Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationMon, 20 Oct 2008 14:53:50 -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/20/t1224536098qtes8hpm0zwphj1.htm/, Retrieved Wed, 29 May 2024 06:40:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18136, Retrieved Wed, 29 May 2024 06:40:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact127
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Histogram] [histogram tijdree...] [2008-10-20 20:53:50] [e81ac192d6ae6d77191d83851a692999] [Current]
Feedback Forum
2008-10-24 12:22:39 [Kim Wester] [reply
Correct. Ook hier had de titel van het histogram kunnen worden aangepast.

Post a new message
Dataseries X:
144029
145762
144897
141466
142904
144615
149162
148476
148599
149027
151547
153647
156787
160249
159822
160137
159085
156606
158859
159186
159303
155148
144665
146215
147123
148735
152488
150507
150954
155431
153617
154267
154800
148101
150616
149924
146449
144297
136525
131800
128760
122731
115046
110411
111372
108636
96445
95589
92048
89532
84641
78039
74693
70542
72444
71674
69822
73983
77579
78886




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18136&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18136&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18136&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[60000,70000[6500010.0166670.0166672e-06
[70000,80000[7500080.1333330.151.3e-05
[80000,90000[8500020.0333330.1833333e-06
[90000,1e+05[9500030.050.2333335e-06
[1e+05,110000[10500010.0166670.252e-06
[110000,120000[11500030.050.35e-06
[120000,130000[12500020.0333330.3333333e-06
[130000,140000[13500020.0333330.3666673e-06
[140000,150000[145000180.30.6666673e-05
[150000,160000[155000180.30.9666673e-05
[160000,170000]16500020.03333313e-06

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[60000,70000[ & 65000 & 1 & 0.016667 & 0.016667 & 2e-06 \tabularnewline
[70000,80000[ & 75000 & 8 & 0.133333 & 0.15 & 1.3e-05 \tabularnewline
[80000,90000[ & 85000 & 2 & 0.033333 & 0.183333 & 3e-06 \tabularnewline
[90000,1e+05[ & 95000 & 3 & 0.05 & 0.233333 & 5e-06 \tabularnewline
[1e+05,110000[ & 105000 & 1 & 0.016667 & 0.25 & 2e-06 \tabularnewline
[110000,120000[ & 115000 & 3 & 0.05 & 0.3 & 5e-06 \tabularnewline
[120000,130000[ & 125000 & 2 & 0.033333 & 0.333333 & 3e-06 \tabularnewline
[130000,140000[ & 135000 & 2 & 0.033333 & 0.366667 & 3e-06 \tabularnewline
[140000,150000[ & 145000 & 18 & 0.3 & 0.666667 & 3e-05 \tabularnewline
[150000,160000[ & 155000 & 18 & 0.3 & 0.966667 & 3e-05 \tabularnewline
[160000,170000] & 165000 & 2 & 0.033333 & 1 & 3e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18136&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][60000,70000[[/C][C]65000[/C][C]1[/C][C]0.016667[/C][C]0.016667[/C][C]2e-06[/C][/ROW]
[ROW][C][70000,80000[[/C][C]75000[/C][C]8[/C][C]0.133333[/C][C]0.15[/C][C]1.3e-05[/C][/ROW]
[ROW][C][80000,90000[[/C][C]85000[/C][C]2[/C][C]0.033333[/C][C]0.183333[/C][C]3e-06[/C][/ROW]
[ROW][C][90000,1e+05[[/C][C]95000[/C][C]3[/C][C]0.05[/C][C]0.233333[/C][C]5e-06[/C][/ROW]
[ROW][C][1e+05,110000[[/C][C]105000[/C][C]1[/C][C]0.016667[/C][C]0.25[/C][C]2e-06[/C][/ROW]
[ROW][C][110000,120000[[/C][C]115000[/C][C]3[/C][C]0.05[/C][C]0.3[/C][C]5e-06[/C][/ROW]
[ROW][C][120000,130000[[/C][C]125000[/C][C]2[/C][C]0.033333[/C][C]0.333333[/C][C]3e-06[/C][/ROW]
[ROW][C][130000,140000[[/C][C]135000[/C][C]2[/C][C]0.033333[/C][C]0.366667[/C][C]3e-06[/C][/ROW]
[ROW][C][140000,150000[[/C][C]145000[/C][C]18[/C][C]0.3[/C][C]0.666667[/C][C]3e-05[/C][/ROW]
[ROW][C][150000,160000[[/C][C]155000[/C][C]18[/C][C]0.3[/C][C]0.966667[/C][C]3e-05[/C][/ROW]
[ROW][C][160000,170000][/C][C]165000[/C][C]2[/C][C]0.033333[/C][C]1[/C][C]3e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18136&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18136&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
[60000,70000[6500010.0166670.0166672e-06
[70000,80000[7500080.1333330.151.3e-05
[80000,90000[8500020.0333330.1833333e-06
[90000,1e+05[9500030.050.2333335e-06
[1e+05,110000[10500010.0166670.252e-06
[110000,120000[11500030.050.35e-06
[120000,130000[12500020.0333330.3333333e-06
[130000,140000[13500020.0333330.3666673e-06
[140000,150000[145000180.30.6666673e-05
[150000,160000[155000180.30.9666673e-05
[160000,170000]16500020.03333313e-06



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