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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, 20 Oct 2008 16:47:54 -0600
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/Oct/21/t1224542910edjtycsv1tx8b0m.htm/, Retrieved Sun, 19 May 2024 18:22:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18280, Retrieved Sun, 19 May 2024 18:22:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Histogram] [Histogram: werkel...] [2008-10-20 22:47:54] [7957bb37a64ed417bbed8444b0b0ea8a] [Current]
Feedback Forum
2008-10-27 18:15:43 [Evelyn Ongena] [reply] 
Je hebt enkel de link in het document vervat, zonder enige uitleg of conclusie wat het moeilijk maakt je hierop te beoordelen.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2752
2373
1415
2466
2318
2346
1644
1421
1423
1930
2694
4938
1727
1899
1364
1992
2051
2082
1746
1271
1363
1664
2179
2305
2098
2231
1407
1966
2293
2045
1532
1333
1583
1712
2641
2267
2126
2231
1517
2010
2628
2115
1829
1636
1787
2122
2620
2555
2337
2524
1801
2417
2389
2267
2135
1760
1905
2176
2344
2673
2766
2785
2003
2588
2739
2703
2464
1974
2164
2385
2936
2700
2855
2764
1808
2588
2600
2526
2259
1738
1902
2137
2460
2495
2525
2465
1828
2273
2377
2344
2071
1611
1671
2256
1983
1921
2027

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=18280&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=18280&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18280&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
[1000,1500[125080.0824740.0824740.000165
[1500,2000[1750270.2783510.3608250.000557
[2000,2500[2250400.4123710.7731960.000825
[2500,3000[2750210.2164950.9896910.000433
[3000,3500[3250000.9896910
[3500,4000[3750000.9896910
[4000,4500[4250000.9896910
[4500,5000]475010.01030912.1e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1000,1500[ & 1250 & 8 & 0.082474 & 0.082474 & 0.000165 \tabularnewline
[1500,2000[ & 1750 & 27 & 0.278351 & 0.360825 & 0.000557 \tabularnewline
[2000,2500[ & 2250 & 40 & 0.412371 & 0.773196 & 0.000825 \tabularnewline
[2500,3000[ & 2750 & 21 & 0.216495 & 0.989691 & 0.000433 \tabularnewline
[3000,3500[ & 3250 & 0 & 0 & 0.989691 & 0 \tabularnewline
[3500,4000[ & 3750 & 0 & 0 & 0.989691 & 0 \tabularnewline
[4000,4500[ & 4250 & 0 & 0 & 0.989691 & 0 \tabularnewline
[4500,5000] & 4750 & 1 & 0.010309 & 1 & 2.1e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18280&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][1000,1500[[/C][C]1250[/C][C]8[/C][C]0.082474[/C][C]0.082474[/C][C]0.000165[/C][/ROW]
[ROW][C][1500,2000[[/C][C]1750[/C][C]27[/C][C]0.278351[/C][C]0.360825[/C][C]0.000557[/C][/ROW]
[ROW][C][2000,2500[[/C][C]2250[/C][C]40[/C][C]0.412371[/C][C]0.773196[/C][C]0.000825[/C][/ROW]
[ROW][C][2500,3000[[/C][C]2750[/C][C]21[/C][C]0.216495[/C][C]0.989691[/C][C]0.000433[/C][/ROW]
[ROW][C][3000,3500[[/C][C]3250[/C][C]0[/C][C]0[/C][C]0.989691[/C][C]0[/C][/ROW]
[ROW][C][3500,4000[[/C][C]3750[/C][C]0[/C][C]0[/C][C]0.989691[/C][C]0[/C][/ROW]
[ROW][C][4000,4500[[/C][C]4250[/C][C]0[/C][C]0[/C][C]0.989691[/C][C]0[/C][/ROW]
[ROW][C][4500,5000][/C][C]4750[/C][C]1[/C][C]0.010309[/C][C]1[/C][C]2.1e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18280&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18280&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
[1000,1500[125080.0824740.0824740.000165
[1500,2000[1750270.2783510.3608250.000557
[2000,2500[2250400.4123710.7731960.000825
[2500,3000[2750210.2164950.9896910.000433
[3000,3500[3250000.9896910
[3500,4000[3750000.9896910
[4000,4500[4250000.9896910
[4500,5000]475010.01030912.1e-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')