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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 29 Jul 2010 12:25:34 +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/2010/Jul/29/t1280406327ww99ezx0rnlmpdl.htm/, Retrieved Mon, 29 Apr 2024 02:32:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78171, Retrieved Mon, 29 Apr 2024 02:32:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsSchrauwen Nathalie
Estimated Impact145

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [TIJDREEKS A - STAP 3] [2010-07-29 12:25:34] [dd2ef098fd65ce7e9f689caa343b799f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
125
124
123
121
141
140
125
115
116
116
117
119
114
110
108
111
124
125
118
108
107
103
113
116
113
105
102
107
119
116
113
102
96
95
101
110
103
88
79
96
118
116
114
102
98
98
101
117
109
98
93
98
114
115
112
112
103
107
104
117
123
113
97
90
109
104
92
102
90
97
99
108
106
86
72
71
96
88
83
90
85
100
108
118
124
99
92
86
112
104
93
104
96
109
113
123
127
96
100
95
133
130
117
129
122
134
141
152
161
122
126
119
160
162
145
161
151
166
169
185

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78171&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78171&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78171&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[60,80[7030.0250.0250.00125
[80,100[90280.2333330.2583330.011667
[100,120[110580.4833330.7416670.024167
[120,140[130180.150.8916670.0075
[140,160[15060.050.9416670.0025
[160,180[17060.050.9916670.0025
[180,200]19010.00833310.000417

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[60,80[ & 70 & 3 & 0.025 & 0.025 & 0.00125 \tabularnewline
[80,100[ & 90 & 28 & 0.233333 & 0.258333 & 0.011667 \tabularnewline
[100,120[ & 110 & 58 & 0.483333 & 0.741667 & 0.024167 \tabularnewline
[120,140[ & 130 & 18 & 0.15 & 0.891667 & 0.0075 \tabularnewline
[140,160[ & 150 & 6 & 0.05 & 0.941667 & 0.0025 \tabularnewline
[160,180[ & 170 & 6 & 0.05 & 0.991667 & 0.0025 \tabularnewline
[180,200] & 190 & 1 & 0.008333 & 1 & 0.000417 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78171&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][60,80[[/C][C]70[/C][C]3[/C][C]0.025[/C][C]0.025[/C][C]0.00125[/C][/ROW]
[ROW][C][80,100[[/C][C]90[/C][C]28[/C][C]0.233333[/C][C]0.258333[/C][C]0.011667[/C][/ROW]
[ROW][C][100,120[[/C][C]110[/C][C]58[/C][C]0.483333[/C][C]0.741667[/C][C]0.024167[/C][/ROW]
[ROW][C][120,140[[/C][C]130[/C][C]18[/C][C]0.15[/C][C]0.891667[/C][C]0.0075[/C][/ROW]
[ROW][C][140,160[[/C][C]150[/C][C]6[/C][C]0.05[/C][C]0.941667[/C][C]0.0025[/C][/ROW]
[ROW][C][160,180[[/C][C]170[/C][C]6[/C][C]0.05[/C][C]0.991667[/C][C]0.0025[/C][/ROW]
[ROW][C][180,200][/C][C]190[/C][C]1[/C][C]0.008333[/C][C]1[/C][C]0.000417[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78171&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78171&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
[60,80[7030.0250.0250.00125
[80,100[90280.2333330.2583330.011667
[100,120[110580.4833330.7416670.024167
[120,140[130180.150.8916670.0075
[140,160[15060.050.9416670.0025
[160,180[17060.050.9916670.0025
[180,200]19010.00833310.000417


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):
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')