Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationTue, 17 Aug 2010 13:12:54 +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/Aug/17/t1282050887awpgyx7z9v3xbdi.htm/, Retrieved Thu, 31 Oct 2024 22:50:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=79109, Retrieved Thu, 31 Oct 2024 22:50:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKalhöfer Pim
Estimated Impact160
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Tijdreeks B Stap 2] [2010-08-17 13:12:54] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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Dataseries X:
76
75
74
72
70
69
70
72
73
73
74
76
74
67
66
58
55
58
64
68
66
76
75
88
85
83
77
66
65
65
63
62
57
68
69
79
74
76
82
75
75
76
78
77
67
74
68
87
76
88
95
96
96
105
108
113
101
107
102
116
105
121
134
140
131
141
131
128
123
129
125
144
135
141
156
159
146
154
145
133
126
127
122
148




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79109&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79109&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79109&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[50,60[5540.0476190.0476190.004762
[60,70[65150.1785710.226190.017857
[70,80[75250.2976190.523810.029762
[80,90[8560.0714290.5952380.007143
[90,100[9530.0357140.6309520.003571
[100,110[10560.0714290.7023810.007143
[110,120[11520.023810.726190.002381
[120,130[12580.0952380.8214290.009524
[130,140[13550.0595240.8809520.005952
[140,150[14570.0833330.9642860.008333
[150,160]15530.03571410.003571

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[50,60[ & 55 & 4 & 0.047619 & 0.047619 & 0.004762 \tabularnewline
[60,70[ & 65 & 15 & 0.178571 & 0.22619 & 0.017857 \tabularnewline
[70,80[ & 75 & 25 & 0.297619 & 0.52381 & 0.029762 \tabularnewline
[80,90[ & 85 & 6 & 0.071429 & 0.595238 & 0.007143 \tabularnewline
[90,100[ & 95 & 3 & 0.035714 & 0.630952 & 0.003571 \tabularnewline
[100,110[ & 105 & 6 & 0.071429 & 0.702381 & 0.007143 \tabularnewline
[110,120[ & 115 & 2 & 0.02381 & 0.72619 & 0.002381 \tabularnewline
[120,130[ & 125 & 8 & 0.095238 & 0.821429 & 0.009524 \tabularnewline
[130,140[ & 135 & 5 & 0.059524 & 0.880952 & 0.005952 \tabularnewline
[140,150[ & 145 & 7 & 0.083333 & 0.964286 & 0.008333 \tabularnewline
[150,160] & 155 & 3 & 0.035714 & 1 & 0.003571 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=79109&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]4[/C][C]0.047619[/C][C]0.047619[/C][C]0.004762[/C][/ROW]
[ROW][C][60,70[[/C][C]65[/C][C]15[/C][C]0.178571[/C][C]0.22619[/C][C]0.017857[/C][/ROW]
[ROW][C][70,80[[/C][C]75[/C][C]25[/C][C]0.297619[/C][C]0.52381[/C][C]0.029762[/C][/ROW]
[ROW][C][80,90[[/C][C]85[/C][C]6[/C][C]0.071429[/C][C]0.595238[/C][C]0.007143[/C][/ROW]
[ROW][C][90,100[[/C][C]95[/C][C]3[/C][C]0.035714[/C][C]0.630952[/C][C]0.003571[/C][/ROW]
[ROW][C][100,110[[/C][C]105[/C][C]6[/C][C]0.071429[/C][C]0.702381[/C][C]0.007143[/C][/ROW]
[ROW][C][110,120[[/C][C]115[/C][C]2[/C][C]0.02381[/C][C]0.72619[/C][C]0.002381[/C][/ROW]
[ROW][C][120,130[[/C][C]125[/C][C]8[/C][C]0.095238[/C][C]0.821429[/C][C]0.009524[/C][/ROW]
[ROW][C][130,140[[/C][C]135[/C][C]5[/C][C]0.059524[/C][C]0.880952[/C][C]0.005952[/C][/ROW]
[ROW][C][140,150[[/C][C]145[/C][C]7[/C][C]0.083333[/C][C]0.964286[/C][C]0.008333[/C][/ROW]
[ROW][C][150,160][/C][C]155[/C][C]3[/C][C]0.035714[/C][C]1[/C][C]0.003571[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=79109&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=79109&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
[50,60[5540.0476190.0476190.004762
[60,70[65150.1785710.226190.017857
[70,80[75250.2976190.523810.029762
[80,90[8560.0714290.5952380.007143
[90,100[9530.0357140.6309520.003571
[100,110[10560.0714290.7023810.007143
[110,120[11520.023810.726190.002381
[120,130[12580.0952380.8214290.009524
[130,140[13550.0595240.8809520.005952
[140,150[14570.0833330.9642860.008333
[150,160]15530.03571410.003571



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')