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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 computationSun, 14 Feb 2010 10:20:18 -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/2010/Feb/14/t126616808843q9bisj4auk66v.htm/, Retrieved Sun, 28 Apr 2024 23:17:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=73053, Retrieved Sun, 28 Apr 2024 23:17:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact216

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] [Cijferreeks - Dro...] [2010-02-06 21:52:42] [605491e44df507249c49c170507aee1c]
- RMP     [Histogram] [Verbruik wijn ] [2010-02-14 17:20:18] [5c964c3d7ddd2ed48ce2db94081575d2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2550
2867
3458
2961
3163
2880
3331
3062
3534
3622
4464
5411
2564
2820
3508
3088
3299
2939
3320
3418
3604
3495
4163
4882
2211
3260
2992
2425
2707
3244
3965
3315
3333
3583
4021
4904
2252
2952
3573
3048
3059
2731
3563
3092
3478
3478
4308
5029
2075
3264
3308
3688
3136
2824
3644
4694
2914
3686
4358
5587
2265
3685
3754
3708
3210
3517
3905
3670
4221
4404
5086
5725
2367
3819
4067
4022
3937
4365
4290

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=73053&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=73053&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73053&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
[2000,2500[225060.0759490.0759490.000152
[2500,3000[2750130.1645570.2405060.000329
[3000,3500[3250220.2784810.5189870.000557
[3500,4000[3750190.2405060.7594940.000481
[4000,4500[4250110.1392410.8987340.000278
[4500,5000[475030.0379750.9367097.6e-05
[5000,5500[525030.0379750.9746847.6e-05
[5500,6000]575020.02531615.1e-05

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[2000,2500[ & 2250 & 6 & 0.075949 & 0.075949 & 0.000152 \tabularnewline
[2500,3000[ & 2750 & 13 & 0.164557 & 0.240506 & 0.000329 \tabularnewline
[3000,3500[ & 3250 & 22 & 0.278481 & 0.518987 & 0.000557 \tabularnewline
[3500,4000[ & 3750 & 19 & 0.240506 & 0.759494 & 0.000481 \tabularnewline
[4000,4500[ & 4250 & 11 & 0.139241 & 0.898734 & 0.000278 \tabularnewline
[4500,5000[ & 4750 & 3 & 0.037975 & 0.936709 & 7.6e-05 \tabularnewline
[5000,5500[ & 5250 & 3 & 0.037975 & 0.974684 & 7.6e-05 \tabularnewline
[5500,6000] & 5750 & 2 & 0.025316 & 1 & 5.1e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=73053&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][2000,2500[[/C][C]2250[/C][C]6[/C][C]0.075949[/C][C]0.075949[/C][C]0.000152[/C][/ROW]
[ROW][C][2500,3000[[/C][C]2750[/C][C]13[/C][C]0.164557[/C][C]0.240506[/C][C]0.000329[/C][/ROW]
[ROW][C][3000,3500[[/C][C]3250[/C][C]22[/C][C]0.278481[/C][C]0.518987[/C][C]0.000557[/C][/ROW]
[ROW][C][3500,4000[[/C][C]3750[/C][C]19[/C][C]0.240506[/C][C]0.759494[/C][C]0.000481[/C][/ROW]
[ROW][C][4000,4500[[/C][C]4250[/C][C]11[/C][C]0.139241[/C][C]0.898734[/C][C]0.000278[/C][/ROW]
[ROW][C][4500,5000[[/C][C]4750[/C][C]3[/C][C]0.037975[/C][C]0.936709[/C][C]7.6e-05[/C][/ROW]
[ROW][C][5000,5500[[/C][C]5250[/C][C]3[/C][C]0.037975[/C][C]0.974684[/C][C]7.6e-05[/C][/ROW]
[ROW][C][5500,6000][/C][C]5750[/C][C]2[/C][C]0.025316[/C][C]1[/C][C]5.1e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=73053&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=73053&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
[2000,2500[225060.0759490.0759490.000152
[2500,3000[2750130.1645570.2405060.000329
[3000,3500[3250220.2784810.5189870.000557
[3500,4000[3750190.2405060.7594940.000481
[4000,4500[4250110.1392410.8987340.000278
[4500,5000[475030.0379750.9367097.6e-05
[5000,5500[525030.0379750.9746847.6e-05
[5500,6000]575020.02531615.1e-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')