FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationWed, 17 Dec 2014 09:18:35 +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/2014/Dec/17/t14188079341aczbqy80yw1acr.htm/, Retrieved Thu, 16 May 2024 16:00:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269995, Retrieved Thu, 16 May 2024 16:00:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsFemales
Estimated Impact96

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Histogram] [2014-12-17 09:18:35] [56362764f298860a660cdbf2a3b24f96] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
136
133
125
161
103
121
87
146
130
89
130
128
117
122
129
142
99
101
132
121
110
140
133
130
109
140
99
110
138
116
127
133
142
147
140
121
121
88
137
125
124
139
137
113
106
89
130
126
128
110
136
106
135
131
118
88
109
107
99
126
116
121
128
128
53
145
108
128
133
118
126
119
134
138
140
113
110
133
128
100
123
136
122
120
137
108
121
122
118
128
107
130
103
125
124
99
132
103
115
140
108
161
118
125
103
103
135
100
135
129

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269995&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269995&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269995&T=0

As an alternative you can also use a QR Code:  
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 time0 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[50,60[5510.0090910.0090910.000909
[60,70[65000.0090910
[70,80[75000.0090910
[80,90[8550.0454550.0545450.004545
[90,100[9540.0363640.0909090.003636
[100,110[105170.1545450.2454550.015455
[110,120[115150.1363640.3818180.013636
[120,130[125300.2727270.6545450.027273
[130,140[135260.2363640.8909090.023636
[140,150[145100.0909090.9818180.009091
[150,160[155000.9818180
[160,170]16520.01818210.001818

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[50,60[ & 55 & 1 & 0.009091 & 0.009091 & 0.000909 \tabularnewline
[60,70[ & 65 & 0 & 0 & 0.009091 & 0 \tabularnewline
[70,80[ & 75 & 0 & 0 & 0.009091 & 0 \tabularnewline
[80,90[ & 85 & 5 & 0.045455 & 0.054545 & 0.004545 \tabularnewline
[90,100[ & 95 & 4 & 0.036364 & 0.090909 & 0.003636 \tabularnewline
[100,110[ & 105 & 17 & 0.154545 & 0.245455 & 0.015455 \tabularnewline
[110,120[ & 115 & 15 & 0.136364 & 0.381818 & 0.013636 \tabularnewline
[120,130[ & 125 & 30 & 0.272727 & 0.654545 & 0.027273 \tabularnewline
[130,140[ & 135 & 26 & 0.236364 & 0.890909 & 0.023636 \tabularnewline
[140,150[ & 145 & 10 & 0.090909 & 0.981818 & 0.009091 \tabularnewline
[150,160[ & 155 & 0 & 0 & 0.981818 & 0 \tabularnewline
[160,170] & 165 & 2 & 0.018182 & 1 & 0.001818 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269995&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][50,60[[/C][C]55[/C][C]1[/C][C]0.009091[/C][C]0.009091[/C][C]0.000909[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]0[/C][C]0[/C][C]0.009091[/C][C]0[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]0[/C][C]0[/C][C]0.009091[/C][C]0[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]5[/C][C]0.045455[/C][C]0.054545[/C][C]0.004545[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]4[/C][C]0.036364[/C][C]0.090909[/C][C]0.003636[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]17[/C][C]0.154545[/C][C]0.245455[/C][C]0.015455[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]15[/C][C]0.136364[/C][C]0.381818[/C][C]0.013636[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]30[/C][C]0.272727[/C][C]0.654545[/C][C]0.027273[/C][/ROW]
[ROW][C][130,140[[/C][C]135[/C][C]26[/C][C]0.236364[/C][C]0.890909[/C][C]0.023636[/C][/ROW]
[ROW][C][140,150[[/C][C]145[/C][C]10[/C][C]0.090909[/C][C]0.981818[/C][C]0.009091[/C][/ROW]
[ROW][C][150,160[[/C][C]155[/C][C]0[/C][C]0[/C][C]0.981818[/C][C]0[/C][/ROW]
[ROW][C][160,170][/C][C]165[/C][C]2[/C][C]0.018182[/C][C]1[/C][C]0.001818[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269995&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269995&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[50,60[5510.0090910.0090910.000909
[60,70[65000.0090910
[70,80[75000.0090910
[80,90[8550.0454550.0545450.004545
[90,100[9540.0363640.0909090.003636
[100,110[105170.1545450.2454550.015455
[110,120[115150.1363640.3818180.013636
[120,130[125300.2727270.6545450.027273
[130,140[135260.2363640.8909090.023636
[140,150[145100.0909090.9818180.009091
[150,160[155000.9818180
[160,170]16520.01818210.001818


Figures (Output of Computation)

Input Parameters & R Code

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):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- ''
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 {
plot(mytab <- table(x),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')
}