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*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Thu, 29 Sep 2016 15:22:14 +0100

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Sep/29/t1475158950qzwps6xtomm3uah.htm/, Retrieved Sun, 05 May 2024 01:39:44 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 01:39:44 +0200

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Estimated Impact

Dataseries X:

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.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]'Sir Ronald Aylmer Fisher' @ fisher.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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[1.06,1.08[	1.07	8	0.005476	0.005476	0.273785
[1.08,1.1[	1.09	5	0.003422	0.008898	0.171116
[1.1,1.12[	1.11	3	0.002053	0.010951	0.102669
[1.12,1.14[	1.13	5	0.003422	0.014374	0.171116
[1.14,1.16[	1.15	11	0.007529	0.021903	0.376454
[1.16,1.18[	1.17	22	0.015058	0.036961	0.752909
[1.18,1.2[	1.19	97	0.066393	0.103354	3.319644
[1.2,1.22[	1.21	39	0.026694	0.130048	1.334702
[1.22,1.24[	1.23	23	0.015743	0.145791	0.787132
[1.24,1.26[	1.25	12	0.008214	0.154004	0.410678
[1.26,1.28[	1.27	38	0.02601	0.180014	1.300479
[1.28,1.3[	1.29	66	0.045175	0.225188	2.258727
[1.3,1.32[	1.31	65	0.04449	0.269678	2.224504
[1.32,1.34[	1.33	4	0.002738	0.272416	0.136893
[1.34,1.36[	1.35	26	0.017796	0.290212	0.889802
[1.36,1.38[	1.37	50	0.034223	0.324435	1.711157
[1.38,1.4[	1.39	126	0.086242	0.410678	4.312115
[1.4,1.42[	1.41	212	0.145106	0.555784	7.255305
[1.42,1.44[	1.43	306	0.209446	0.765229	10.472279
[1.44,1.46[	1.45	176	0.120465	0.885695	6.023272
[1.46,1.48[	1.47	119	0.081451	0.967146	4.072553
[1.48,1.5[	1.49	44	0.030116	0.997262	1.505818
[1.5,1.52]	1.51	4	0.002738	1	0.136893

