Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 09 Feb 2009 10:21:09 -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/Feb/09/t1234200122dica3tfemd7w91r.htm/, Retrieved Thu, 09 May 2024 23:38:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=37146, Retrieved Thu, 09 May 2024 23:38:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact159
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [opgave 1 - freque...] [2009-02-09 17:21:09] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
22.535
22.980
22.910
22.440
22.650
23.100
23.020
21.680
21.650
21.660
22.490
21.850
21.050
21.480
20.740
20.440
20.060
19.910
20.100
19.740
20.365
20.095
19.990
20.450
20.310
20.260
20.100
19.830
19.800
19.910
19.400
19.520
19.430
19.330
19.340
19.590
19.670
19.790
19.660
20.140
19.600
19.360
19.320
19.470
19.750
19.760
19.660
20.310
20.250
20.270
20.270
20.270
20.780
19.340
19.200
18.840
18.830
18.950
18.515
18.400
18.860
18.865
18.635
18.485
18.900
18.570
18.470
18.490
18.950
18.920
19.280
18.760
17.760
18.265
18.955
19.100
19.280
19.260
20.050




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37146&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37146&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37146&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[17,18[17.510.0126580.0126580.012658
[18,19[18.5180.2278480.2405060.227848
[19,20[19.5280.354430.5949370.35443
[20,21[20.5180.2278480.8227850.227848
[21,22[21.560.0759490.8987340.075949
[22,23[22.560.0759490.9746840.075949
[23,24]23.520.02531610.025316

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[17,18[ & 17.5 & 1 & 0.012658 & 0.012658 & 0.012658 \tabularnewline
[18,19[ & 18.5 & 18 & 0.227848 & 0.240506 & 0.227848 \tabularnewline
[19,20[ & 19.5 & 28 & 0.35443 & 0.594937 & 0.35443 \tabularnewline
[20,21[ & 20.5 & 18 & 0.227848 & 0.822785 & 0.227848 \tabularnewline
[21,22[ & 21.5 & 6 & 0.075949 & 0.898734 & 0.075949 \tabularnewline
[22,23[ & 22.5 & 6 & 0.075949 & 0.974684 & 0.075949 \tabularnewline
[23,24] & 23.5 & 2 & 0.025316 & 1 & 0.025316 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=37146&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][17,18[[/C][C]17.5[/C][C]1[/C][C]0.012658[/C][C]0.012658[/C][C]0.012658[/C][/ROW]
[ROW][C][18,19[[/C][C]18.5[/C][C]18[/C][C]0.227848[/C][C]0.240506[/C][C]0.227848[/C][/ROW]
[ROW][C][19,20[[/C][C]19.5[/C][C]28[/C][C]0.35443[/C][C]0.594937[/C][C]0.35443[/C][/ROW]
[ROW][C][20,21[[/C][C]20.5[/C][C]18[/C][C]0.227848[/C][C]0.822785[/C][C]0.227848[/C][/ROW]
[ROW][C][21,22[[/C][C]21.5[/C][C]6[/C][C]0.075949[/C][C]0.898734[/C][C]0.075949[/C][/ROW]
[ROW][C][22,23[[/C][C]22.5[/C][C]6[/C][C]0.075949[/C][C]0.974684[/C][C]0.075949[/C][/ROW]
[ROW][C][23,24][/C][C]23.5[/C][C]2[/C][C]0.025316[/C][C]1[/C][C]0.025316[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=37146&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=37146&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
[17,18[17.510.0126580.0126580.012658
[18,19[18.5180.2278480.2405060.227848
[19,20[19.5280.354430.5949370.35443
[20,21[20.5180.2278480.8227850.227848
[21,22[21.560.0759490.8987340.075949
[22,23[22.560.0759490.9746840.075949
[23,24]23.520.02531610.025316



Parameters (Session):
par1 = 5 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 5 ; 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')