Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationThu, 19 Feb 2009 11:03:02 -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/19/t1235066696oaxb5fzjz2fdsca.htm/, Retrieved Sat, 11 May 2024 07:26:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38020, Retrieved Sat, 11 May 2024 07:26:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [histogram Werkloo...] [2009-02-19 18:03:02] [d19dedf3d9cbe742e7fe81d57ca6286d] [Current]
-   P     [Histogram] [histogram 2 aanta...] [2009-02-19 18:32:49] [30351243091eff526d7af31477975a34]
- RMP     [Kernel Density Estimation] [dichtheidsgrafiek...] [2009-02-19 18:37:40] [30351243091eff526d7af31477975a34]
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Dataseries X:
233084
233898
231355
232662
230037
231814
246796
247891
248291
245766
238776
242541
246861
246843
246947
241679
240085
241514
250525
250567
252145
251877
245817
248269
246310
246733
245028
240022
238614
238096
248530
248381
247567
241783
235000
237384
238020
236412
232279
230408
230254
229217
239658
239906
236558
223566
216054
214685
216086
211692
204681
203075
198401
191246
206750
209611
199573
195635
190062
193134
194795
190835
185045
184425
177293
180549
195344
196597
189102
185749
185145
192243
197356




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=38020&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=38020&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38020&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
[170000,180000[17500010.0136990.0136991e-06
[180000,190000[18500060.0821920.095898e-06
[190000,2e+05[195000120.1643840.2602741.6e-05
[2e+05,210000[20500040.0547950.3150685e-06
[210000,220000[21500040.0547950.3698635e-06
[220000,230000[22500020.0273970.397263e-06
[230000,240000[235000190.2602740.6575342.6e-05
[240000,250000[245000210.2876710.9452052.9e-05
[250000,260000]25500040.05479515e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[170000,180000[ & 175000 & 1 & 0.013699 & 0.013699 & 1e-06 \tabularnewline
[180000,190000[ & 185000 & 6 & 0.082192 & 0.09589 & 8e-06 \tabularnewline
[190000,2e+05[ & 195000 & 12 & 0.164384 & 0.260274 & 1.6e-05 \tabularnewline
[2e+05,210000[ & 205000 & 4 & 0.054795 & 0.315068 & 5e-06 \tabularnewline
[210000,220000[ & 215000 & 4 & 0.054795 & 0.369863 & 5e-06 \tabularnewline
[220000,230000[ & 225000 & 2 & 0.027397 & 0.39726 & 3e-06 \tabularnewline
[230000,240000[ & 235000 & 19 & 0.260274 & 0.657534 & 2.6e-05 \tabularnewline
[240000,250000[ & 245000 & 21 & 0.287671 & 0.945205 & 2.9e-05 \tabularnewline
[250000,260000] & 255000 & 4 & 0.054795 & 1 & 5e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38020&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][170000,180000[[/C][C]175000[/C][C]1[/C][C]0.013699[/C][C]0.013699[/C][C]1e-06[/C][/ROW]
[ROW][C][180000,190000[[/C][C]185000[/C][C]6[/C][C]0.082192[/C][C]0.09589[/C][C]8e-06[/C][/ROW]
[ROW][C][190000,2e+05[[/C][C]195000[/C][C]12[/C][C]0.164384[/C][C]0.260274[/C][C]1.6e-05[/C][/ROW]
[ROW][C][2e+05,210000[[/C][C]205000[/C][C]4[/C][C]0.054795[/C][C]0.315068[/C][C]5e-06[/C][/ROW]
[ROW][C][210000,220000[[/C][C]215000[/C][C]4[/C][C]0.054795[/C][C]0.369863[/C][C]5e-06[/C][/ROW]
[ROW][C][220000,230000[[/C][C]225000[/C][C]2[/C][C]0.027397[/C][C]0.39726[/C][C]3e-06[/C][/ROW]
[ROW][C][230000,240000[[/C][C]235000[/C][C]19[/C][C]0.260274[/C][C]0.657534[/C][C]2.6e-05[/C][/ROW]
[ROW][C][240000,250000[[/C][C]245000[/C][C]21[/C][C]0.287671[/C][C]0.945205[/C][C]2.9e-05[/C][/ROW]
[ROW][C][250000,260000][/C][C]255000[/C][C]4[/C][C]0.054795[/C][C]1[/C][C]5e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38020&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38020&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
[170000,180000[17500010.0136990.0136991e-06
[180000,190000[18500060.0821920.095898e-06
[190000,2e+05[195000120.1643840.2602741.6e-05
[2e+05,210000[20500040.0547950.3150685e-06
[210000,220000[21500040.0547950.3698635e-06
[220000,230000[22500020.0273970.397263e-06
[230000,240000[235000190.2602740.6575342.6e-05
[240000,250000[245000210.2876710.9452052.9e-05
[250000,260000]25500040.05479515e-06



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')