Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 13 Feb 2017 15:02:26 +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/13/t1486998257azlcqz0xosxyl9n.htm/, Retrieved Fri, 10 May 2024 06:59:47 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Fri, 10 May 2024 06:59:47 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0
Dataseries X:
89.88
89.88
89.91
90.21
91.46
91.51
91.55
91.56
91.58
91.60
91.61
91.62
91.62
91.62
91.62
91.63
92.01
92.43
92.59
92.67
92.79
92.79
92.84
92.86
92.86
92.91
92.94
93.49
95.31
96.07
96.35
96.66
97.31
97.66
97.75
97.76
97.79
97.93
97.95
98.05
99.01
99.32
99.55
100.56
101.88
102.30
102.79
102.80
102.87
103.57
105.61
107.25
107.61
107.85
107.93
107.98
108.10
108.26
108.32
108.32
108.36
109.07
110.86
112.49
112.83
112.98
113.03
113.34
113.38
113.51
113.68
113.69




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.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]'Gertrude Mary Cox' @ cox.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'Gertrude Mary Cox' @ cox.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[89,90[89.530.0416670.0416670.041667
[90,91[90.510.0138890.0555560.013889
[91,92[91.5120.1666670.2222220.166667
[92,93[92.5110.1527780.3750.152778
[93,94[93.510.0138890.3888890.013889
[94,95[94.5000.3888890
[95,96[95.510.0138890.4027780.013889
[96,97[96.530.0416670.4444440.041667
[97,98[97.570.0972220.5416670.097222
[98,99[98.510.0138890.5555560.013889
[99,100[99.530.0416670.5972220.041667
[100,101[100.510.0138890.6111110.013889
[101,102[101.510.0138890.6250.013889
[102,103[102.540.0555560.6805560.055556
[103,104[103.510.0138890.6944440.013889
[104,105[104.5000.6944440
[105,106[105.510.0138890.7083330.013889
[106,107[106.5000.7083330
[107,108[107.550.0694440.7777780.069444
[108,109[108.550.0694440.8472220.069444
[109,110[109.510.0138890.8611110.013889
[110,111[110.510.0138890.8750.013889
[111,112[111.5000.8750
[112,113[112.530.0416670.9166670.041667
[113,114]113.560.08333310.083333

