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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationFri, 12 Dec 2008 04:02:57 -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/2008/Dec/12/t12290798256yxjsc1fyvr2ub9.htm/, Retrieved Sat, 18 May 2024 05:09:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32543, Retrieved Sat, 18 May 2024 05:09:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact174

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [Paper histogram3] [2008-12-12 11:02:57] [a1f1fdabaee79c21770ea0f7b7f045f3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
30811
29877
28303
27605
26074
26112
32350
35804
36574
34486
32158
30965
30505
29629
28169
26972
25752
25027
31530
34705
35223
33471
29239
27954
27727
27314
26576
25775
24669
24480
30834
33218
33783
32546
30661
30070
29722
29075
28136
27315
26125
26057
32601
34214
35232
33565
31931
31779
31626
31230
29574
28312
27186
27397
33387
34996
36251
34284
32349
30991
29916
29067
27978
26719
25544
25703
31703
33733
35121
32714
31111
29977
30375
29323
28193
27222
26904
27952
33512
36215
36856
35341
32624
30885
31108
30267
28645
28474
25805
24756
30437
33177
33069
31342
28912
28373
28599
27884
25727
25393
23147
23164
29286
31008

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 6 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32543&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32543&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32543&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 time6 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[22000,24000[2300020.0192310.0192311e-05
[24000,26000[25000110.1057690.1255.3e-05
[26000,28000[27000190.1826920.3076929.1e-05
[28000,30000[29000210.2019230.5096150.000101
[30000,32000[31000210.2019230.7115380.000101
[32000,34000[33000160.1538460.8653857.7e-05
[34000,36000[35000100.0961540.9615384.8e-05
[36000,38000]3700040.03846211.9e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[22000,24000[ & 23000 & 2 & 0.019231 & 0.019231 & 1e-05 \tabularnewline
[24000,26000[ & 25000 & 11 & 0.105769 & 0.125 & 5.3e-05 \tabularnewline
[26000,28000[ & 27000 & 19 & 0.182692 & 0.307692 & 9.1e-05 \tabularnewline
[28000,30000[ & 29000 & 21 & 0.201923 & 0.509615 & 0.000101 \tabularnewline
[30000,32000[ & 31000 & 21 & 0.201923 & 0.711538 & 0.000101 \tabularnewline
[32000,34000[ & 33000 & 16 & 0.153846 & 0.865385 & 7.7e-05 \tabularnewline
[34000,36000[ & 35000 & 10 & 0.096154 & 0.961538 & 4.8e-05 \tabularnewline
[36000,38000] & 37000 & 4 & 0.038462 & 1 & 1.9e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32543&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][22000,24000[[/C][C]23000[/C][C]2[/C][C]0.019231[/C][C]0.019231[/C][C]1e-05[/C][/ROW]
[ROW][C][24000,26000[[/C][C]25000[/C][C]11[/C][C]0.105769[/C][C]0.125[/C][C]5.3e-05[/C][/ROW]
[ROW][C][26000,28000[[/C][C]27000[/C][C]19[/C][C]0.182692[/C][C]0.307692[/C][C]9.1e-05[/C][/ROW]
[ROW][C][28000,30000[[/C][C]29000[/C][C]21[/C][C]0.201923[/C][C]0.509615[/C][C]0.000101[/C][/ROW]
[ROW][C][30000,32000[[/C][C]31000[/C][C]21[/C][C]0.201923[/C][C]0.711538[/C][C]0.000101[/C][/ROW]
[ROW][C][32000,34000[[/C][C]33000[/C][C]16[/C][C]0.153846[/C][C]0.865385[/C][C]7.7e-05[/C][/ROW]
[ROW][C][34000,36000[[/C][C]35000[/C][C]10[/C][C]0.096154[/C][C]0.961538[/C][C]4.8e-05[/C][/ROW]
[ROW][C][36000,38000][/C][C]37000[/C][C]4[/C][C]0.038462[/C][C]1[/C][C]1.9e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32543&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32543&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
[22000,24000[2300020.0192310.0192311e-05
[24000,26000[25000110.1057690.1255.3e-05
[26000,28000[27000190.1826920.3076929.1e-05
[28000,30000[29000210.2019230.5096150.000101
[30000,32000[31000210.2019230.7115380.000101
[32000,34000[33000160.1538460.8653857.7e-05
[34000,36000[35000100.0961540.9615384.8e-05
[36000,38000]3700040.03846211.9e-05


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')