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1.06,1.08[ & 1.07 & 8 & 0.005476 & 0.005476 & 0.273785 \tabularnewline
[1.08,1.1[ & 1.09 & 5 & 0.003422 & 0.008898 & 0.171116 \tabularnewline
[1.1,1.12[ & 1.11 & 3 & 0.002053 & 0.010951 & 0.102669 \tabularnewline
[1.12,1.14[ & 1.13 & 5 & 0.003422 & 0.014374 & 0.171116 \tabularnewline
[1.14,1.16[ & 1.15 & 11 & 0.007529 & 0.021903 & 0.376454 \tabularnewline
[1.16,1.18[ & 1.17 & 22 & 0.015058 & 0.036961 & 0.752909 \tabularnewline
[1.18,1.2[ & 1.19 & 97 & 0.066393 & 0.103354 & 3.319644 \tabularnewline
[1.2,1.22[ & 1.21 & 39 & 0.026694 & 0.130048 & 1.334702 \tabularnewline
[1.22,1.24[ & 1.23 & 23 & 0.015743 & 0.145791 & 0.787132 \tabularnewline
[1.24,1.26[ & 1.25 & 12 & 0.008214 & 0.154004 & 0.410678 \tabularnewline
[1.26,1.28[ & 1.27 & 38 & 0.02601 & 0.180014 & 1.300479 \tabularnewline
[1.28,1.3[ & 1.29 & 66 & 0.045175 & 0.225188 & 2.258727 \tabularnewline
[1.3,1.32[ & 1.31 & 65 & 0.04449 & 0.269678 & 2.224504 \tabularnewline
[1.32,1.34[ & 1.33 & 4 & 0.002738 & 0.272416 & 0.136893 \tabularnewline
[1.34,1.36[ & 1.35 & 26 & 0.017796 & 0.290212 & 0.889802 \tabularnewline
[1.36,1.38[ & 1.37 & 50 & 0.034223 & 0.324435 & 1.711157 \tabularnewline
[1.38,1.4[ & 1.39 & 126 & 0.086242 & 0.410678 & 4.312115 \tabularnewline
[1.4,1.42[ & 1.41 & 212 & 0.145106 & 0.555784 & 7.255305 \tabularnewline
[1.42,1.44[ & 1.43 & 306 & 0.209446 & 0.765229 & 10.472279 \tabularnewline
[1.44,1.46[ & 1.45 & 176 & 0.120465 & 0.885695 & 6.023272 \tabularnewline
[1.46,1.48[ & 1.47 & 119 & 0.081451 & 0.967146 & 4.072553 \tabularnewline
[1.48,1.5[ & 1.49 & 44 & 0.030116 & 0.997262 & 1.505818 \tabularnewline
[1.5,1.52] & 1.51 & 4 & 0.002738 & 1 & 0.136893 \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][1.06,1.08[[/C][C]1.07[/C][C]8[/C][C]0.005476[/C][C]0.005476[/C][C]0.273785[/C][/ROW]
[ROW][C][1.08,1.1[[/C][C]1.09[/C][C]5[/C][C]0.003422[/C][C]0.008898[/C][C]0.171116[/C][/ROW]
[ROW][C][1.1,1.12[[/C][C]1.11[/C][C]3[/C][C]0.002053[/C][C]0.010951[/C][C]0.102669[/C][/ROW]
[ROW][C][1.12,1.14[[/C][C]1.13[/C][C]5[/C][C]0.003422[/C][C]0.014374[/C][C]0.171116[/C][/ROW]
[ROW][C][1.14,1.16[[/C][C]1.15[/C][C]11[/C][C]0.007529[/C][C]0.021903[/C][C]0.376454[/C][/ROW]
[ROW][C][1.16,1.18[[/C][C]1.17[/C][C]22[/C][C]0.015058[/C][C]0.036961[/C][C]0.752909[/C][/ROW]
[ROW][C][1.18,1.2[[/C][C]1.19[/C][C]97[/C][C]0.066393[/C][C]0.103354[/C][C]3.319644[/C][/ROW]
[ROW][C][1.2,1.22[[/C][C]1.21[/C][C]39[/C][C]0.026694[/C][C]0.130048[/C][C]1.334702[/C][/ROW]
[ROW][C][1.22,1.24[[/C][C]1.23[/C][C]23[/C][C]0.015743[/C][C]0.145791[/C][C]0.787132[/C][/ROW]
[ROW][C][1.24,1.26[[/C][C]1.25[/C][C]12[/C][C]0.008214[/C][C]0.154004[/C][C]0.410678[/C][/ROW]
[ROW][C][1.26,1.28[[/C][C]1.27[/C][C]38[/C][C]0.02601[/C][C]0.180014[/C][C]1.300479[/C][/ROW]
[ROW][C][1.28,1.3[[/C][C]1.29[/C][C]66[/C][C]0.045175[/C][C]0.225188[/C][C]2.258727[/C][/ROW]
[ROW][C][1.3,1.32[[/C][C]1.31[/C][C]65[/C][C]0.04449[/C][C]0.269678[/C][C]2.224504[/C][/ROW]
[ROW][C][1.32,1.34[[/C][C]1.33[/C][C]4[/C][C]0.002738[/C][C]0.272416[/C][C]0.136893[/C][/ROW]
[ROW][C][1.34,1.36[[/C][C]1.35[/C][C]26[/C][C]0.017796[/C][C]0.290212[/C][C]0.889802[/C][/ROW]
[ROW][C][1.36,1.38[[/C][C]1.37[/C][C]50[/C][C]0.034223[/C][C]0.324435[/C][C]1.711157[/C][/ROW]
[ROW][C][1.38,1.4[[/C][C]1.39[/C][C]126[/C][C]0.086242[/C][C]0.410678[/C][C]4.312115[/C][/ROW]
[ROW][C][1.4,1.42[[/C][C]1.41[/C][C]212[/C][C]0.145106[/C][C]0.555784[/C][C]7.255305[/C][/ROW]
[ROW][C][1.42,1.44[[/C][C]1.43[/C][C]306[/C][C]0.209446[/C][C]0.765229[/C][C]10.472279[/C][/ROW]
[ROW][C][1.44,1.46[[/C][C]1.45[/C][C]176[/C][C]0.120465[/C][C]0.885695[/C][C]6.023272[/C][/ROW]
[ROW][C][1.46,1.48[[/C][C]1.47[/C][C]119[/C][C]0.081451[/C][C]0.967146[/C][C]4.072553[/C][/ROW]
[ROW][C][1.48,1.5[[/C][C]1.49[/C][C]44[/C][C]0.030116[/C][C]0.997262[/C][C]1.505818[/C][/ROW]
[ROW][C][1.5,1.52][/C][C]1.51[/C][C]4[/C][C]0.002738[/C][C]1[/C][C]0.136893[/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)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[1.06,1.08[	1.07	8	0.005476	0.005476	0.273785
[1.08,1.1[	1.09	5	0.003422	0.008898	0.171116
[1.1,1.12[	1.11	3	0.002053	0.010951	0.102669
[1.12,1.14[	1.13	5	0.003422	0.014374	0.171116
[1.14,1.16[	1.15	11	0.007529	0.021903	0.376454
[1.16,1.18[	1.17	22	0.015058	0.036961	0.752909
[1.18,1.2[	1.19	97	0.066393	0.103354	3.319644
[1.2,1.22[	1.21	39	0.026694	0.130048	1.334702
[1.22,1.24[	1.23	23	0.015743	0.145791	0.787132
[1.24,1.26[	1.25	12	0.008214	0.154004	0.410678
[1.26,1.28[	1.27	38	0.02601	0.180014	1.300479
[1.28,1.3[	1.29	66	0.045175	0.225188	2.258727
[1.3,1.32[	1.31	65	0.04449	0.269678	2.224504
[1.32,1.34[	1.33	4	0.002738	0.272416	0.136893
[1.34,1.36[	1.35	26	0.017796	0.290212	0.889802
[1.36,1.38[	1.37	50	0.034223	0.324435	1.711157
[1.38,1.4[	1.39	126	0.086242	0.410678	4.312115
[1.4,1.42[	1.41	212	0.145106	0.555784	7.255305
[1.42,1.44[	1.43	306	0.209446	0.765229	10.472279
[1.44,1.46[	1.45	176	0.120465	0.885695	6.023272
[1.46,1.48[	1.47	119	0.081451	0.967146	4.072553
[1.48,1.5[	1.49	44	0.030116	0.997262	1.505818
[1.5,1.52]	1.51	4	0.002738	1	0.136893

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 28 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 28 ; 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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code