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[89,90[ & 89.5 & 3 & 0.041667 & 0.041667 & 0.041667 \tabularnewline
[90,91[ & 90.5 & 1 & 0.013889 & 0.055556 & 0.013889 \tabularnewline
[91,92[ & 91.5 & 12 & 0.166667 & 0.222222 & 0.166667 \tabularnewline
[92,93[ & 92.5 & 11 & 0.152778 & 0.375 & 0.152778 \tabularnewline
[93,94[ & 93.5 & 1 & 0.013889 & 0.388889 & 0.013889 \tabularnewline
[94,95[ & 94.5 & 0 & 0 & 0.388889 & 0 \tabularnewline
[95,96[ & 95.5 & 1 & 0.013889 & 0.402778 & 0.013889 \tabularnewline
[96,97[ & 96.5 & 3 & 0.041667 & 0.444444 & 0.041667 \tabularnewline
[97,98[ & 97.5 & 7 & 0.097222 & 0.541667 & 0.097222 \tabularnewline
[98,99[ & 98.5 & 1 & 0.013889 & 0.555556 & 0.013889 \tabularnewline
[99,100[ & 99.5 & 3 & 0.041667 & 0.597222 & 0.041667 \tabularnewline
[100,101[ & 100.5 & 1 & 0.013889 & 0.611111 & 0.013889 \tabularnewline
[101,102[ & 101.5 & 1 & 0.013889 & 0.625 & 0.013889 \tabularnewline
[102,103[ & 102.5 & 4 & 0.055556 & 0.680556 & 0.055556 \tabularnewline
[103,104[ & 103.5 & 1 & 0.013889 & 0.694444 & 0.013889 \tabularnewline
[104,105[ & 104.5 & 0 & 0 & 0.694444 & 0 \tabularnewline
[105,106[ & 105.5 & 1 & 0.013889 & 0.708333 & 0.013889 \tabularnewline
[106,107[ & 106.5 & 0 & 0 & 0.708333 & 0 \tabularnewline
[107,108[ & 107.5 & 5 & 0.069444 & 0.777778 & 0.069444 \tabularnewline
[108,109[ & 108.5 & 5 & 0.069444 & 0.847222 & 0.069444 \tabularnewline
[109,110[ & 109.5 & 1 & 0.013889 & 0.861111 & 0.013889 \tabularnewline
[110,111[ & 110.5 & 1 & 0.013889 & 0.875 & 0.013889 \tabularnewline
[111,112[ & 111.5 & 0 & 0 & 0.875 & 0 \tabularnewline
[112,113[ & 112.5 & 3 & 0.041667 & 0.916667 & 0.041667 \tabularnewline
[113,114] & 113.5 & 6 & 0.083333 & 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][89,90[[/C][C]89.5[/C][C]3[/C][C]0.041667[/C][C]0.041667[/C][C]0.041667[/C][/ROW]
[ROW][C][90,91[[/C][C]90.5[/C][C]1[/C][C]0.013889[/C][C]0.055556[/C][C]0.013889[/C][/ROW]
[ROW][C][91,92[[/C][C]91.5[/C][C]12[/C][C]0.166667[/C][C]0.222222[/C][C]0.166667[/C][/ROW]
[ROW][C][92,93[[/C][C]92.5[/C][C]11[/C][C]0.152778[/C][C]0.375[/C][C]0.152778[/C][/ROW]
[ROW][C][93,94[[/C][C]93.5[/C][C]1[/C][C]0.013889[/C][C]0.388889[/C][C]0.013889[/C][/ROW]
[ROW][C][94,95[[/C][C]94.5[/C][C]0[/C][C]0[/C][C]0.388889[/C][C]0[/C][/ROW]
[ROW][C][95,96[[/C][C]95.5[/C][C]1[/C][C]0.013889[/C][C]0.402778[/C][C]0.013889[/C][/ROW]
[ROW][C][96,97[[/C][C]96.5[/C][C]3[/C][C]0.041667[/C][C]0.444444[/C][C]0.041667[/C][/ROW]
[ROW][C][97,98[[/C][C]97.5[/C][C]7[/C][C]0.097222[/C][C]0.541667[/C][C]0.097222[/C][/ROW]
[ROW][C][98,99[[/C][C]98.5[/C][C]1[/C][C]0.013889[/C][C]0.555556[/C][C]0.013889[/C][/ROW]
[ROW][C][99,100[[/C][C]99.5[/C][C]3[/C][C]0.041667[/C][C]0.597222[/C][C]0.041667[/C][/ROW]
[ROW][C][100,101[[/C][C]100.5[/C][C]1[/C][C]0.013889[/C][C]0.611111[/C][C]0.013889[/C][/ROW]
[ROW][C][101,102[[/C][C]101.5[/C][C]1[/C][C]0.013889[/C][C]0.625[/C][C]0.013889[/C][/ROW]
[ROW][C][102,103[[/C][C]102.5[/C][C]4[/C][C]0.055556[/C][C]0.680556[/C][C]0.055556[/C][/ROW]
[ROW][C][103,104[[/C][C]103.5[/C][C]1[/C][C]0.013889[/C][C]0.694444[/C][C]0.013889[/C][/ROW]
[ROW][C][104,105[[/C][C]104.5[/C][C]0[/C][C]0[/C][C]0.694444[/C][C]0[/C][/ROW]
[ROW][C][105,106[[/C][C]105.5[/C][C]1[/C][C]0.013889[/C][C]0.708333[/C][C]0.013889[/C][/ROW]
[ROW][C][106,107[[/C][C]106.5[/C][C]0[/C][C]0[/C][C]0.708333[/C][C]0[/C][/ROW]
[ROW][C][107,108[[/C][C]107.5[/C][C]5[/C][C]0.069444[/C][C]0.777778[/C][C]0.069444[/C][/ROW]
[ROW][C][108,109[[/C][C]108.5[/C][C]5[/C][C]0.069444[/C][C]0.847222[/C][C]0.069444[/C][/ROW]
[ROW][C][109,110[[/C][C]109.5[/C][C]1[/C][C]0.013889[/C][C]0.861111[/C][C]0.013889[/C][/ROW]
[ROW][C][110,111[[/C][C]110.5[/C][C]1[/C][C]0.013889[/C][C]0.875[/C][C]0.013889[/C][/ROW]
[ROW][C][111,112[[/C][C]111.5[/C][C]0[/C][C]0[/C][C]0.875[/C][C]0[/C][/ROW]
[ROW][C][112,113[[/C][C]112.5[/C][C]3[/C][C]0.041667[/C][C]0.916667[/C][C]0.041667[/C][/ROW]
[ROW][C][113,114][/C][C]113.5[/C][C]6[/C][C]0.083333[/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
[89,90[89.530.0416670.0416670.041667
[90,91[90.510.0138890.0555560.013889
[91,92[91.5120.1666670.2222220.166667
[92,93[92.5110.1527780.3750.152778
[93,94[93.510.0138890.3888890.013889
[94,95[94.5000.3888890
[95,96[95.510.0138890.4027780.013889
[96,97[96.530.0416670.4444440.041667
[97,98[97.570.0972220.5416670.097222
[98,99[98.510.0138890.5555560.013889
[99,100[99.530.0416670.5972220.041667
[100,101[100.510.0138890.6111110.013889
[101,102[101.510.0138890.6250.013889
[102,103[102.540.0555560.6805560.055556
[103,104[103.510.0138890.6944440.013889
[104,105[104.5000.6944440
[105,106[105.510.0138890.7083330.013889
[106,107[106.5000.7083330
[107,108[107.550.0694440.7777780.069444
[108,109[108.550.0694440.8472220.069444
[109,110[109.510.0138890.8611110.013889
[110,111[110.510.0138890.8750.013889
[111,112[111.5000.8750
[112,113[112.530.0416670.9166670.041667
[113,114]113.560.08333310.083333



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):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '6'
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')
}