,98.2[98.1000.0166670
[98.2,98.4[98.3000.0166670
[98.4,98.6[98.540.0666670.0833330.333333
[98.6,98.8[98.720.0333330.1166670.166667
[98.8,99[98.920.0333330.150.166667
[99,99.2[99.1000.150
[99.2,99.4[99.330.050.20.25
[99.4,99.6[99.520.0333330.2333330.166667
[99.6,99.8[99.720.0333330.2666670.166667
[99.8,100[99.9000.2666670
[100,100.2[100.160.10.3666670.5
[100.2,100.4[100.370.1166670.4833330.583333
[100.4,100.6[100.540.0666670.550.333333
[100.6,100.8[100.750.0833330.6333330.416667
[100.8,101[100.910.0166670.650.083333
[101,101.2[101.120.0333330.6833330.166667
[101.2,101.4[101.320.0333330.7166670.166667
[101.4,101.6[101.5000.7166670
[101.6,101.8[101.710.0166670.7333330.083333
[101.8,102[101.910.0166670.750.083333
[102,102.2[102.1000.750
[102.2,102.4[102.330.050.80.25
[102.4,102.6[102.520.0333330.8333330.166667
[102.6,102.8[102.7000.8333330
[102.8,103[102.9000.8333330
[103,103.2[103.1000.8333330
[103.2,103.4[103.3000.8333330
[103.4,103.6[103.520.0333330.8666670.166667
[103.6,103.8[103.730.050.9166670.25
[103.8,104[103.940.0666670.9833330.333333
[104,104.2]104.110.01666710.083333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[97.8,98[ & 97.9 & 1 & 0.016667 & 0.016667 & 0.083333 \tabularnewline
[98,98.2[ & 98.1 & 0 & 0 & 0.016667 & 0 \tabularnewline
[98.2,98.4[ & 98.3 & 0 & 0 & 0.016667 & 0 \tabularnewline
[98.4,98.6[ & 98.5 & 4 & 0.066667 & 0.083333 & 0.333333 \tabularnewline
[98.6,98.8[ & 98.7 & 2 & 0.033333 & 0.116667 & 0.166667 \tabularnewline
[98.8,99[ & 98.9 & 2 & 0.033333 & 0.15 & 0.166667 \tabularnewline
[99,99.2[ & 99.1 & 0 & 0 & 0.15 & 0 \tabularnewline
[99.2,99.4[ & 99.3 & 3 & 0.05 & 0.2 & 0.25 \tabularnewline
[99.4,99.6[ & 99.5 & 2 & 0.033333 & 0.233333 & 0.166667 \tabularnewline
[99.6,99.8[ & 99.7 & 2 & 0.033333 & 0.266667 & 0.166667 \tabularnewline
[99.8,100[ & 99.9 & 0 & 0 & 0.266667 & 0 \tabularnewline
[100,100.2[ & 100.1 & 6 & 0.1 & 0.366667 & 0.5 \tabularnewline
[100.2,100.4[ & 100.3 & 7 & 0.116667 & 0.483333 & 0.583333 \tabularnewline
[100.4,100.6[ & 100.5 & 4 & 0.066667 & 0.55 & 0.333333 \tabularnewline
[100.6,100.8[ & 100.7 & 5 & 0.083333 & 0.633333 & 0.416667 \tabularnewline
[100.8,101[ & 100.9 & 1 & 0.016667 & 0.65 & 0.083333 \tabularnewline
[101,101.2[ & 101.1 & 2 & 0.033333 & 0.683333 & 0.166667 \tabularnewline
[101.2,101.4[ & 101.3 & 2 & 0.033333 & 0.716667 & 0.166667 \tabularnewline
[101.4,101.6[ & 101.5 & 0 & 0 & 0.716667 & 0 \tabularnewline
[101.6,101.8[ & 101.7 & 1 & 0.016667 & 0.733333 & 0.083333 \tabularnewline
[101.8,102[ & 101.9 & 1 & 0.016667 & 0.75 & 0.083333 \tabularnewline
[102,102.2[ & 102.1 & 0 & 0 & 0.75 & 0 \tabularnewline
