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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 computationMon, 02 Mar 2009 11:47:52 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/02/t1236019736kd6qypulsz2zovj.htm/, Retrieved Wed, 24 Apr 2024 09:08:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38380, Retrieved Wed, 24 Apr 2024 09:08:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [opgave 1 verbeter...] [2009-03-02 17:44:54] [74be16979710d4c4e7c6647856088456]
- RMP     [Histogram] [opgave 2 - oef 2/...] [2009-03-02 18:47:52] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20.050
19.260
19.280
19.100
18.955
18.265
17.760
18.760
19.280
18.920
18.950
18.490
18.470
18.570
18.900
18.485
18.635
18.865
18.860
18.400
18.515
18.950
18.830
18.840
19.200
19.340
20.780
20.270
20.270
20.270
20.250
20.310
19.660
19.760
19.750
19.470
19.320
19.360
19.600
20.140
19.660
19.790
19.670
19.590
19.340
19.330
19.430
19.520
19.400
19.910
19.800
19.830
20.100
20.260
20.310
20.450
19.990
20.095
20.365
19.740
20.100
19.910
20.060
20.440
20.740
21.480
21.050
21.850
22.490
21.660
21.650
21.680
23.020
23.100
22.650
22.440
22.910
22.980
22.535

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=38380&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=38380&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38380&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
[17.5,18[17.7510.0126580.0126580.025316
[18,18.5[18.2550.0632910.0759490.126582
[18.5,19[18.75130.1645570.2405060.329114
[19,19.5[19.25130.1645570.4050630.329114
[19.5,20[19.75150.1898730.5949370.379747
[20,20.5[20.25160.2025320.7974680.405063
[20.5,21[20.7520.0253160.8227850.050633
[21,21.5[21.2520.0253160.8481010.050633
[21.5,22[21.7540.0506330.8987340.101266
[22,22.5[22.2520.0253160.9240510.050633
[22.5,23[22.7540.0506330.9746840.101266
[23,23.5]23.2520.02531610.050633

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[17.5,18[ & 17.75 & 1 & 0.012658 & 0.012658 & 0.025316 \tabularnewline
[18,18.5[ & 18.25 & 5 & 0.063291 & 0.075949 & 0.126582 \tabularnewline
[18.5,19[ & 18.75 & 13 & 0.164557 & 0.240506 & 0.329114 \tabularnewline
[19,19.5[ & 19.25 & 13 & 0.164557 & 0.405063 & 0.329114 \tabularnewline
[19.5,20[ & 19.75 & 15 & 0.189873 & 0.594937 & 0.379747 \tabularnewline
[20,20.5[ & 20.25 & 16 & 0.202532 & 0.797468 & 0.405063 \tabularnewline
[20.5,21[ & 20.75 & 2 & 0.025316 & 0.822785 & 0.050633 \tabularnewline
[21,21.5[ & 21.25 & 2 & 0.025316 & 0.848101 & 0.050633 \tabularnewline
[21.5,22[ & 21.75 & 4 & 0.050633 & 0.898734 & 0.101266 \tabularnewline
[22,22.5[ & 22.25 & 2 & 0.025316 & 0.924051 & 0.050633 \tabularnewline
[22.5,23[ & 22.75 & 4 & 0.050633 & 0.974684 & 0.101266 \tabularnewline
[23,23.5] & 23.25 & 2 & 0.025316 & 1 & 0.050633 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38380&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][17.5,18[[/C][C]17.75[/C][C]1[/C][C]0.012658[/C][C]0.012658[/C][C]0.025316[/C][/ROW]
[ROW][C][18,18.5[[/C][C]18.25[/C][C]5[/C][C]0.063291[/C][C]0.075949[/C][C]0.126582[/C][/ROW]
[ROW][C][18.5,19[[/C][C]18.75[/C][C]13[/C][C]0.164557[/C][C]0.240506[/C][C]0.329114[/C][/ROW]
[ROW][C][19,19.5[[/C][C]19.25[/C][C]13[/C][C]0.164557[/C][C]0.405063[/C][C]0.329114[/C][/ROW]
[ROW][C][19.5,20[[/C][C]19.75[/C][C]15[/C][C]0.189873[/C][C]0.594937[/C][C]0.379747[/C][/ROW]
[ROW][C][20,20.5[[/C][C]20.25[/C][C]16[/C][C]0.202532[/C][C]0.797468[/C][C]0.405063[/C][/ROW]
[ROW][C][20.5,21[[/C][C]20.75[/C][C]2[/C][C]0.025316[/C][C]0.822785[/C][C]0.050633[/C][/ROW]
[ROW][C][21,21.5[[/C][C]21.25[/C][C]2[/C][C]0.025316[/C][C]0.848101[/C][C]0.050633[/C][/ROW]
[ROW][C][21.5,22[[/C][C]21.75[/C][C]4[/C][C]0.050633[/C][C]0.898734[/C][C]0.101266[/C][/ROW]
[ROW][C][22,22.5[[/C][C]22.25[/C][C]2[/C][C]0.025316[/C][C]0.924051[/C][C]0.050633[/C][/ROW]
[ROW][C][22.5,23[[/C][C]22.75[/C][C]4[/C][C]0.050633[/C][C]0.974684[/C][C]0.101266[/C][/ROW]
[ROW][C][23,23.5][/C][C]23.25[/C][C]2[/C][C]0.025316[/C][C]1[/C][C]0.050633[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38380&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38380&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
[17.5,18[17.7510.0126580.0126580.025316
[18,18.5[18.2550.0632910.0759490.126582
[18.5,19[18.75130.1645570.2405060.329114
[19,19.5[19.25130.1645570.4050630.329114
[19.5,20[19.75150.1898730.5949370.379747
[20,20.5[20.25160.2025320.7974680.405063
[20.5,21[20.7520.0253160.8227850.050633
[21,21.5[21.2520.0253160.8481010.050633
[21.5,22[21.7540.0506330.8987340.101266
[22,22.5[22.2520.0253160.9240510.050633
[22.5,23[22.7540.0506330.9746840.101266
[23,23.5]23.2520.02531610.050633


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')