[102.2,102.4[ & 102.3 & 3 & 0.05 & 0.8 & 0.25 \tabularnewline
[102.4,102.6[ & 102.5 & 2 & 0.033333 & 0.833333 & 0.166667 \tabularnewline
[102.6,102.8[ & 102.7 & 0 & 0 & 0.833333 & 0 \tabularnewline
[102.8,103[ & 102.9 & 0 & 0 & 0.833333 & 0 \tabularnewline
[103,103.2[ & 103.1 & 0 & 0 & 0.833333 & 0 \tabularnewline
[103.2,103.4[ & 103.3 & 0 & 0 & 0.833333 & 0 \tabularnewline
[103.4,103.6[ & 103.5 & 2 & 0.033333 & 0.866667 & 0.166667 \tabularnewline
[103.6,103.8[ & 103.7 & 3 & 0.05 & 0.916667 & 0.25 \tabularnewline
[103.8,104[ & 103.9 & 4 & 0.066667 & 0.983333 & 0.333333 \tabularnewline
[104,104.2] & 104.1 & 1 & 0.016667 & 1 & 0.083333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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][97.8,98[[/C][C]97.9[/C][C]1[/C][C]0.016667[/C][C]0.016667[/C][C]0.083333[/C][/ROW]
[ROW][C][98,98.2[[/C][C]98.1[/C][C]0[/C][C]0[/C][C]0.016667[/C][C]0[/C][/ROW]
[ROW][C][98.2,98.4[[/C][C]98.3[/C][C]0[/C][C]0[/C][C]0.016667[/C][C]0[/C][/ROW]
[ROW][C][98.4,98.6[[/C][C]98.5[/C][C]4[/C][C]0.066667[/C][C]0.083333[/C][C]0.333333[/C][/ROW]
[ROW][C][98.6,98.8[[/C][C]98.7[/C][C]2[/C][C]0.033333[/C][C]0.116667[/C][C]0.166667[/C][/ROW]
[ROW][C][98.8,99[[/C][C]98.9[/C][C]2[/C][C]0.033333[/C][C]0.15[/C][C]0.166667[/C][/ROW]
[ROW][C][99,99.2[[/C][C]99.1[/C][C]0[/C][C]0[/C][C]0.15[/C][C]0[/C][/ROW]
[ROW][C][99.2,99.4[[/C][C]99.3[/C][C]3[/C][C]0.05[/C][C]0.2[/C][C]0.25[/C][/ROW]
[ROW][C][99.4,99.6[[/C][C]99.5[/C][C]2[/C][C]0.033333[/C][C]0.233333[/C][C]0.166667[/C][/ROW]
[ROW][C][99.6,99.8[[/C][C]99.7[/C][C]2[/C][C]0.033333[/C][C]0.266667[/C][C]0.166667[/C][/ROW]
[ROW][C][99.8,100[[/C][C]99.9[/C][C]0[/C][C]0[/C][C]0.266667[/C][C]0[/C][/ROW]
[ROW][C][100,100.2[[/C][C]100.1[/C][C]6[/C][C]0.1[/C][C]0.366667[/C][C]0.5[/C][/ROW]
[ROW][C][100.2,100.4[[/C][C]100.3[/C][C]7[/C][C]0.116667[/C][C]0.483333[/C][C]0.583333[/C][/ROW]
[ROW][C][100.4,100.6[[/C][C]100.5[/C][C]4[/C][C]0.066667[/C][C]0.55[/C][C]0.333333[/C][/ROW]
[ROW][C][100.6,100.8[[/C][C]100.7[/C][C]5[/C][C]0.083333[/C][C]0.633333[/C][C]0.416667[/C][/ROW]
[ROW][C][100.8,101[[/C][C]100.9[/C][C]1[/C][C]0.016667[/C][C]0.65[/C][C]0.083333[/C][/ROW]
[ROW][C][101,101.2[[/C][C]101.1[/C][C]2[/C][C]0.033333[/C][C]0.683333[/C][C]0.166667[/C][/ROW]
[ROW][C][101.2,101.4[[/C][C]101.3[/C][C]2[/C][C]0.033333[/C][C]0.716667[/C][C]0.166667[/C][/ROW]
[ROW][C][101.4,101.6[[/C][C]101.5[/C][C]0[/C][C]0[/C][C]0.716667[/C][C]0[/C][/ROW]
[ROW][C][101.6,101.8[[/C][C]101.7[/C][C]1[/C][C]0.016667[/C][C]0.733333[/C][C]0.083333[/C][/ROW]
[ROW][C][101.8,102[[/C][C]101.9[/C][C]1[/C][C]0.016667[/C][C]0.75[/C][C]0.083333[/C][/ROW]
[ROW][C][102,102.2[[/C][C]102.1[/C][C]0[/C][C]0[/C][C]0.75[/C][C]0[/C][/ROW]
[ROW][C][102.2,102.4[[/C][C]102.3[/C][C]3[/C][C]0.05[/C][C]0.8[/C][C]0.25[/C][/ROW]
[ROW][C][102.4,102.6[[/C][C]102.5[/C][C]2[/C][C]0.033333[/C][C]0.833333[/C][C]0.166667[/C][/ROW]
[ROW][C][102.6,102.8[[/C][C]102.7[/C][C]0[/C][C]0[/C][C]0.833333[/C][C]0[/C][/ROW]
[ROW][C][102.8,103[[/C][C]102.9[/C][C]0[/C][C]0[/C][C]0.833333[/C][C]0[/C][/ROW]
[ROW][C][103,103.2[[/C][C]103.1[/C][C]0[/C][C]0[/C][C]0.833333[/C][C]0[/C][/ROW]
[ROW][C][103.2,103.4[[/C][C]103.3[/C][C]0[/C][C]0[/C][C]0.833333[/C][C]0[/C][/ROW]
[ROW][C][103.4,103.6[[/C][C]103.5[/C][C]2[/C][C]0.033333[/C][C]0.866667[/C][C]0.166667[/C][/ROW]
[ROW][C][103.6,103.8[[/C][C]103.7[/C][C]3[/C][C]0.05[/C][C]0.916667[/C][C]0.25[/C][/ROW]
[ROW][C][103.8,104[[/C][C]103.9[/C][C]4[/C][C]0.066667[/C][C]0.983333[/C][C]0.333333[/C][/ROW]
[ROW][C][104,104.2][/C][C]104.1[/C][C]1[/C][C]0.016667[/C][C]1[/C][C]0.083333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
[97.8,98[97.910.0166670.0166670.083333
[98,98.2[98.1000.0166670
[98.2,98.4[98.3000.0166670
[98.4,98.6[98.540.0666670.0833330.333333
[98.6,98.8[98.720.0333330.1166670.166667
[98.8,99[98.920.0333330.150.166667
[99,99.2[99.1000.150
[99.2,99.4[99.330.050.20.25
[99.4,99.6[99.520.0333330.2333330.166667
[99.6,99.8[99.720.0333330.2666670.166667
[99.8,100[99.9000.2666670
[100,100.2[100.160.10.3666670.5
[100.2,100.4[100.370.1166670.4833330.583333
[100.4,100.6[100.540.0666670.550.333333
[100.6,100.8[100.750.0833330.6333330.416667
[100.8,101[100.910.0166670.650.083333
[101,101.2[101.120.0333330.6833330.166667
[101.2,101.4[101.320.0333330.7166670.166667
[101.4,101.6[101.5000.7166670
[101.6,101.8[101.710.0166670.7333330.083333
[101.8,102[101.910.0166670.750.083333
[102,102.2[102.1000.750
[102.2,102.4[102.330.050.80.25
[102.4,102.6[102.520.0333330.8333330.166667
[102.6,102.8[102.7000.8333330
[102.8,103[102.9000.8333330
[103,103.2[103.1000.8333330
[103.2,103.4[103.3000.8333330
[103.4,103.6[103.520.0333330.8666670.166667
[103.6,103.8[103.730.050.9166670.25
[103.8,104[103.940.0666670.9833330.333333
[104,104.2]104.110.01666710.083333



Parameters (Session):
par1 = 22 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 22 ; 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.numeric(x[1])) {
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)
}
} else {
barplot(mytab <- sort(table(x),T),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
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')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}